| 4244 |
2023-01-30 |
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and
Large Language Models |
link |
Junnan Li, Dongxu Li,..., Steven Hoi |
| 3282 |
2022-12-06 |
Robust Speech Recognition via Large-Scale Weak Supervision |
link |
Alec Radford, Jong Wook Kim,..., Ilya Sutskever |
| 1565 |
2023-03-06 |
PaLM-E: An Embodied Multimodal Language Model |
link |
Danny Driess, Fei Xia,..., Pete Florence |
| 864 |
2023-03-02 |
Consistency Models |
link |
Yang Song, Prafulla Dhariwal,..., Ilya Sutskever |
| 733 |
2022-11-18 |
SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language
Models |
link |
Guangxuan Xiao, Ji Lin,..., Song Han |
| 627 |
2023-01-31 |
The Flan Collection: Designing Data and Methods for Effective
Instruction Tuning |
link |
Shayne Longpre, Le Hou,..., Adam Roberts |
| 529 |
2023-01-31 |
Large Language Models Can Be Easily Distracted by Irrelevant
Context |
link |
Freda Shi, Xinyun Chen,..., Denny Zhou |
| 519 |
2023-01-02 |
Muse: Text-To-Image Generation via Masked Generative Transformers |
link |
Huiwen Chang, Han Zhang,..., Dilip Krishnan |
| 474 |
2022-10-19 |
Scaling Laws for Reward Model Overoptimization |
link |
Leo Gao, John Schulman, Jacob Hilton |
| 467 |
2023-01-29 |
AudioLDM: Text-to-Audio Generation with Latent Diffusion Models |
link |
Haohe Liu, Zehua Chen,..., Mark D Plumbley |
| 413 |
2022-11-18 |
PAL: Program-aided Language Models |
link |
Luyu Gao, Aman Madaan,..., Graham Neubig |
| 381 |
2022-11-15 |
Large Language Models Struggle to Learn Long-Tail Knowledge |
link |
Nikhil Kandpal, Haikang Deng,..., Colin Raffel |
| 365 |
2023-02-16 |
MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation |
link |
Omer Bar-Tal, Lior Yariv,..., Tali Dekel |
| 317 |
2023-01-30 |
Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models |
link |
Rongjie Huang, Jiawei Huang,..., Zhou Zhao |
| 309 |
2022-11-18 |
DS-1000: A Natural and Reliable Benchmark for Data Science
Code Generation |
link |
Yuhang Lai, Chengxi Li,..., Tao Yu |
| 279 |
2023-02-20 |
Composer: Creative and Controllable Image Synthesis with Composable Conditions |
link |
Lianghua Huang, Di Chen,..., Jingren Zhou |
| 274 |
2023-04-14 |
Cross-Entropy Loss Functions: Theoretical Analysis and Applications |
link |
Anqi Mao, Mehryar Mohri, Yutao Zhong |
| 274 |
2023-01-17 |
Prompting Large Language Model for Machine Translation: A Case
Study |
link |
Biao Zhang, Barry Haddow, Alexandra Birch |
| 248 |
2023-01-26 |
simple diffusion: End-to-end diffusion for high resolution images |
link |
Emiel Hoogeboom, Jonathan Heek, Tim Salimans |
| 244 |
2023-01-24 |
ClimaX: A foundation model for weather and climate |
link |
Tung Nguyen, Johannes Brandstetter,..., Aditya Grover |
| 239 |
2022-09-30 |
TabDDPM: Modelling Tabular Data with Diffusion Models |
link |
Akim Kotelnikov, Dmitry Baranchuk,..., Artem Babenko |
| 214 |
2022-12-19 |
The case for 4-bit precision: k-bit Inference Scaling Laws |
link |
Tim Dettmers, Luke Zettlemoyer |
| 209 |
2023-02-16 |
LEVER: Learning to Verify Language-to-Code Generation with Execution |
link |
Ansong Ni, Srini Iyer,..., Xi Victoria Lin |
| 208 |
2023-02-09 |
Better Diffusion Models Further Improve Adversarial Training |
link |
Zekai Wang, Tianyu Pang,..., Shuicheng YAN |
| 195 |
2023-02-05 |
SE(3) diffusion model with application to protein backbone generation |
link |
Jason Yim, Brian L. Trippe,..., Tommi S. Jaakkola |
| 188 |
2022-06-17 |
VectorMapNet: End-to-end Vectorized HD Map Learning |
link |
Yicheng Liu, Tianyuan Yuan,..., Hang Zhao |
| 185 |
2023-05-01 |
Poisoning Language Models During Instruction Tuning |
link |
Alexander Wan, Eric Wallace,..., Dan Klein |
| 180 |
2023-02-06 |
Grounding Large Language Models in Interactive Environments with Online
Reinforcement Learning |
link |
Thomas Carta, Clément ROMAC,..., Pierre-Yves Oudeyer |
| 180 |
2023-01-26 |
Principled Reinforcement Learning with Human Feedback from Pairwise or
K-wise Comparisons |
link |
Banghua Zhu, Michael Jordan, Jiantao Jiao |
| 174 |
2023-02-13 |
Guiding Pretraining in Reinforcement Learning with Large Language Models |
link |
Yuqing Du, Olivia Watkins,..., Jacob Andreas |
| 170 |
2023-02-20 |
NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware
Diffusion |
link |
Jiatao Gu, Alex Trevithick,..., Ravi Ramamoorthi |
| 161 |
2023-02-28 |
GNOT: A General Neural Operator Transformer for Operator Learning |
link |
Zhongkai Hao, Zhengyi Wang,..., Jun Zhu |
| 160 |
2023-02-01 |
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image
and Video |
link |
Haiyang Xu, Qinghao Ye,..., Jingren Zhou |
| 157 |
2023-03-08 |
Automatically Auditing Large Language Models via Discrete Optimization |
link |
Erik Jones, Anca Dragan,..., Jacob Steinhardt |
| 156 |
2023-01-27 |
Image Restoration with Mean-Reverting Stochastic Differential Equations |
link |
Ziwei Luo, Fredrik K. Gustafsson,..., Thomas B. Schön |
| 152 |
2023-01-17 |
Transformers as Algorithms: Generalization and Stability in In-context Learning |
link |
Yingcong Li, Muhammed Emrullah Ildiz,..., Samet Oymak |
| 149 |
2023-03-12 |
One Transformer Fits All Distributions in Multi-Modal Diffusion at
Scale |
link |
Fan Bao, Shen Nie,..., Jun Zhu |
| 147 |
2023-01-26 |
Text-To-4D Dynamic Scene Generation |
link |
Uriel Singer, Shelly Sheynin,..., Yaniv Taigman |
| 144 |
2022-11-27 |
SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic
Segmentation |
link |
Huaishao Luo, Junwei Bao,..., Tianrui Li |
| 137 |
2022-06-26 |
Repository-Level Prompt Generation for Large Language Models of Code |
link |
Disha Shrivastava, Hugo Larochelle, Daniel Tarlow |
| 135 |
2023-05-02 |
Geometric Latent Diffusion Models for 3D Molecule Generation |
link |
Minkai Xu, Alexander S Powers,..., Jure Leskovec |
| 132 |
2023-02-12 |
I$^2$SB: Image-to-Image Schrödinger Bridge |
link |
Guan-Horng Liu, Arash Vahdat,..., Anima Anandkumar |
| 131 |
2022-11-24 |
Fast Sampling of Diffusion Models via Operator Learning |
link |
Hongkai Zheng, Weili Nie,..., Anima Anandkumar |
| 130 |
2023-02-22 |
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models
and MCMC |
link |
Yilun Du, Conor Durkan,..., Will Sussman Grathwohl |
| 129 |
2022-11-19 |
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory |
link |
Justin Cui, Ruochen Wang,..., Cho-Jui Hsieh |
| 126 |
2023-04-28 |
Multisample Flow Matching: Straightening Flows with Minibatch Couplings |
link |
Aram-Alexandre Pooladian, Heli Ben-Hamu,..., Ricky T. Q. Chen |
| 124 |
2022-11-03 |
Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under
Minimal Smoothness Assumptions |
link |
Hongrui Chen, Holden Lee, Jianfeng Lu |
| 121 |
2023-06-01 |
LIV: Language-Image Representations and Rewards for Robotic Control |
link |
Yecheng Jason Ma, Vikash Kumar,..., Dinesh Jayaraman |
| 120 |
2022-06-20 |
Global Context Vision Transformers |
link |
Ali Hatamizadeh, Hongxu Yin,..., Pavlo Molchanov |
| 117 |
2023-01-31 |
Grounding Language Models to Images for Multimodal Inputs and
Outputs |
link |
Jing Yu Koh, Ruslan Salakhutdinov, Daniel Fried |
| 117 |
2023-02-05 |
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided
by Generative Pretraining |
link |
Zekun Qi, Runpei Dong,..., Li Yi |
| 114 |
None |
Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation |
link |
Jiaming Song, Qinsheng Zhang,..., Arash Vahdat |
| 112 |
2023-02-06 |
On Over-Squashing in Message Passing Neural Networks: The Impact
of Width, Depth, and Topology |
link |
Francesco Di Giovanni, Lorenzo Giusti,..., Michael M. Bronstein |
| 111 |
2023-02-11 |
Compositional Exemplars for In-context Learning |
link |
Jiacheng Ye, Zhiyong Wu,..., Lingpeng Kong |
| 109 |
2023-02-02 |
Are Diffusion Models Vulnerable to Membership Inference Attacks? |
link |
Jinhao Duan, Fei Kong,..., Kaidi Xu |
| 108 |
2022-04-05 |
Jump-Start Reinforcement Learning |
link |
Ikechukwu Uchendu, Ted Xiao,..., Karol Hausman |
| 107 |
2023-01-30 |
ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object
Navigation |
link |
Kaiwen Zhou, Kaizhi Zheng,..., Xin Eric Wang |
| 106 |
2022-12-22 |
Scalable Adaptive Computation for Iterative Generation |
link |
Allan Jabri, David J. Fleet, Ting Chen |
| 103 |
2023-01-10 |
Scaling Laws for Generative Mixed-Modal Language Models |
link |
Armen Aghajanyan, LILI YU,..., Luke Zettlemoyer |
| 102 |
2023-02-02 |
The Unreasonable Effectiveness of Few-shot Learning for Machine Translation |
link |
Xavier Garcia, Yamini Bansal,..., Orhan Firat |
| 98 |
2023-03-10 |
Exphormer: Sparse Transformers for Graphs |
link |
Hamed Shirzad, Ameya Velingker,..., Ali Kemal Sinop |
| 96 |
2023-02-06 |
A Toy Model of Universality: Reverse Engineering how Networks
Learn Group Operations |
link |
Bilal Chughtai, Lawrence Chan, Neel Nanda |
| 95 |
2023-02-23 |
Change is Hard: A Closer Look at Subpopulation Shift |
link |
Yuzhe Yang, Haoran Zhang,..., Marzyeh Ghassemi |
| 95 |
None |
Retrieval-Augmented Multimodal Language Modeling |
link |
Michihiro Yasunaga, Armen Aghajanyan,..., Wen-tau Yih |
| 94 |
2023-01-30 |
Looped Transformers as Programmable Computers |
link |
Angeliki Giannou, Shashank Rajput,..., Dimitris Papailiopoulos |
| 94 |
2023-05-01 |
Deep Graph Representation Learning and Optimization for Influence Maximization |
link |
Chen Ling, Junji Jiang,..., Liang Zhao |
| 92 |
2022-11-29 |
Coder Reviewer Reranking for Code Generation |
link |
Tianyi Zhang, Tao Yu,..., Sida Wang |
| 90 |
2023-02-14 |
Score Approximation, Estimation and Distribution Recovery of Diffusion Models
on Low-Dimensional Data |
link |
Minshuo Chen, Kaixuan Huang,..., Mengdi Wang |
| 88 |
2022-12-27 |
A Generalization of ViT/MLP-Mixer to Graphs |
link |
Xiaoxin He, Bryan Hooi,..., Xavier Bresson |
| 87 |
2023-02-21 |
On Provable Copyright Protection for Generative Models |
link |
Nikhil Vyas, Sham M. Kakade, Boaz Barak |
| 87 |
2022-10-23 |
Multi-Objective GFlowNets |
link |
Moksh Jain, Sharath Chandra Raparthy,..., Emmanuel Bengio |
| 85 |
2022-08-18 |
Open-Vocabulary Universal Image Segmentation with MaskCLIP |
link |
Zheng Ding, Jieke Wang, Zhuowen Tu |
| 85 |
2023-05-27 |
Graph Inductive Biases in Transformers without Message Passing |
link |
Liheng Ma, Chen Lin,..., Ser-Nam Lim |
| 84 |
2022-12-28 |
Cramming: Training a Language Model on a single GPU
in one day. |
link |
Jonas Geiping, Tom Goldstein |
| 84 |
2023-04-27 |
Controlled Text Generation with Natural Language Instructions |
link |
Wangchunshu Zhou, Yuchen Eleanor Jiang,..., Mrinmaya Sachan |
| 83 |
2023-06-01 |
In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation |
link |
Julian Bitterwolf, Maximilian Müller, Matthias Hein |
| 83 |
2023-01-23 |
On the Expressive Power of Geometric Graph Neural Networks |
link |
Chaitanya K. Joshi, Cristian Bodnar,..., Pietro Lio |
| 82 |
2023-02-06 |
Protecting Language Generation Models via Invisible Watermarking |
link |
Xuandong Zhao, Yu-Xiang Wang, Lei Li |
| 82 |
2023-05-30 |
Bigger, Better, Faster: Human-level Atari with human-level efficiency |
link |
Max Schwarzer, Johan Samir Obando Ceron,..., Pablo Samuel Castro |
| 81 |
2022-12-20 |
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization |
link |
Alexandre Rame, Kartik Ahuja,..., David Lopez-Paz |
| 79 |
2023-02-07 |
Exploring the Benefits of Training Expert Language Models over
Instruction Tuning |
link |
Joel Jang, Seungone Kim,..., Minjoon Seo |
| 79 |
2023-02-07 |
Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs |
link |
Saro Passaro, C. Lawrence Zitnick |
| 79 |
2023-02-06 |
CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets |
link |
Zachary Novack, Julian McAuley,..., Saurabh Garg |
| 79 |
2023-01-30 |
A theory of continuous generative flow networks |
link |
Salem Lahlou, Tristan Deleu,..., Nikolay Malkin |
| 79 |
2023-01-29 |
Unifying Molecular and Textual Representations via Multi-task Language Modelling |
link |
Dimitrios Christofidellis, Giorgio Giannone,..., Matteo Manica |
| 77 |
2022-11-29 |
SinDDM: A Single Image Denoising Diffusion Model |
link |
Vladimir Kulikov, Shahar Yadin,..., Tomer Michaeli |
| 77 |
2023-01-28 |
Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision
Making using Language Guided World Modelling |
link |
Kolby Nottingham, Prithviraj Ammanabrolu,..., Roy Fox |
| 77 |
2023-06-26 |
LongCoder: A Long-Range Pre-trained Language Model for Code Completion |
link |
Daya Guo, Canwen Xu,..., Julian McAuley |
| 75 |
2022-06-06 |
Exploring Chemical Space with Score-based Out-of-distribution Generation |
link |
Seul Lee, Jaehyeong Jo, Sung Ju Hwang |
| 74 |
2023-01-29 |
Generating Novel, Designable, and Diverse Protein Structures by Equivariantly
Diffusing Oriented Residue Clouds |
link |
Yeqing Lin, Mohammed AlQuraishi |
| 74 |
2023-02-02 |
CLIPood: Generalizing CLIP to Out-of-Distributions |
link |
Yang Shu, Xingzhuo Guo,..., Mingsheng Long |
| 72 |
2022-09-08 |
Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence
Modelling in Offline RL |
link |
Taku Yamagata, Ahmed Khalil, Raul Santos-Rodriguez |
| 69 |
None |
Can Large Language Models Reason about Program Invariants? |
link |
Kexin Pei, David Bieber,..., Pengcheng Yin |
| 69 |
2022-11-21 |
SinFusion: Training Diffusion Models on a Single Image or
Video |
link |
Yaniv Nikankin, Niv Haim, michal Irani |
| 68 |
2024-02-26 |
DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug
Design |
link |
Jiaqi Guan, Xiangxin Zhou,..., Quanquan Gu |
| 68 |
2022-10-04 |
Less is More: Task-aware Layer-wise Distillation for Language Model
Compression |
link |
Chen Liang, Simiao Zuo,..., Tuo Zhao |
| 68 |
2023-02-16 |
Aligning Language Models with Preferences through $f$-divergence Minimization |
link |
Dongyoung Go, Tomasz Korbak,..., Marc Dymetman |
| 67 |
2023-02-13 |
Task-Specific Skill Localization in Fine-tuned Language Models |
link |
Abhishek Panigrahi, Nikunj Saunshi,..., Sanjeev Arora |
| 67 |
2023-02-01 |
Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models |
link |
Zhihong Shao, Yeyun Gong,..., Weizhu Chen |
| 66 |
2022-11-29 |
Linear Causal Disentanglement via Interventions |
link |
Chandler Squires, Anna Seigal,..., Caroline Uhler |
| 66 |
2023-06-20 |
LoSparse: Structured Compression of Large Language Models based on
Low-Rank and Sparse Approximation |
link |
Yixiao Li, Yifan Yu,..., Tuo Zhao |
| 65 |
2023-07-17 |
Autoregressive Diffusion Model for Graph Generation |
link |
Lingkai Kong, Jiaming Cui,..., Chao Zhang |
| 65 |
2023-02-08 |
PFGM++: Unlocking the Potential of Physics-Inspired Generative Models |
link |
Yilun Xu, Ziming Liu,..., Tommi S. Jaakkola |
| 65 |
2022-12-12 |
On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline |
link |
Nicklas Hansen, Zhecheng Yuan,..., Xiaolong Wang |
| 65 |
2023-05-10 |
XTab: Cross-table Pretraining for Tabular Transformers |
link |
Bingzhao Zhu, Xingjian Shi,..., Mahsa Shoaran |
| 64 |
2023-01-27 |
Input Perturbation Reduces Exposure Bias in Diffusion Models |
link |
Mang Ning, Enver Sangineto,..., Rita Cucchiara |
| 64 |
2023-02-14 |
Understanding Oversquashing in GNNs through the Lens of Effective
Resistance |
link |
Mitchell Black, Zhengchao Wan,..., Yusu Wang |
| 64 |
2023-03-11 |
Stabilizing Transformer Training by Preventing Attention Entropy Collapse |
link |
Shuangfei Zhai, Tatiana Likhomanenko,..., Joshua M. Susskind |
| 64 |
2023-06-02 |
Probabilistic Concept Bottleneck Models |
link |
Eunji Kim, Dahuin Jung,..., Sungroh Yoon |
| 62 |
2023-03-06 |
Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic Analysis For DDIM-type
Samplers |
link |
Sitan Chen, Giannis Daras, Alex Dimakis |
| 62 |
2022-11-28 |
Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature |
link |
Khang Nguyen, Nong Minh Hieu,..., Tan Minh Nguyen |
| 61 |
2023-03-07 |
How Do Transformers Learn Topic Structure: Towards a Mechanistic
Understanding |
link |
Yuchen Li, Yuanzhi Li, Andrej Risteski |
| 61 |
2022-11-11 |
Equivariance with Learned Canonicalization Functions |
link |
Sékou-Oumar Kaba, Arnab Kumar Mondal,..., Siamak Ravanbakhsh |
| 61 |
2023-05-30 |
FedDisco: Federated Learning with Discrepancy-Aware Collaboration |
link |
Rui Ye, Mingkai Xu,..., Yanfeng Wang |
| 60 |
2023-02-06 |
Domain Adaptation for Time Series Under Feature and Label
Shifts |
link |
Huan He, Owen Queen,..., Marinka Zitnik |
| 60 |
2022-12-22 |
Text Generation with Diffusion Language Models: A Pre-training Approach
with Continuous Paragraph Denoise |
link |
Zhenghao Lin, Yeyun Gong,..., Weizhu Chen |
| 60 |
2023-04-06 |
Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models |
link |
Guanhua Zhang, Jiabao Ji,..., Shiyu Chang |
| 60 |
2023-04-13 |
Language Instructed Reinforcement Learning for Human-AI Coordination |
link |
Hengyuan Hu, Dorsa Sadigh |
| 60 |
2022-10-11 |
A Kernel-Based View of Language Model Fine-Tuning |
link |
Sadhika Malladi, Alexander Wettig,..., Sanjeev Arora |
| 59 |
2023-02-14 |
Revisiting Weighted Aggregation in Federated Learning with Neural Networks |
link |
Zexi Li, Tao Lin,..., Chao Wu |
| 59 |
2023-02-03 |
Better Training of GFlowNets with Local Credit and Incomplete
Trajectories |
link |
Ling Pan, Nikolay Malkin,..., Yoshua Bengio |
| 58 |
2023-05-13 |
DRew: Dynamically Rewired Message Passing with Delay |
link |
Benjamin Gutteridge, Xiaowen Dong,..., Francesco Di Giovanni |
| 58 |
2023-04-25 |
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in
Offline Reinforcement Learning |
link |
Cheng Lu, Huayu Chen,..., Jun Zhu |
| 58 |
2023-05-01 |
CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations |
link |
Gengchen Mai, Ni Lao,..., Stefano Ermon |
| 57 |
2023-04-18 |
Hyperbolic Image-text Representations |
link |
Karan Desai, Maximilian Nickel,..., Shanmukha Ramakrishna Vedantam |
| 56 |
2022-10-11 |
SGD with Large Step Sizes Learns Sparse Features |
link |
Maksym Andriushchenko, Aditya Vardhan Varre,..., Nicolas Flammarion |
| 56 |
2021-05-29 |
Diffusion Based Representation Learning |
link |
Sarthak Mittal, Korbinian Abstreiter,..., Arash Mehrjou |
| 56 |
2023-02-08 |
DoG is SGD's Best Friend: A Parameter-Free Dynamic Step
Size Schedule |
link |
Maor Ivgi, Oliver Hinder, Yair Carmon |
| 56 |
2023-05-01 |
Discover and Cure: Concept-aware Mitigation of Spurious Correlation |
link |
Shirley Wu, Mert Yuksekgonul,..., James Zou |
| 55 |
2023-02-05 |
Multi-View Masked World Models for Visual Robotic Manipulation |
link |
Younggyo Seo, Junsu Kim,..., Pieter Abbeel |
| 55 |
2023-02-14 |
A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph
Weisfeiler-Lehman Tests |
link |
Bohang Zhang, Guhao Feng,..., Liwei Wang |
| 55 |
2023-06-03 |
Provable Dynamic Fusion for Low-Quality Multimodal Data |
link |
Qingyang Zhang, Haitao Wu,..., Xi Peng |
| 54 |
2023-04-28 |
FAENet: Frame Averaging Equivariant GNN for Materials Modeling |
link |
Alexandre AGM Duval, Victor Schmidt,..., David Rolnick |
| 54 |
2023-02-14 |
A Modern Look at the Relationship between Sharpness and
Generalization |
link |
Maksym Andriushchenko, Francesco Croce,..., Nicolas Flammarion |
| 54 |
2023-04-25 |
CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis |
link |
Chaejeong Lee, Jayoung Kim, Noseong Park |
| 54 |
None |
DDGR: Continual Learning with Deep Diffusion-based Generative Replay |
link |
Rui Gao, Weiwei Liu |
| 54 |
2023-05-28 |
Dink-Net: Neural Clustering on Large Graphs |
link |
Yue Liu, KE LIANG,..., Stan Z. Li |
| 53 |
2023-06-19 |
Simple and Fast Group Robustness by Automatic Feature Reweighting |
link |
Shikai Qiu, Andres Potapczynski,..., Andrew Gordon Wilson |
| 53 |
2023-01-27 |
Minimizing Trajectory Curvature of ODE-based Generative Models |
link |
Sangyun Lee, Beomsu Kim, Jong Chul Ye |
| 53 |
2022-12-12 |
Nearly Minimax Optimal Reinforcement Learning for Linear Markov
Decision Processes |
link |
Jiafan He, Heyang Zhao,..., Quanquan Gu |
| 53 |
2023-01-25 |
Tighter Bounds on the Expressivity of Transformer Encoders |
link |
David Chiang, Peter Cholak, Anand Pillay |
| 53 |
2023-05-30 |
How Does Information Bottleneck Help Deep Learning? |
link |
Kenji Kawaguchi, Zhun Deng,..., Jiaoyang Huang |
| 53 |
2023-01-31 |
Optimizing DDPM Sampling with Shortcut Fine-Tuning |
link |
Ying Fan, Kangwook Lee |
| 52 |
2023-02-13 |
Simple Hardware-Efficient Long Convolutions for Sequence Modeling |
link |
Daniel Y Fu, Elliot L Epstein,..., Christopher Re |
| 52 |
2022-09-30 |
Differentially Private Optimization on Large Model at Small Cost |
link |
Zhiqi Bu, Yu-Xiang Wang,..., George Karypis |
| 51 |
None |
Fast Federated Machine Unlearning with Nonlinear Functional Theory |
link |
Tianshi Che, Yang Zhou,..., Jun Huan |
| 51 |
2023-06-12 |
Diffusion Models for Black-Box Optimization |
link |
Siddarth Krishnamoorthy, Satvik Mehul Mashkaria, Aditya Grover |
| 51 |
2023-02-10 |
On Penalty-based Bilevel Gradient Descent Method |
link |
Han Shen, Tianyi Chen |
| 51 |
2023-01-27 |
On the Connection Between MPNN and Graph Transformer |
link |
Chen Cai, Truong Son Hy,..., Yusu Wang |
| 51 |
2023-02-08 |
Improving the Model Consistency of Decentralized Federated Learning |
link |
Yifan Shi, Li Shen,..., Dacheng Tao |
| 51 |
2022-06-21 |
Personalized Subgraph Federated Learning |
link |
Jinheon Baek, Wonyong Jeong,..., Sung Ju Hwang |
| 50 |
2023-04-10 |
Reflected Diffusion Models |
link |
Aaron Lou, Stefano Ermon |
| 49 |
2023-05-11 |
Towards Understanding and Improving GFlowNet Training |
link |
Max W Shen, Emmanuel Bengio,..., Tommaso Biancalani |
| 49 |
None |
Personalized Federated Learning with Inferred Collaboration Graphs |
link |
Rui Ye, Zhenyang Ni,..., Yanfeng Wang |
| 48 |
2023-05-18 |
Dirichlet Diffusion Score Model for Biological Sequence Generation |
link |
Pavel Avdeyev, Chenlai Shi,..., Jian Zhou |
| 48 |
2023-05-20 |
Lifelong Language Pretraining with Distribution-Specialized Experts |
link |
Wuyang Chen, Yanqi Zhou,..., Claire Cui |
| 48 |
2023-05-02 |
Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees |
link |
Anastasia Koloskova, Hadrien Hendrikx, Sebastian U Stich |
| 48 |
2022-09-29 |
Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning
in Unknown Stochastic Environments |
link |
Yixuan Wang, Simon Sinong Zhan,..., Qi Zhu |
| 48 |
2022-05-27 |
Architecture-Agnostic Masked Image Modeling -- From ViT back to
CNN |
link |
Siyuan Li, Di Wu,..., Stan Z. Li |
| 48 |
2023-05-15 |
Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in
Vector Quantized Networks |
link |
Minyoung Huh, Brian Cheung,..., Phillip Isola |
| 48 |
2023-02-01 |
End-to-End Full-Atom Antibody Design |
link |
Xiangzhe Kong, Wenbing Huang, Yang Liu |
| 48 |
2023-05-03 |
CLUSTSEG: Clustering for Universal Segmentation |
link |
James Chenhao Liang, Tianfei Zhou,..., Wenguan Wang |
| 48 |
2023-01-28 |
A Closer Look at Few-shot Classification Again |
link |
Xu Luo, Hao Wu,..., Jingkuan Song |
| 47 |
2023-02-09 |
Bag of Tricks for Training Data Extraction from Language
Models |
link |
Weichen Yu, Tianyu Pang,..., Shuicheng YAN |
| 47 |
2023-06-08 |
Multi-Modal Classifiers for Open-Vocabulary Object Detection |
link |
Prannay Kaul, Weidi Xie, Andrew Zisserman |
| 47 |
2023-02-15 |
Improved Online Conformal Prediction via Strongly Adaptive Online Learning |
link |
Aadyot Bhatnagar, Huan Wang,..., Yu Bai |
| 47 |
2023-05-04 |
Efficient Personalized Federated Learning via Sparse Model-Adaptation |
link |
Daoyuan Chen, Liuyi Yao,..., Yaliang Li |
| 46 |
2023-07-18 |
Can Neural Network Memorization Be Localized? |
link |
Pratyush Maini, Michael Curtis Mozer,..., Chiyuan Zhang |
| 46 |
2022-11-06 |
Tuning Language Models as Training Data Generators for Augmentation-Enhanced
Few-Shot Learning |
link |
Yu Meng, Martin Michalski,..., Jiawei Han |
| 46 |
2022-03-14 |
Invariance in Policy Optimisation and Partial Identifiability in Reward
Learning |
link |
Joar Max Viktor Skalse, Matthew Farrugia-Roberts,..., Adam Gleave |
| 46 |
2023-06-08 |
Non-autoregressive Conditional Diffusion Models for Time Series Prediction |
link |
Lifeng Shen, James Kwok |
| 46 |
2023-05-06 |
Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling |
link |
Xiaohui Chen, Jiaxing He,..., Liping Liu |
| 45 |
2022-07-05 |
Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release
(R3) Sampling |
link |
Arka Daw, Jie Bu,..., Anuj Karpatne |
| 45 |
2022-09-30 |
Data Poisoning Attacks Against Multimodal Encoders |
link |
Ziqing Yang, Xinlei He,..., Yang Zhang |
| 45 |
2023-01-26 |
Improving Statistical Fidelity for Neural Image Compression with Implicit
Local Likelihood Models |
link |
Matthew J. Muckley, Alaaeldin El-Nouby,..., Jakob Verbeek |
| 45 |
2023-06-15 |
Feed Two Birds with One Scone: Exploiting Wild Data
for Both Out-of-Distribution Generalization and Detection |
link |
Haoyue Bai, Gregory Canal,..., Yixuan Li |
| 45 |
2022-11-15 |
Mechanistic Mode Connectivity |
link |
Ekdeep Singh Lubana, Eric J Bigelow,..., Hidenori Tanaka |
| 44 |
None |
Feature learning in deep classifiers through Intermediate Neural Collapse |
link |
Akshay Rangamani, Marius Lindegaard,..., tomaso a poggio |
| 44 |
2023-01-26 |
GeCoNeRF: Few-shot Neural Radiance Fields via Geometric Consistency |
link |
Min-Seop Kwak, Jiuhn Song, Seungryong Kim |
| 44 |
2022-12-19 |
PromptBoosting: Black-Box Text Classification with Ten Forward Passes |
link |
Bairu Hou, Joe O'Connor,..., Yang Zhang |
| 44 |
2023-05-31 |
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems |
link |
Jianan Zhou, Yaoxin Wu,..., Jie Zhang |
| 43 |
2023-02-10 |
The Wisdom of Hindsight Makes Language Models Better Instruction
Followers |
link |
Tianjun Zhang, Fangchen Liu,..., Joseph E. Gonzalez |
| 43 |
2023-05-11 |
MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule
Diffusion Generation |
link |
Xingang Peng, Jiaqi Guan,..., Jianzhu Ma |
| 43 |
2022-02-04 |
Identifiability of Label Noise Transition Matrix |
link |
Yang Liu, Hao Cheng, Kun Zhang |
| 43 |
2023-02-10 |
Controllability-Aware Unsupervised Skill Discovery |
link |
Seohong Park, Kimin Lee,..., Pieter Abbeel |
| 43 |
2023-06-08 |
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive
Graph Classification |
link |
Nan Yin, Li Shen,..., Xiao Luo |
| 42 |
2023-05-31 |
MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL |
link |
Fei Ni, Jianye HAO,..., Zhixuan Liang |
| 42 |
2022-10-07 |
TAN Without a Burn: Scaling Laws of DP-SGD |
link |
Tom Sander, Pierre Stock, Alexandre Sablayrolles |
| 42 |
2023-04-25 |
AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation |
link |
YiFan Zhang, xue wang,..., Tieniu Tan |
| 42 |
None |
Hierarchical Diffusion for Offline Decision Making |
link |
Wenhao Li, Xiangfeng Wang,..., Hongyuan Zha |
| 42 |
2022-09-30 |
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning
via Class-Imbalance Reduction |
link |
Jianyi Zhang, Ang Li,..., Hai Li |
| 41 |
2023-06-06 |
On the Role of Attention in Prompt-tuning |
link |
Samet Oymak, Ankit Singh Rawat,..., Christos Thrampoulidis |
| 41 |
2022-10-13 |
Action Matching: Learning Stochastic Dynamics from Samples |
link |
Kirill Neklyudov, Rob Brekelmans,..., Alireza Makhzani |
| 41 |
None |
IRNeXt: Rethinking Convolutional Network Design for Image Restoration |
link |
Yuning Cui, Wenqi Ren,..., Alois Knoll |
| 41 |
2022-10-11 |
Linkless Link Prediction via Relational Distillation |
link |
Zhichun Guo, William Shiao,..., Tong Zhao |
| 41 |
2023-02-13 |
Dataset Distillation with Convexified Implicit Gradients |
link |
Noel Loo, Ramin Hasani,..., Daniela Rus |
| 41 |
2023-05-24 |
Reconstructive Neuron Pruning for Backdoor Defense |
link |
Yige Li, Xixiang Lyu,..., Yu-Gang Jiang |
| 41 |
2022-05-28 |
A Closer Look at Self-Supervised Lightweight Vision Transformers |
link |
Shaoru Wang, Jin Gao,..., Weiming Hu |
| 41 |
2023-06-26 |
ChiPFormer: Transferable Chip Placement via Offline Decision Transformer |
link |
Yao Lai, Jinxin Liu,..., Ping Luo |
| 41 |
2022-11-21 |
Neural networks trained with SGD learn distributions of increasing
complexity |
link |
Maria Refinetti, Alessandro Ingrosso, Sebastian Goldt |
| 40 |
2023-06-14 |
InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models |
link |
Yingheng Wang, Yair Schiff,..., Volodymyr Kuleshov |
| 40 |
2023-05-10 |
Text-To-Concept (and Back) via Cross-Model Alignment |
link |
Mazda Moayeri, Keivan Rezaei,..., Soheil Feizi |
| 40 |
2022-10-17 |
Forget Unlearning: Towards True Data-Deletion in Machine Learning |
link |
Rishav Chourasia, Neil Shah |
| 40 |
2023-02-12 |
Theory on Forgetting and Generalization of Continual Learning |
link |
Sen Lin, Peizhong Ju,..., Ness Shroff |
| 40 |
2023-03-03 |
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning |
link |
Danruo DENG, Guangyong Chen,..., Pheng-Ann Heng |
| 40 |
2023-02-09 |
An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning |
link |
Jaesik Yoon, Yi-Fu Wu,..., Sungjin Ahn |
| 40 |
2023-02-16 |
Tuning Computer Vision Models With Task Rewards |
link |
André Susano Pinto, Alexander Kolesnikov,..., Xiaohua Zhai |
| 40 |
2023-06-30 |
Hierarchical Neural Coding for Controllable CAD Model Generation |
link |
Xiang Xu, Pradeep Kumar Jayaraman,..., Yasutaka Furukawa |
| 40 |
2022-03-10 |
Fully-Adaptive Composition in Differential Privacy |
link |
Justin Whitehouse, Aaditya Ramdas,..., Steven Wu |
| 39 |
2023-06-06 |
On Pitfalls of Test-Time Adaptation |
link |
Hao Zhao, Yuejiang Liu,..., Tao Lin |
| 39 |
2022-12-07 |
X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using CLIP
and StableDiffusion |
link |
Hanqing Zhao, Dianmo Sheng,..., Nenghai Yu |
| 39 |
2023-05-01 |
Personalized Federated Learning under Mixture of Distributions |
link |
Yue Wu, SHUAICHENG ZHANG,..., Wei Cheng |
| 38 |
2023-05-04 |
Masked Trajectory Models for Prediction, Representation, and Control |
link |
Philipp Wu, Arjun Majumdar,..., Aravind Rajeswaran |
| 38 |
2023-05-31 |
InGram: Inductive Knowledge Graph Embedding via Relation Graphs |
link |
Jaejun Lee, Chanyoung Chung, Joyce Jiyoung Whang |
| 38 |
2023-01-31 |
UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers |
link |
Dachuan Shi, Chaofan Tao,..., Jiaqi Wang |
| 38 |
2022-11-28 |
Topologically Faithful Image Segmentation via Induced Matching of Persistence
Barcodes |
link |
Nico Daniel Stucki, Johannes C. Paetzold,..., Ulrich Bauer |
| 38 |
2023-04-27 |
Interpretable Neural-Symbolic Concept Reasoning |
link |
Pietro Barbiero, Gabriele Ciravegna,..., Giuseppe Marra |
| 38 |
2023-05-02 |
On Uni-Modal Feature Learning in Supervised Multi-Modal Learning |
link |
Chenzhuang Du, Jiaye Teng,..., Hang Zhao |
| 38 |
2023-02-01 |
Open-VCLIP: Transforming CLIP to an Open-vocabulary Video Model via
Interpolated Weight Optimization |
link |
Zejia Weng, Xitong Yang,..., Yu-Gang Jiang |
| 38 |
2023-06-08 |
Improving Visual Prompt Tuning for Self-supervised Vision Transformers |
link |
Seungryong Yoo, Eunji Kim,..., Sungroh Yoon |
| 38 |
2023-02-13 |
GFlowNet-EM for Learning Compositional Latent Variable Models |
link |
Edward J Hu, Nikolay Malkin,..., Yoshua Bengio |
| 37 |
2023-02-20 |
Unsupervised Out-of-Distribution Detection with Diffusion Inpainting |
link |
Zhenzhen Liu, Jin Peng Zhou,..., Kilian Q Weinberger |
| 37 |
2023-02-28 |
High Probability Convergence of Stochastic Gradient Methods |
link |
Zijian Liu, Ta Duy Nguyen,..., Huy Nguyen |
| 37 |
2023-06-15 |
OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models |
link |
Enshu Liu, Xuefei Ning,..., Yu Wang |
| 37 |
2023-02-05 |
KDEformer: Accelerating Transformers via Kernel Density Estimation |
link |
Amir Zandieh, Insu Han,..., Amin Karbasi |
| 37 |
None |
Propensity Matters: Measuring and Enhancing Balancing for Recommendation |
link |
Haoxuan Li, Yanghao Xiao,..., Peng Cui |
| 37 |
2023-02-03 |
Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate
Policies |
link |
Ilyas Fatkhullin, Anas Barakat,..., Niao He |
| 37 |
None |
VIMA: Robot Manipulation with Multimodal Prompts |
link |
Yunfan Jiang, Agrim Gupta,..., Linxi Fan |
| 37 |
2022-11-09 |
Leveraging Offline Data in Online Reinforcement Learning |
link |
Andrew Wagenmaker, Aldo Pacchiano |
| 37 |
2023-03-06 |
Enhancing Activity Prediction Models in Drug Discovery with the
Ability to Understand Human Language |
link |
Philipp Seidl, Andreu Vall,..., Günter Klambauer |
| 37 |
2022-06-08 |
Neural Diffusion Processes |
link |
Vincent Dutordoir, Alan Saul,..., Fergus Simpson |
| 37 |
2023-01-30 |
Solving High-Dimensional PDEs with Latent Spectral Models |
link |
Haixu Wu, Tengge Hu,..., Mingsheng Long |
| 36 |
2022-06-10 |
Bayesian Estimation of Differential Privacy |
link |
Santiago Zanella-Beguelin, Lukas Wutschitz,..., Daniel Jones |
| 36 |
2023-04-08 |
Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning |
link |
Yu Yang, Besmira Nushi,..., Baharan Mirzasoleiman |
| 36 |
2023-06-05 |
Spatial Implicit Neural Representations for Global-Scale Species Mapping |
link |
Elijah Cole, Grant Van Horn,..., Oisin Mac Aodha |
| 36 |
2023-06-27 |
High Fidelity Image Counterfactuals with Probabilistic Causal Models |
link |
Fabio De Sousa Ribeiro, Tian Xia,..., Ben Glocker |
| 36 |
2023-02-02 |
High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the
Case of Unbounded Variance |
link |
Abdurakhmon Sadiev, Marina Danilova,..., Peter Richtárik |
| 36 |
None |
GOAT: A Global Transformer on Large-scale Graphs |
link |
Kezhi Kong, Jiuhai Chen,..., Tom Goldstein |
| 36 |
2023-03-02 |
Dropout Reduces Underfitting |
link |
Zhuang Liu, Zhiqiu Xu,..., Trevor Darrell |
| 36 |
None |
HOPE: High-order Graph ODE For Modeling Interacting Dynamics |
link |
Xiao Luo, Jingyang Yuan,..., Yizhou Sun |
| 36 |
2023-02-19 |
Why Is Public Pretraining Necessary for Private Model Training? |
link |
Arun Ganesh, Mahdi Haghifam,..., Lun Wang |
| 36 |
2022-11-29 |
On the Power of Foundation Models |
link |
Yang Yuan |
| 36 |
2023-01-26 |
BiBench: Benchmarking and Analyzing Network Binarization |
link |
Haotong Qin, Mingyuan Zhang,..., Xianglong Liu |
| 35 |
2023-04-16 |
Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data
Value |
link |
Yongchan Kwon, James Zou |
| 35 |
2023-03-26 |
Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning |
link |
Nader Asadi, MohammadReza Davari,..., Eugene Belilovsky |
| 35 |
2023-01-26 |
Neural Inverse Operators for Solving PDE Inverse Problems |
link |
Roberto Molinaro, Yunan Yang,..., Siddhartha Mishra |
| 35 |
2022-09-28 |
Causal Proxy Models for Concept-based Model Explanations |
link |
Zhengxuan Wu, Karel D'Oosterlinck,..., Christopher Potts |
| 35 |
2023-01-31 |
Transformers Meet Directed Graphs |
link |
Simon Geisler, Yujia Li,..., Cosmin Paduraru |
| 35 |
2023-05-03 |
Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering |
link |
Erlin Pan, zhao kang |
| 34 |
2023-01-31 |
Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression |
link |
Zhuoran Liu, Zhengyu Zhao, Martha Larson |
| 34 |
2023-06-02 |
Hyperparameters in Reinforcement Learning and How To Tune Them |
link |
Theresa Eimer, Marius Lindauer, Roberta Raileanu |
| 34 |
None |
CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks |
link |
Jue WANG, Yucheng Lu,..., Ce Zhang |
| 34 |
2023-06-07 |
Effective Neural Topic Modeling with Embedding Clustering Regularization |
link |
Xiaobao Wu, Xinshuai Dong,..., Anh Tuan Luu |
| 34 |
2023-03-26 |
Inverse Reinforcement Learning without Reinforcement Learning |
link |
Gokul Swamy, David Wu,..., Steven Wu |
| 34 |
2022-12-24 |
Deep Latent State Space Models for Time-Series Generation |
link |
Linqi Zhou, Michael Poli,..., Stefano Ermon |
| 34 |
2023-02-02 |
The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing |
link |
Xingyu Xu, Yandi Shen,..., Cong Ma |
| 34 |
2023-01-27 |
Understanding Incremental Learning of Gradient Descent: A Fine-grained Analysis
of Matrix Sensing |
link |
Jikai Jin, Zhiyuan Li,..., Jason D. Lee |
| 34 |
2023-05-22 |
Learning Subpocket Prototypes for Generalizable Structure-based Drug Design |
link |
ZAIXI ZHANG, Qi Liu |
| 34 |
2023-05-27 |
PFNs4BO: In-Context Learning for Bayesian Optimization |
link |
Samuel Müller, Matthias Feurer,..., Frank Hutter |
| 34 |
2023-02-04 |
Oscillation-free Quantization for Low-bit Vision Transformers |
link |
Shih-yang Liu, Zechun Liu, Kwang-Ting Cheng |
| 33 |
2023-06-02 |
Towards Sustainable Learning: Coresets for Data-efficient Deep Learning |
link |
Yu Yang, Kang Hao, Baharan Mirzasoleiman |
| 33 |
2023-05-19 |
Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees |
link |
Faisal Hamman, Erfaun Noorani,..., Sanghamitra Dutta |
| 33 |
2023-06-05 |
Structural Re-weighting Improves Graph Domain Adaptation |
link |
Shikun Liu, Tianchun Li,..., Pan Li |
| 33 |
2023-02-13 |
Geometric Clifford Algebra Networks |
link |
David Ruhe, Jayesh K Gupta,..., Johannes Brandstetter |
| 33 |
2023-06-01 |
FlexRound: Learnable Rounding based on Element-wise Division for Post-Training
Quantization |
link |
Jung Hyun Lee, Jeonghoon Kim,..., Dongsoo Lee |
| 33 |
2023-06-26 |
Parameter-Level Soft-Masking for Continual Learning |
link |
Tatsuya Konishi, Mori Kurokawa,..., Bing Liu |
| 33 |
2022-09-30 |
Implicit Neural Spatial Representations for Time-dependent PDEs |
link |
Honglin Chen, Rundi Wu,..., Peter Yichen Chen |
| 33 |
2023-06-13 |
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and
Heterophily-prone Graphs |
link |
YIZHEN ZHENG, He Zhang,..., Shirui Pan |
| 33 |
2023-06-12 |
Efficient Approximations of Complete Interatomic Potentials for Crystal Property
Prediction |
link |
Yuchao Lin, Keqiang Yan,..., Shuiwang Ji |
| 32 |
2022-11-04 |
Modeling Temporal Data as Continuous Functions with Stochastic Process
Diffusion |
link |
Marin Biloš, Kashif Rasul,..., Stephan Günnemann |
| 32 |
2023-02-07 |
Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex Conversion |
link |
Ashok Cutkosky, Harsh Mehta, Francesco Orabona |
| 32 |
2023-02-09 |
Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames |
link |
Ondrej Biza, Sjoerd van Steenkiste,..., Thomas Kipf |
| 32 |
2023-02-13 |
A Simple Zero-shot Prompt Weighting Technique to Improve Prompt
Ensembling in Text-Image Models |
link |
James Urquhart Allingham, Jie Ren,..., Balaji Lakshminarayanan |
| 32 |
None |
Conformal Prediction Sets for Graph Neural Networks |
link |
Soroush H. Zargarbashi, Simone Antonelli, Aleksandar Bojchevski |
| 32 |
2023-02-14 |
Self-supervised learning of Split Invariant Equivariant representations |
link |
Quentin Garrido, Laurent Najman, Yann LeCun |
| 32 |
2022-11-26 |
Synergies between Disentanglement and Sparsity: Generalization and Identifiability in
Multi-Task Learning |
link |
Sebastien Lachapelle, Tristan Deleu,..., Quentin Bertrand |
| 32 |
2022-12-07 |
Sequential Predictive Conformal Inference for Time Series |
link |
Chen Xu, Yao Xie |
| 32 |
None |
Shape-Guided Dual-Memory Learning for 3D Anomaly Detection |
link |
Yu-Min Chu, Liu Chieh,..., Tyng-Luh Liu |
| 32 |
2022-10-13 |
On the Identifiability and Estimation of Causal Location-Scale Noise
Models |
link |
Alexander Immer, Christoph Schultheiss,..., Alexander Marx |
| 32 |
None |
Model-Bellman Inconsistency for Model-based Offline Reinforcement Learning |
link |
Yihao Sun, Jiaji Zhang,..., Yang Yu |
| 31 |
None |
QASA: Advanced Question Answering on Scientific Articles |
link |
Yoonjoo Lee, Kyungjae Lee,..., Moontae Lee |
| 31 |
None |
Adaptive Smoothing Gradient Learning for Spiking Neural Networks |
link |
Ziming Wang, Runhao Jiang,..., Huajin Tang |
| 31 |
2023-01-27 |
SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient |
link |
Max Ryabinin, Tim Dettmers,..., Alexander Borzunov |
| 31 |
2023-02-06 |
RLSbench: Domain Adaptation Under Relaxed Label Shift |
link |
Saurabh Garg, Nick Erickson,..., Zachary Chase Lipton |
| 31 |
2022-10-15 |
Deep Regression Unlearning |
link |
Ayush Kumar Tarun, Vikram Singh Chundawat,..., Mohan Kankanhalli |
| 31 |
2023-05-25 |
Beyond Reward: Offline Preference-guided Policy Optimization |
link |
Yachen Kang, Diyuan Shi,..., Donglin Wang |
| 31 |
2023-04-03 |
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning |
link |
Tongzhou Wang, Antonio Torralba,..., Amy Zhang |
| 31 |
2023-02-06 |
The SSL Interplay: Augmentations, Inductive Bias, and Generalization |
link |
Vivien Cabannes, Bobak Kiani,..., Alberto Bietti |
| 31 |
2022-12-19 |
Answering Complex Logical Queries on Knowledge Graphs via Query
Computation Tree Optimization |
link |
Yushi Bai, Xin Lv,..., Lei Hou |
| 30 |
2023-02-06 |
Sampling-Based Accuracy Testing of Posterior Estimators for General Inference |
link |
Pablo Lemos, Adam Coogan,..., Laurence Perreault-Levasseur |
| 30 |
2023-05-25 |
Fascinating Supervisory Signals and Where to Find Them: Deep
Anomaly Detection with Scale Learning |
link |
Hongzuo Xu, Yijie Wang,..., Ning Liu |
| 30 |
2023-05-28 |
A Group Symmetric Stochastic Differential Equation Model for Molecule
Multi-modal Pretraining |
link |
Shengchao Liu, weitao Du,..., Jian Tang |
| 30 |
2022-01-28 |
Improving Expert Predictions with Conformal Prediction |
link |
Eleni Straitouri, Lequn Wang,..., Manuel Gomez Rodriguez |
| 30 |
2022-11-22 |
HyperTuning: Toward Adapting Large Language Models without Back-propagation |
link |
Jason Phang, Yi Mao,..., Weizhu Chen |
| 30 |
2023-06-04 |
Towards Deep Attention in Graph Neural Networks: Problems and
Remedies |
link |
Soo Yong Lee, Fanchen Bu,..., Kijung Shin |
| 30 |
2023-02-28 |
A Closer Look at the Intervention Procedure of Concept
Bottleneck Models |
link |
Sungbin Shin, Yohan Jo,..., Namhoon Lee |
| 30 |
2023-02-05 |
Revisiting Discriminative vs. Generative Classifiers: Theory and Implications |
link |
Chenyu Zheng, Guoqiang Wu,..., Jun Zhu |
| 30 |
2023-02-25 |
Does a Neural Network Really Encode Symbolic Concepts? |
link |
Mingjie Li, Quanshi Zhang |
| 30 |
2022-11-03 |
Fair and Optimal Classification via Post-Processing |
link |
Ruicheng Xian, Lang Yin, Han Zhao |
| 29 |
2023-03-06 |
Generalized-Smooth Nonconvex Optimization is As Efficient As Smooth Nonconvex
Optimization |
link |
Ziyi Chen, Yi Zhou,..., Zhaosong Lu |
| 29 |
2022-11-03 |
Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation |
link |
Siddharth Nayak, Kenneth Choi,..., Hamsa Balakrishnan |
| 29 |
2023-02-24 |
Graph Neural Networks with Learnable and Optimal Polynomial Bases |
link |
Yuhe Guo, Zhewei Wei |
| 29 |
2023-01-27 |
PLay: Parametrically Conditioned Layout Generation using Latent Diffusion |
link |
Chin-Yi Cheng, Forrest Huang,..., Yang Li |
| 29 |
2023-02-19 |
Scaling Laws for Multilingual Neural Machine Translation |
link |
Patrick Fernandes, Behrooz Ghorbani,..., Orhan Firat |
| 29 |
2023-03-27 |
On the Stepwise Nature of Self-Supervised Learning |
link |
James B Simon, Maksis Knutins,..., Joshua Albrecht |
| 29 |
2022-06-02 |
Faster Rates of Convergence to Stationary Points in Differentially
Private Optimization |
link |
Raman Arora, Raef Bassily,..., Enayat Ullah |
| 29 |
2022-09-12 |
Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning
Using Independent Component Analysis |
link |
Sanjay Kariyappa, Chuan Guo,..., Hsien-Hsin S. Lee |
| 29 |
2022-12-08 |
Mitigating Memorization of Noisy Labels by Clipping the Model
Prediction |
link |
Hongxin Wei, HUIPING ZHUANG,..., Yixuan Li |
| 29 |
2022-12-12 |
Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits
and Markov Decision Processes |
link |
Chenlu Ye, Wei Xiong,..., Tong Zhang |
| 28 |
2023-07-19 |
Rethinking Backdoor Attacks |
link |
Alaa Khaddaj, Guillaume Leclerc,..., Aleksander Madry |
| 28 |
2022-10-05 |
Reprogramming Pretrained Language Models for Antibody Sequence Infilling |
link |
Igor Melnyk, Vijil Chenthamarakshan,..., Devleena Das |
| 28 |
2023-07-01 |
Actor-Critic Alignment for Offline-to-Online Reinforcement Learning |
link |
Zishun Yu, Xinhua Zhang |
| 28 |
2023-02-03 |
Measuring the Impact of Programming Language Distribution |
link |
Gabriel Orlanski, Kefan Xiao,..., Michele Catasta |
| 28 |
2023-06-09 |
Group Equivariant Fourier Neural Operators for Partial Differential Equations |
link |
Jacob Helwig, Xuan Zhang,..., Shuiwang Ji |
| 28 |
2023-05-16 |
Synthetic Data, Real Errors: How (Not) to Publish and
Use Synthetic Data |
link |
Boris van Breugel, Zhaozhi Qian, Mihaela van der Schaar |
| 28 |
2023-02-01 |
Deterministic equivalent and error universality of deep random features
learning |
link |
Dominik Schröder, Hugo Cui,..., Bruno Loureiro |
| 28 |
2022-10-09 |
FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying
Score Fokker-Planck Equation |
link |
Chieh-Hsin Lai, Yuhta Takida,..., Stefano Ermon |
| 28 |
2023-01-01 |
Neural Collapse in Deep Linear Networks: From Balanced to
Imbalanced Data |
link |
Hien Dang, Tho Tran Huu,..., Tan Minh Nguyen |
| 28 |
2023-04-26 |
FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split
Models |
link |
Songze Li, Duanyi YAO, Jin Liu |
| 28 |
2023-02-07 |
How to Trust Your Diffusion Model: A Convex Optimization
Approach to Conformal Risk Control |
link |
Jacopo Teneggi, Matthew Tivnan,..., Jeremias Sulam |
| 28 |
2023-04-29 |
POUF: Prompt-Oriented Unsupervised Fine-tuning for Large Pre-trained Models |
link |
Korawat Tanwisuth, Shujian Zhang,..., Mingyuan Zhou |
| 28 |
2023-02-28 |
Stochastic Gradient Descent under Markovian Sampling Schemes |
link |
Mathieu Even |
| 28 |
2022-12-06 |
Understanding Self-Predictive Learning for Reinforcement Learning |
link |
Yunhao Tang, Zhaohan Daniel Guo,..., Michal Valko |
| 28 |
2022-10-15 |
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth
Channel and Vulnerability |
link |
Zhao Song, Yitan Wang,..., Lichen Zhang |
| 27 |
2022-06-25 |
A Fast, Well-Founded Approximation to the Empirical Neural Tangent
Kernel |
link |
Mohamad Amin Mohamadi, Wonho Bae, Danica J. Sutherland |
| 27 |
2022-10-05 |
Temporally Consistent Transformers for Video Generation |
link |
Wilson Yan, Danijar Hafner,..., Pieter Abbeel |
| 27 |
2023-02-03 |
From Robustness to Privacy and Back |
link |
Hilal Asi, Jonathan Ullman, Lydia Zakynthinou |
| 27 |
2023-02-06 |
On the Convergence of Federated Averaging with Cyclic Client
Participation |
link |
Yae Jee Cho, Pranay Sharma,..., Tong Zhang |
| 27 |
2023-01-26 |
WL meet VC |
link |
Christopher Morris, Floris Geerts,..., Martin Grohe |
| 27 |
2022-05-26 |
FedBR: Improving Federated Learning on Heterogeneous Data via Local
Learning Bias Reduction |
link |
Yongxin Guo, Xiaoying Tang, Tao Lin |
| 27 |
2023-01-26 |
Rigid Body Flows for Sampling Molecular Crystal Structures |
link |
Jonas Köhler, Michele Invernizzi,..., Frank Noe |
| 27 |
2022-12-29 |
Policy Mirror Ascent for Efficient and Independent Learning in
Mean Field Games |
link |
Batuhan Yardim, Semih Cayci,..., Niao He |
| 26 |
2023-06-09 |
Path Neural Networks: Expressive and Accurate Graph Neural Networks |
link |
Gaspard Michel, Giannis Nikolentzos,..., Michalis Vazirgiannis |
| 26 |
2023-07-20 |
Identifying Interpretable Subspaces in Image Representations |
link |
Neha Kalibhat, Shweta Bhardwaj,..., Soheil Feizi |
| 26 |
2023-02-04 |
Counterfactual Identifiability of Bijective Causal Models |
link |
Arash Nasr-Esfahany, Mohammad Alizadeh, Devavrat Shah |
| 26 |
2023-02-09 |
The Monge Gap: A Regularizer to Learn All Transport
Maps |
link |
Théo Uscidda, marco cuturi |
| 26 |
2023-02-28 |
Fast as CHITA: Neural Network Pruning with Combinatorial Optimization |
link |
Riade Benbaki, Wenyu Chen,..., Rahul Mazumder |
| 26 |
2022-06-22 |
Generative Pretraining for Black-Box Optimization |
link |
Satvik Mehul Mashkaria, Siddarth Krishnamoorthy, Aditya Grover |
| 26 |
2023-05-06 |
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs |
link |
Kaiwen Zheng, Cheng Lu,..., Jun Zhu |
| 26 |
2023-02-13 |
Near-Optimal Cryptographic Hardness of Agnostically Learning Halfspaces and ReLU
Regression under Gaussian Marginals |
link |
Ilias Diakonikolas, Daniel Kane, Lisheng Ren |
| 26 |
2022-11-25 |
GREAD: Graph Neural Reaction-Diffusion Networks |
link |
Jeongwhan Choi, Seoyoung Hong,..., Sung-Bae Cho |
| 26 |
2022-07-13 |
Learning Deep Time-index Models for Time Series Forecasting |
link |
Gerald Woo, Chenghao Liu,..., Steven Hoi |
| 26 |
2023-07-05 |
DeSRA: Detect and Delete the Artifacts of GAN-based Real-World
Super-Resolution Models |
link |
Liangbin Xie, Xintao Wang,..., Chao Dong |
| 26 |
2022-10-10 |
Second-order regression models exhibit progressive sharpening to the edge
of stability |
link |
Atish Agarwala, Fabian Pedregosa, Jeffrey Pennington |
| 26 |
2023-02-20 |
Neural Algorithmic Reasoning with Causal Regularisation |
link |
Beatrice Bevilacqua, Kyriacos Nikiforou,..., Petar Veličković |
| 26 |
2023-05-23 |
Dual Focal Loss for Calibration |
link |
Linwei Tao, Minjing Dong, Chang Xu |
| 26 |
2022-11-22 |
ModelDiff: A Framework for Comparing Learning Algorithms |
link |
Harshay Shah, Sung Min Park,..., Aleksander Madry |
| 26 |
2023-04-29 |
The Ideal Continual Learner: An Agent That Never Forgets |
link |
Liangzu Peng, Paris Giampouras, Rene Vidal |
| 25 |
2023-02-22 |
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search |
link |
Pierre-Alexandre Kamienny, Guillaume Lample,..., Marco Virgolin |
| 25 |
2023-03-08 |
Ewald-based Long-Range Message Passing for Molecular Graphs |
link |
Arthur Kosmala, Johannes Gasteiger,..., Stephan Günnemann |
| 25 |
2023-02-06 |
In Search of Insights, Not Magic Bullets: Towards Demystification
of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation |
link |
Alicia Curth, Mihaela van der Schaar |
| 25 |
2022-10-18 |
Pareto Manifold Learning: Tackling multiple tasks via ensembles of
single-task models |
link |
Nikolaos Dimitriadis, Pascal Frossard, François Fleuret |
| 25 |
2023-07-20 |
Fractional Denoising for 3D Molecular Pre-training |
link |
Shikun Feng, Yuyan Ni,..., Weiying Ma |
| 25 |
2023-01-30 |
On Second-Order Scoring Rules for Epistemic Uncertainty Quantification |
link |
Viktor Bengs, Eyke Hüllermeier, Willem Waegeman |
| 25 |
2023-05-26 |
Emergent Agentic Transformer from Chain of Hindsight Experience |
link |
Hao Liu, Pieter Abbeel |
| 25 |
2022-10-23 |
Decentralized Stochastic Bilevel Optimization with Improved per-Iteration Complexity |
link |
Xuxing Chen, Minhui Huang,..., Krishna Balasubramanian |
| 25 |
2022-10-18 |
Improving Medical Predictions by Irregular Multimodal Electronic Health Records
Modeling |
link |
Xinlu Zhang, Shiyang Li,..., Linda Ruth Petzold |
| 25 |
2023-05-12 |
Provably Convergent Schrödinger Bridge with Applications to Probabilistic
Time Series Imputation |
link |
Yu Chen, Wei Deng,..., Yuriy Nevmyvaka |
| 25 |
2023-01-23 |
Modality-Agnostic Variational Compression of Implicit Neural Representations |
link |
Jonathan Richard Schwarz, Jihoon Tack,..., Jinwoo Shin |
| 25 |
None |
Trustworthy Policy Learning under the Counterfactual No-Harm Criterion |
link |
Haoxuan Li, Chunyuan Zheng,..., Peng Wu |
| 25 |
2023-05-11 |
Continual Vision-Language Representation Learning with Off-Diagonal Information |
link |
Zixuan Ni, Longhui Wei,..., Qi Tian |
| 25 |
2022-07-28 |
Regret Minimization and Convergence to Equilibria in General-sum Markov
Games |
link |
Liad Erez, Tal Lancewicki,..., Yishay Mansour |
| 25 |
2023-06-09 |
Quantifying the Knowledge in GNNs for Reliable Distillation into
MLPs |
link |
Lirong Wu, Haitao Lin,..., Stan Z. Li |
| 25 |
None |
Random Shuffle Transformer for Image Restoration |
link |
Jie Xiao, Xueyang Fu,..., Zheng-Jun Zha |
| 24 |
2023-02-27 |
Internet Explorer: Targeted Representation Learning on the Open Web |
link |
Alexander Cong Li, Ellis Langham Brown,..., Deepak Pathak |
| 24 |
2023-06-08 |
Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian |
link |
Haiyang Yu, Zhao Xu,..., Shuiwang Ji |
| 24 |
2022-09-28 |
Compositional Score Modeling for Simulation-Based Inference |
link |
Tomas Geffner, George Papamakarios, Andriy Mnih |
| 24 |
2022-11-26 |
Distribution Free Prediction Sets for Node Classification |
link |
Jase Clarkson |
| 24 |
None |
Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships |
link |
Yaming Guo, Kai Guo,..., Yi Chang |
| 24 |
2023-01-31 |
Anti-Exploration by Random Network Distillation |
link |
Alexander Nikulin, Vladislav Kurenkov,..., Sergey Kolesnikov |
| 24 |
2022-10-19 |
Towards Explaining Distribution Shifts |
link |
Sean Kulinski, David I. Inouye |
| 24 |
2023-04-25 |
Chameleon: Adapting to Peer Images for Planting Durable Backdoors
in Federated Learning |
link |
Yanbo Dai, Songze Li |
| 24 |
2022-12-20 |
Policy Gradient in Robust MDPs with Global Convergence Guarantee |
link |
Qiuhao Wang, Chin Pang Ho, Marek Petrik |
| 24 |
2023-04-20 |
B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden
Confounding |
link |
Miruna Oprescu, Jacob Dorn,..., Uri Shalit |
| 24 |
2023-01-29 |
Distilling Internet-Scale Vision-Language Models into Embodied Agents |
link |
Theodore Sumers, Kenneth Marino,..., Ishita Dasgupta |
| 24 |
2023-06-07 |
On the Generalization of Multi-modal Contrastive Learning |
link |
Qi Zhang, Yifei Wang, Yisen Wang |
| 24 |
2023-02-17 |
SGD with AdaGrad Stepsizes: Full Adaptivity with High Probability
to Unknown Parameters, Unbounded Gradients and Affine Variance |
link |
Amit Attia, Tomer Koren |
| 24 |
2023-01-07 |
Bidirectional Learning for Offline Model-based Biological Sequence Design |
link |
Can Chen, Yingxue Zhang,..., Mark Coates |
| 24 |
2023-02-07 |
Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level
Strong Convexity |
link |
Risheng Liu, Yaohua Liu,..., Jin Zhang |
| 24 |
2023-04-28 |
Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation |
link |
Wenqing Zheng, S P Sharan,..., Zhangyang Wang |
| 23 |
2023-06-10 |
Optimizing the Collaboration Structure in Cross-Silo Federated Learning |
link |
Wenxuan Bao, Haohan Wang,..., Jingrui He |
| 23 |
2023-02-03 |
Multi-channel Autobidding with Budget and ROI Constraints |
link |
Yuan Deng, Negin Golrezaei,..., Vahab Mirrokni |
| 23 |
2023-03-30 |
Neural signature kernels as infinite-width-depth-limits of controlled ResNets |
link |
Nicola Muca Cirone, Maud Lemercier, Cristopher Salvi |
| 23 |
2023-05-29 |
Trompt: Towards a Better Deep Neural Network for Tabular
Data |
link |
Kuan-Yu Chen, Ping-Han Chiang,..., Tien-Hao Chang |
| 23 |
2023-04-29 |
Conditional Graph Information Bottleneck for Molecular Relational Learning |
link |
Namkyeong Lee, Dongmin Hyun,..., Chanyoung Park |
| 23 |
None |
Featured Graph Coarsening with Similarity Guarantees |
link |
Manoj Kumar, Anurag Sharma,..., Sandeep Kumar |
| 23 |
2023-06-11 |
Policy Regularization with Dataset Constraint for Offline Reinforcement Learning |
link |
Yuhang Ran, Yi-Chen Li,..., Yang Yu |
| 23 |
2023-05-29 |
Brainformers: Trading Simplicity for Efficiency |
link |
Yanqi Zhou, Nan Du,..., Jeff Dean |
| 23 |
None |
CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models |
link |
Zhiyuan Yu, Yuhao Wu,..., Chaowei Xiao |
| 23 |
2023-03-07 |
Polynomial Time and Private Learning of Unbounded Gaussian Mixture
Models |
link |
Jamil Arbas, Hassan Ashtiani, Christopher Liaw |
| 23 |
2022-10-29 |
Perturbation Analysis of Neural Collapse |
link |
Tom Tirer, Haoxiang Huang, Jonathan Niles-Weed |
| 23 |
2022-10-20 |
Sketching Meets Differential Privacy: Fast Algorithm for Dynamic Kronecker
Projection Maintenance |
link |
Zhao Song, Xin Yang,..., Lichen Zhang |
| 23 |
2023-05-29 |
Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off in
Real-World Super-Resolution |
link |
Ruofan Zhang, Jinjin Gu,..., Wenming Yang |
| 22 |
2023-05-26 |
Future-conditioned Unsupervised Pretraining for Decision Transformer |
link |
Zhihui Xie, Zichuan Lin,..., Shuai Li |
| 22 |
2023-01-30 |
Are Random Decompositions all we need in High Dimensional
Bayesian Optimisation? |
link |
Juliusz Krzysztof Ziomek, Haitham Bou Ammar |
| 22 |
2023-05-30 |
What is Essential for Unseen Goal Generalization of Offline
Goal-conditioned RL? |
link |
Rui Yang, LIN Yong,..., Tong Zhang |
| 22 |
2023-02-01 |
Generative Adversarial Symmetry Discovery |
link |
Jianke Yang, Robin Walters,..., Rose Yu |
| 22 |
2022-07-13 |
Hindsight Learning for MDPs with Exogenous Inputs |
link |
Sean R. Sinclair, Felipe Vieira Frujeri,..., Adith Swaminathan |
| 22 |
2022-07-22 |
Discrete Key-Value Bottleneck |
link |
Frederik Träuble, Anirudh Goyal,..., Bernhard Schölkopf |
| 22 |
2023-08-07 |
Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio
Detection |
link |
XiaoHui Zhang, Jiangyan Yi,..., Chu Yuan Zhang |
| 22 |
2022-06-10 |
Meta Optimal Transport |
link |
Brandon Amos, Giulia Luise,..., Ievgen Redko |
| 22 |
2022-11-22 |
OpenFE: Automated Feature Generation with Expert-level Performance |
link |
Tianping Zhang, Zheyu Zhang,..., Jian Li |
| 22 |
2023-05-14 |
Off-Policy Evaluation for Large Action Spaces via Conjunct Effect
Modeling |
link |
Yuta Saito, Qingyang Ren, Thorsten Joachims |
| 22 |
2023-04-10 |
For Pre-Trained Vision Models in Motor Control, Not All
Policy Learning Methods are Created Equal |
link |
Yingdong Hu, Renhao Wang,..., Yang Gao |
| 22 |
2022-12-17 |
Two-Scale Gradient Descent Ascent Dynamics Finds Mixed Nash Equilibria
of Continuous Games: A Mean-Field Perspective |
link |
Yulong Lu |
| 22 |
None |
Curriculum Co-disentangled Representation Learning across Multiple Environments for Social
Recommendation |
link |
Xin Wang, Zirui Pan,..., Wenwu Zhu |
| 21 |
2023-06-09 |
Hidden Symmetries of ReLU Networks |
link |
Elisenda Grigsby, Kathryn Lindsey, David Rolnick |
| 21 |
2023-06-11 |
On Kinetic Optimal Probability Paths for Generative Models |
link |
Neta Shaul, Ricky T. Q. Chen,..., Yaron Lipman |
| 21 |
2023-07-01 |
Half-Hop: A graph upsampling approach for slowing down message
passing |
link |
Mehdi Azabou, Venkataramana Ganesh,..., Eva L Dyer |
| 21 |
2023-02-23 |
Out-of-Domain Robustness via Targeted Augmentations |
link |
Irena Gao, Shiori Sagawa,..., Percy Liang |
| 21 |
2022-09-30 |
EF21-P and Friends: Improved Theoretical Communication Complexity for Distributed
Optimization with Bidirectional Compression |
link |
Kaja Gruntkowska, Alexander Tyurin, Peter Richtárik |
| 21 |
2023-02-08 |
Algorithmic Collective Action in Machine Learning |
link |
Moritz Hardt, Eric Mazumdar,..., Tijana Zrnic |
| 21 |
2023-02-09 |
On the Privacy-Robustness-Utility Trilemma in Distributed Learning |
link |
Youssef Allouah, Rachid Guerraoui,..., John Stephan |
| 21 |
2023-05-27 |
Federated Conformal Predictors for Distributed Uncertainty Quantification |
link |
Charles Lu, Yaodong Yu,..., Ramesh Raskar |
| 21 |
2023-02-09 |
Cooperative Open-ended Learning Framework for Zero-Shot Coordination |
link |
Yang Li, Shao Zhang,..., Wei Pan |
| 21 |
2023-01-07 |
Why do Nearest Neighbor Language Models Work? |
link |
Frank F. Xu, Uri Alon, Graham Neubig |
| 21 |
2023-06-11 |
Graph Mixup with Soft Alignments |
link |
Hongyi Ling, Zhimeng Jiang,..., Na Zou |
| 21 |
2022-10-06 |
Weak Proxies are Sufficient and Preferable for Fairness with
Missing Sensitive Attributes |
link |
Zhaowei Zhu, Yuanshun Yao,..., Yang Liu |
| 21 |
2023-05-30 |
A Unified Audio-Visual Learning Framework for Localization, Separation, and
Recognition |
link |
Shentong Mo, Pedro Morgado |
| 21 |
None |
Stable Estimation of Heterogeneous Treatment Effects |
link |
Anpeng Wu, Kun Kuang,..., Fei Wu |
| 20 |
2023-06-05 |
Conformal Prediction with Missing Values |
link |
Margaux Zaffran, Aymeric Dieuleveut,..., Yaniv Romano |
| 20 |
2023-06-13 |
User-defined Event Sampling and Uncertainty Quantification in Diffusion Models
for Physical Dynamical Systems |
link |
Marc Anton Finzi, Anudhyan Boral,..., Leonardo Zepeda-Nunez |
| 20 |
2023-04-10 |
Forward-Backward Gaussian Variational Inference via JKO in the Bures-Wasserstein
Space |
link |
Michael Ziyang Diao, Krishna Balasubramanian,..., Adil Salim |
| 20 |
2022-10-12 |
Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories |
link |
Qinqing Zheng, Mikael Henaff,..., Aditya Grover |
| 20 |
2023-02-02 |
Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal |
link |
Emanuele Marconato, Gianpaolo Bontempo,..., Stefano Teso |
| 20 |
2023-01-26 |
Minimax estimation of discontinuous optimal transport maps: The semi-discrete
case |
link |
Aram-Alexandre Pooladian, Vincent Divol, Jonathan Niles-Weed |
| 20 |
2023-05-18 |
Statistical Foundations of Prior-Data Fitted Networks |
link |
Thomas Nagler |
| 20 |
2022-10-24 |
GFlowOut: Dropout with Generative Flow Networks |
link |
Dianbo Liu, Moksh Jain,..., Yoshua Bengio |
| 20 |
2022-10-22 |
SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems |
link |
Aaron M Ferber, Taoan Huang,..., Yuandong Tian |
| 20 |
None |
Surrogate Module Learning: Reduce the Gradient Error Accumulation in
Training Spiking Neural Networks |
link |
Shikuang Deng, Hao Lin,..., Shi Gu |
| 20 |
2023-02-17 |
SAM operates far from home: eigenvalue regularization as a
dynamical phenomenon |
link |
Atish Agarwala, Yann Dauphin |
| 20 |
2023-03-07 |
Gradient-Free Structured Pruning with Unlabeled Data |
link |
Azade Nova, Hanjun Dai, Dale Schuurmans |
| 20 |
2023-05-29 |
UMD: Unsupervised Model Detection for X2X Backdoor Attacks |
link |
Zhen Xiang, Zidi Xiong, Bo Li |
| 20 |
2022-10-31 |
The Numerical Stability of Hyperbolic Representation Learning |
link |
Gal Mishne, Zhengchao Wan,..., Sheng Yang |
| 20 |
2022-12-14 |
Sequential Kernelized Independence Testing |
link |
Aleksandr Podkopaev, Patrick Blöbaum,..., Aaditya Ramdas |
| 20 |
2023-05-22 |
Generalized Polyak Step Size for First Order Optimization with
Momentum |
link |
Xiaoyu Wang, Mikael Johansson, Tong Zhang |
| 20 |
None |
Detecting Out-of-distribution Data through In-distribution Class Prior |
link |
Xue Jiang, Feng Liu,..., Bo Han |
| 20 |
2023-02-08 |
Generalizing Neural Wave Functions |
link |
Nicholas Gao, Stephan Günnemann |
| 20 |
2022-10-31 |
Improving Graph Neural Networks with Learnable Propagation Operators |
link |
Moshe Eliasof, Lars Ruthotto, Eran Treister |
| 20 |
2023-05-27 |
The Implicit Regularization of Dynamical Stability in Stochastic Gradient
Descent |
link |
Lei Wu, Weijie J Su |
| 20 |
2022-10-21 |
Men Also Do Laundry: Multi-Attribute Bias Amplification |
link |
Dora Zhao, Jerone Andrews, Alice Xiang |
| 20 |
2023-02-03 |
Robust Camera Pose Refinement for Multi-Resolution Hash Encoding |
link |
Hwan Heo, Taekyung Kim,..., Jin-Hwa Kim |
| 20 |
2023-02-03 |
Searching Large Neighborhoods for Integer Linear Programs with Contrastive
Learning |
link |
Taoan Huang, Aaron M Ferber,..., Benoit Steiner |
| 19 |
2023-06-15 |
Hyperbolic Representation Learning: Revisiting and Advancing |
link |
Menglin Yang, min zhou,..., Irwin King |
| 19 |
2022-10-19 |
Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement
Learning |
link |
Matthias Gerstgrasser, David C. Parkes |
| 19 |
2023-05-08 |
BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning |
link |
Kishaan Jeeveswaran, Prashant Shivaram Bhat,..., Elahe Arani |
| 19 |
2023-02-18 |
Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised
Learning Contribute the Least |
link |
Siddharth Joshi, Baharan Mirzasoleiman |
| 19 |
2023-02-13 |
In Search for a Generalizable Method for Source Free
Domain Adaptation |
link |
Malik Boudiaf, tom denton,..., Eleni Triantafillou |
| 19 |
2023-02-02 |
ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence
in Constrained MDPs |
link |
Ted Moskovitz, Brendan O'Donoghue,..., Tom Zahavy |
| 19 |
2022-10-25 |
Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity:
the Case of Negative Comonotonicity |
link |
Eduard Gorbunov, Adrien Taylor,..., Gauthier Gidel |
| 19 |
2023-02-03 |
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation |
link |
Rui Xue, Haoyu Han,..., Xiaorui Liu |
| 19 |
2023-02-20 |
Transformed Distribution Matching for Missing Value Imputation |
link |
He Zhao, Ke Sun,..., Edwin V. Bonilla |
| 19 |
2022-10-19 |
"Why did the Model Fail?": Attributing Model Performance Changes
to Distribution Shifts |
link |
Haoran Zhang, Harvineet Singh,..., Shalmali Joshi |
| 19 |
2022-10-05 |
Atari-5: Distilling the Arcade Learning Environment down to Five
Games |
link |
Matthew Aitchison, Penny Sweetser, Marcus Hutter |
| 19 |
2023-02-05 |
Run-off Election: Improved Provable Defense against Data Poisoning Attacks |
link |
Keivan Rezaei, Kiarash Banihashem,..., Soheil Feizi |
| 19 |
2022-10-05 |
Why Random Pruning Is All We Need to Start
Sparse |
link |
Advait Harshal Gadhikar, Sohom Mukherjee, Rebekka Burkholz |
| 19 |
2023-05-18 |
The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup
and Beyond |
link |
Jiin Woo, Gauri Joshi, Yuejie Chi |
| 19 |
2023-01-31 |
Learning in POMDPs is Sample-Efficient with Hindsight Observability |
link |
Jonathan Lee, Alekh Agarwal,..., Tong Zhang |
| 19 |
2022-07-25 |
Live in the Moment: Learning Dynamics Model Adapted to
Evolving Policy |
link |
Xiyao Wang, Wichayaporn Wongkamjan,..., Furong Huang |
| 19 |
2023-08-09 |
When and How Does Known Class Help Discover Unknown
Ones? Provable Understanding Through Spectral Analysis |
link |
Yiyou Sun, Zhenmei Shi,..., Yixuan Li |
| 19 |
2022-08-07 |
Federated Adversarial Learning: A Framework with Convergence Analysis |
link |
Xiaoxiao Li, Zhao Song, Jiaming Yang |
| 19 |
2022-12-13 |
Quantum Policy Gradient Algorithm with Optimized Action Decoding |
link |
Nico Meyer, Daniel D. Scherer,..., Michael J. Hartmann |
| 19 |
2023-01-27 |
Understanding Int4 Quantization for Language Models: Latency Speedup,
Composability, and Failure Cases |
link |
Xiaoxia Wu, Cheng Li,..., Yuxiong He |
| 19 |
None |
A Unified Optimization Framework of ANN-SNN Conversion: Towards Optimal
Mapping from Activation Values to Firing Rates |
link |
Haiyan Jiang, Srinivas Anumasa,..., Bin Gu |
| 19 |
2023-02-06 |
Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of
Ambiguous Inputs |
link |
Michael Kirchhof, Enkelejda Kasneci, Seong Joon Oh |
| 18 |
None |
$H$-Consistency Bounds for Pairwise Misranking Loss Surrogates |
link |
Anqi Mao, Mehryar Mohri, Yutao Zhong |
| 18 |
2023-05-05 |
Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in
3D |
link |
Bo Qiang, Yuxuan Song,..., Yanyan Lan |
| 18 |
2023-05-31 |
AbODE: Ab initio antibody design using conjoined ODEs |
link |
Yogesh Verma, Markus Heinonen, Vikas Garg |
| 18 |
2023-02-10 |
Achieving Linear Speedup in Non-IID Federated Bilevel Learning |
link |
Minhui Huang, Dewei Zhang, Kaiyi Ji |
| 18 |
2023-02-01 |
DoCoFL: Downlink Compression for Cross-Device Federated Learning |
link |
Ron Dorfman, Shay Vargaftik,..., Kfir Yehuda Levy |
| 18 |
2023-03-07 |
Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks |
link |
Yiwei Lu, Gautam Kamath, Yaoliang Yu |
| 18 |
2023-02-02 |
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective |
link |
Michael Eli Sander, Joan Puigcerver,..., Mathieu Blondel |
| 18 |
None |
QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms |
link |
Wenjie Wu, Ge Yan,..., Junchi Yan |
| 18 |
None |
LeadFL: Client Self-Defense against Model Poisoning in Federated Learning |
link |
Chaoyi Zhu, Stefanie Roos, Lydia Y. Chen |
| 18 |
2022-10-05 |
Efficient Learning of Mesh-Based Physical Simulation with Bi-Stride Multi-Scale
Graph Neural Network |
link |
Yadi Cao, Menglei Chai,..., Chenfanfu Jiang |
| 18 |
2023-03-15 |
The Benefits of Mixup for Feature Learning |
link |
Difan Zou, Yuan Cao,..., Quanquan Gu |
| 18 |
2023-06-25 |
Towards Trustworthy Explanation: On Causal Rationalization |
link |
Wenbo Zhang, TONG WU,..., Hengrui Cai |
| 18 |
2024-02-20 |
Towards Robust Graph Incremental Learning on Evolving Graphs |
link |
Junwei Su, Difan Zou,..., Chuan Wu |
| 18 |
2023-02-07 |
Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR |
link |
Kaiwen Wang, Nathan Kallus, Wen Sun |
| 18 |
2023-03-10 |
Vertical Federated Graph Neural Network for Recommender System |
link |
Peihua Mai, Yan Pang |
| 18 |
2023-01-26 |
Deep Laplacian-based Options for Temporally-Extended Exploration |
link |
Martin Klissarov, Marlos C. Machado |
| 18 |
2022-09-13 |
Normalizing Flows for Interventional Density Estimation |
link |
Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel |
| 18 |
2023-03-06 |
Graph Positional Encoding via Random Feature Propagation |
link |
Moshe Eliasof, Fabrizio Frasca,..., Haggai Maron |
| 18 |
2023-01-30 |
Adaptive Computation with Elastic Input Sequence |
link |
Fuzhao Xue, Valerii Likhosherstov,..., Yang You |
| 18 |
2023-10-03 |
Nugget: Neural Agglomerative Embeddings of Text |
link |
Guanghui Qin, Benjamin Van Durme |
| 18 |
2023-04-27 |
Moderately Distributional Exploration for Domain Generalization |
link |
Rui Dai, Yonggang Zhang,..., Xinmei Tian |
| 17 |
None |
Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach |
link |
Prashant Khanduri, Ioannis Tsaknakis,..., Mingyi Hong |
| 17 |
None |
Strategic Classification with Unknown User Manipulations |
link |
Tosca Lechner, Ruth Urner, Shai Ben-David |
| 17 |
None |
RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and
Collaborative Evolution |
link |
Pengyi Li, Jianye HAO,..., Xian Fu |
| 17 |
2023-06-09 |
Explaining Reinforcement Learning with Shapley Values |
link |
Daniel Beechey, Thomas M. S. Smith, Özgür Şimşek |
| 17 |
2022-02-01 |
Few-bit Backward: Quantized Gradients of Activation Functions for Memory
Footprint Reduction |
link |
Georgii Sergeevich Novikov, Daniel Bershatsky,..., Ivan Oseledets |
| 17 |
2023-06-01 |
Effective Structured Prompting by Meta-Learning and Representative Verbalizer |
link |
Weisen Jiang, Yu Zhang, James Kwok |
| 17 |
2023-05-30 |
Approximation and Estimation Ability of Transformers for Sequence-to-Sequence Functions
with Infinite Dimensional Input |
link |
Shokichi Takakura, Taiji Suzuki |
| 17 |
2023-02-12 |
Vector Quantized Wasserstein Auto-Encoder |
link |
Long Tung Vuong, Trung Le,..., Dinh Phung |
| 17 |
2023-04-30 |
Importance Weighted Expectation-Maximization for Protein Sequence Design |
link |
Zhenqiao Song, Lei Li |
| 17 |
2023-02-03 |
Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes |
link |
Shion Takeno, Masahiro Nomura, Masayuki Karasuyama |
| 17 |
2022-06-21 |
Beyond Uniform Lipschitz Condition in Differentially Private Optimization |
link |
Rudrajit Das, Satyen Kale,..., sujay sanghavi |
| 17 |
2023-05-19 |
Not All Semantics are Created Equal: Contrastive Self-supervised Learning
with Automatic Temperature Individualization |
link |
Zi-Hao Qiu, Quanqi Hu,..., Tianbao Yang |
| 17 |
2023-02-05 |
Improving Fair Training under Correlation Shifts |
link |
Yuji Roh, Kangwook Lee,..., Changho Suh |
| 17 |
2023-05-27 |
A Hybrid Quantum-Classical Approach based on the Hadamard Transform
for the Convolutional Layer |
link |
Hongyi Pan, Xin Zhu,..., Ahmet Cetin |
| 17 |
2023-05-03 |
LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning |
link |
Timothy Castiglia, Yi Zhou,..., Stacy Patterson |
| 17 |
2023-03-07 |
Can We Scale Transformers to Predict Parameters of Diverse
ImageNet Models? |
link |
Boris Knyazev, DOHA HWANG, Simon Lacoste-Julien |
| 17 |
2022-11-20 |
Adversarial Cheap Talk |
link |
Chris Lu, Timon Willi,..., Jakob Nicolaus Foerster |
| 17 |
2023-04-13 |
Efficient Sequence Transduction by Jointly Predicting Tokens and Durations |
link |
Hainan Xu, Fei Jia,..., Boris Ginsburg |
| 17 |
2023-03-14 |
Fast Rates for Maximum Entropy Exploration |
link |
Daniil Tiapkin, Denis Belomestny,..., Pierre MENARD |
| 17 |
2022-10-28 |
Differential Privacy has Bounded Impact on Fairness in Classification |
link |
Paul Mangold, Michaël Perrot,..., Marc Tommasi |
| 17 |
2023-06-15 |
On Strengthening and Defending Graph Reconstruction Attack with Markov
Chain Approximation |
link |
Zhanke Zhou, Chenyu Zhou,..., Bo Han |
| 17 |
2022-10-24 |
Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis
Testing: A Lesson From Fano |
link |
Chuan Guo, Alexandre Sablayrolles, Maziar Sanjabi |
| 17 |
None |
Disentangled Multiplex Graph Representation Learning |
link |
Yujie Mo, Yajie Lei,..., Xiaofeng Zhu |
| 17 |
2023-05-25 |
Detecting Adversarial Data by Probing Multiple Perturbations Using Expected
Perturbation Score |
link |
Shuhai Zhang, Feng Liu,..., Mingkui Tan |
| 17 |
2023-01-30 |
Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs |
link |
Guan-Ting Liu, En-Pei Hu,..., Shao-Hua Sun |
| 17 |
2023-06-05 |
Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for
Mitigating Scale Shift on Combinatorial Optimization |
link |
Jiwoo Son, Minsu Kim,..., Jinkyoo Park |
| 17 |
2023-06-12 |
Evolving Semantic Prototype Improves Generative Zero-Shot Learning |
link |
Shiming Chen, Wenjin Hou,..., Kun Zhang |
| 16 |
2023-06-08 |
Unconstrained Online Learning with Unbounded Losses |
link |
Andrew Jacobsen, Ashok Cutkosky |
| 16 |
2023-06-12 |
Slot-VAE: Object-Centric Scene Generation with Slot Attention |
link |
Yanbo Wang, Letao Liu, Justin Dauwels |
| 16 |
2023-03-30 |
MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from
Observations |
link |
Anqi Li, Byron Boots, Ching-An Cheng |
| 16 |
2023-05-23 |
Statistical Indistinguishability of Learning Algorithms |
link |
Alkis Kalavasis, Amin Karbasi,..., Grigoris Velegkas |
| 16 |
None |
Revisiting Sampling for Combinatorial Optimization |
link |
Haoran Sun, Katayoon Goshvadi,..., Hanjun Dai |
| 16 |
2023-06-05 |
Generating Private Synthetic Data with Genetic Algorithms |
link |
Terrance Liu, Jingwu Tang,..., Steven Wu |
| 16 |
None |
Optimal No-Regret Learning for One-Sided Lipschitz Functions |
link |
Paul Duetting, Guru Guruganesh,..., Joshua Ruizhi Wang |
| 16 |
2023-05-26 |
GLOBE-CE: A Translation Based Approach for Global Counterfactual Explanations |
link |
Dan Ley, Saumitra Mishra, Daniele Magazzeni |
| 16 |
2023-02-02 |
STEP: Learning N:M Structured Sparsity Masks from Scratch with
Precondition |
link |
Yucheng Lu, Shivani Agrawal,..., Amir Yazdanbakhsh |
| 16 |
2023-06-19 |
Learn to Accumulate Evidence from All Training Samples: Theory
and Practice |
link |
Deep Shankar Pandey, Qi Yu |
| 16 |
2023-03-02 |
Chemically Transferable Generative Backmapping of Coarse-Grained Proteins |
link |
Soojung Yang, Rafael Gomez-Bombarelli |
| 16 |
2022-07-01 |
A Theoretical Analysis of the Learning Dynamics under Class
Imbalance |
link |
Emanuele Francazi, Marco Baity-Jesi, Aurelien Lucchi |
| 16 |
2023-01-25 |
Pre-computed memory or on-the-fly encoding? A hybrid approach to
retrieval augmentation makes the most of your compute |
link |
Michiel de Jong, Yury Zemlyanskiy,..., William W. Cohen |
| 16 |
2023-05-08 |
Behavior Contrastive Learning for Unsupervised Skill Discovery |
link |
Rushuai Yang, Chenjia Bai,..., Xuelong Li |
| 16 |
2023-02-06 |
Toward Large Kernel Models |
link |
Amirhesam Abedsoltan, Mikhail Belkin, Parthe Pandit |
| 16 |
2023-06-12 |
Can Forward Gradient Match Backpropagation? |
link |
Louis Fournier, Stephane Rivaud,..., Edouard Oyallon |
| 16 |
None |
Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph
Neural Networks |
link |
He Zhang, Bang Wu,..., Xingliang YUAN |
| 16 |
2023-03-02 |
Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion |
link |
Martino Bernasconi, Matteo Castiglioni,..., Nicola Gatti |
| 16 |
2023-02-09 |
Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial
Online Convex Optimization |
link |
Sijia Chen, Wei-Wei Tu,..., Lijun Zhang |
| 16 |
2023-03-10 |
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals |
link |
Clément Bonet, Benoît Malézieux,..., Nicolas Courty |
| 16 |
2023-06-01 |
MEWL: Few-shot multimodal word learning with referential uncertainty |
link |
Guangyuan Jiang, Manjie Xu,..., Yixin Zhu |
| 16 |
2024-07-18 |
LinSATNet: The Positive Linear Satisfiability Neural Networks |
link |
Runzhong Wang, Yunhao Zhang,..., Junchi Yan |
| 16 |
None |
Lazy Agents: A New Perspective on Solving Sparse Reward
Problem in Multi-agent Reinforcement Learning |
link |
Boyin Liu, Zhiqiang Pu,..., Du Zhang |
| 15 |
2023-03-01 |
Predictive Flows for Faster Ford-Fulkerson |
link |
Sami Davies, Benjamin Moseley,..., Yuyan Wang |
| 15 |
2023-05-18 |
Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces |
link |
Javier E. Santos, Zachary R Fox,..., Yen Ting Lin |
| 15 |
2022-10-06 |
Paging with Succinct Predictions |
link |
Antonios Antoniadis, Joan Boyar,..., Bertrand Simon |
| 15 |
2023-04-28 |
NNSplitter: An Active Defense Solution for DNN Model via
Automated Weight Obfuscation |
link |
Tong Zhou, Yukui Luo,..., Xiaolin Xu |
| 15 |
2023-01-27 |
Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions |
link |
Anant Raj, Lingjiong Zhu,..., Umut Simsekli |
| 15 |
2023-06-08 |
Conformal Prediction for Federated Uncertainty Quantification Under Label Shift |
link |
Vincent Plassier, Mehdi Makni,..., Maxim Panov |
| 15 |
2023-02-08 |
Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions
with Feature-Sparse Maps |
link |
marco cuturi, Michal Klein, Pierre Ablin |
| 15 |
2023-03-05 |
Streaming Active Learning with Deep Neural Networks |
link |
Akanksha Saran, Safoora Yousefi,..., Jordan T. Ash |
| 15 |
2023-06-11 |
Approximation Algorithms for Fair Range Clustering |
link |
Sedjro Salomon Hotegni, Sepideh Mahabadi, Ali Vakilian |
| 15 |
2023-06-16 |
Semi-Offline Reinforcement Learning for Optimized Text Generation |
link |
Changyu Chen, Xiting Wang,..., Rui Yan |
| 15 |
2022-09-22 |
Robust Collaborative Learning with Linear Gradient Overhead |
link |
Sadegh Farhadkhani, Rachid Guerraoui,..., John Stephan |
| 15 |
None |
Feature Directions Matter: Long-Tailed Learning via Rotated Balanced Representation |
link |
Gao Peifeng, Qianqian Xu,..., Qingming Huang |
| 15 |
2023-02-13 |
One-Shot Federated Conformal Prediction |
link |
Pierre Humbert, Batiste Le bars,..., Sylvain Arlot |
| 15 |
2022-11-29 |
Offline Reinforcement Learning with Closed-Form Policy Improvement Operators |
link |
Jiachen Li, Edwin Zhang,..., William Yang Wang |
| 15 |
2023-02-09 |
On Sampling with Approximate Transport Maps |
link |
Louis Grenioux, Alain Durmus,..., Marylou Gabrié |
| 15 |
None |
Boosting Graph Contrastive Learning via Graph Contrastive Saliency |
link |
Chunyu Wei, Yu Wang,..., LU FANG |
| 15 |
2023-03-30 |
Contextual Combinatorial Bandits with Probabilistically Triggered Arms |
link |
Xutong Liu, Jinhang Zuo,..., Wei Chen |
| 15 |
2023-01-27 |
SNeRL: Semantic-aware Neural Radiance Fields for Reinforcement Learning |
link |
Dongseok Shim, Seungjae Lee, H. Jin Kim |
| 15 |
2023-06-05 |
Decentralized SGD and Average-direction SAM are Asymptotically Equivalent |
link |
Tongtian Zhu, Fengxiang He,..., Dacheng Tao |
| 15 |
2023-01-16 |
Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization |
link |
Lesi Chen, Jing Xu, Luo Luo |
| 15 |
2023-02-13 |
Bi-directional Masks for Efficient N:M Sparse Training |
link |
Yuxin Zhang, Yiting Luo,..., Rongrong Ji |
| 14 |
2023-08-13 |
Probabilistic Imputation for Time-series Classification with Missing Data |
link |
SeungHyun Kim, Hyunsu Kim,..., Juho Lee |
| 14 |
2023-04-20 |
Controllable Neural Symbolic Regression |
link |
Tommaso Bendinelli, Luca Biggio, Pierre-Alexandre Kamienny |
| 14 |
2022-11-10 |
When is Realizability Sufficient for Off-Policy Reinforcement Learning? |
link |
Andrea Zanette |
| 14 |
2023-05-08 |
From Relational Pooling to Subgraph GNNs: A Universal Framework
for More Expressive Graph Neural Networks |
link |
Cai Zhou, Xiyuan Wang, Muhan Zhang |
| 14 |
2023-01-28 |
Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via
Multi-Level Monte Carlo Actor-Critic |
link |
Wesley Suttle, Amrit Bedi,..., Dinesh Manocha |
| 14 |
2023-07-12 |
Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy
Adaptation |
link |
Andi Peng, Aviv Netanyahu,..., Pulkit Agrawal |
| 14 |
2023-05-11 |
E$(n)$ Equivariant Message Passing Simplicial Networks |
link |
Floor Eijkelboom, Rob Hesselink, Erik J Bekkers |
| 14 |
2022-12-13 |
On the Relationship Between Explanation and Prediction: A Causal
View |
link |
Amir-Hossein Karimi, Krikamol Muandet,..., Been Kim |
| 14 |
2023-07-24 |
Predicting Ordinary Differential Equations with Transformers |
link |
Sören Becker, Michal Klein,..., Niki Kilbertus |
| 14 |
None |
QAS-Bench: Rethinking Quantum Architecture Search and A Benchmark |
link |
Xudong Lu, Kaisen Pan,..., Junchi Yan |
| 14 |
2023-04-17 |
Attributing Image Generative Models using Latent Fingerprints |
link |
Guangyu Nie, Changhoon Kim,..., Yi Ren |
| 14 |
2022-10-03 |
spred: Solving L1 Penalty with SGD |
link |
Liu Ziyin, Zihao Wang |
| 14 |
2022-10-06 |
Understanding Gradient Regularization in Deep Learning: Efficient Finite-Difference Computation
and Implicit Bias |
link |
Ryo Karakida, Tomoumi Takase,..., Kazuki Osawa |
| 14 |
None |
Prototype-oriented unsupervised anomaly detection for multivariate time series |
link |
Yuxin Li, Wenchao Chen,..., Mingyuan Zhou |
| 14 |
2023-06-07 |
Accounting For Informative Sampling When Learning to Forecast Treatment
Outcomes Over Time |
link |
Toon Vanderschueren, Alicia Curth,..., Mihaela van der Schaar |
| 14 |
2023-02-16 |
A Neural PDE Solver with Temporal Stencil Modeling |
link |
Zhiqing Sun, Yiming Yang, Shinjae Yoo |
| 14 |
2023-05-30 |
Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning |
link |
Ya-Wei Eileen Lin, Ronald R. Coifman,..., Ronen Talmon |
| 14 |
2023-05-02 |
Long-Tailed Recognition by Mutual Information Maximization between Latent Features
and Ground-Truth Labels |
link |
Min-Kook Suh, Seung-Woo Seo |
| 14 |
2023-02-01 |
Width and Depth Limits Commute in Residual Networks |
link |
Soufiane Hayou, Greg Yang |
| 14 |
2022-12-09 |
Cyclic Block Coordinate Descent With Variance Reduction for Composite
Nonconvex Optimization |
link |
Xufeng Cai, Chaobing Song,..., Jelena Diakonikolas |
| 14 |
None |
Understanding and Generalizing Contrastive Learning from the Inverse Optimal
Transport Perspective |
link |
Liangliang Shi, Gu Zhang,..., Junchi Yan |
| 14 |
2023-01-27 |
Online Learning in Stackelberg Games with an Omniscient Follower |
link |
Geng Zhao, Banghua Zhu,..., Michael Jordan |
| 14 |
2023-11-15 |
Supported Trust Region Optimization for Offline Reinforcement Learning |
link |
Yixiu Mao, Hongchang Zhang,..., Xiangyang Ji |
| 14 |
2023-05-15 |
Motion Question Answering via Modular Motion Programs |
link |
Mark Endo, Joy Hsu,..., Jiajun Wu |
| 14 |
2022-07-12 |
Markovian Gaussian Process Variational Autoencoders |
link |
Harrison Zhu, Carles Balsells-Rodas, Yingzhen Li |
| 14 |
2022-09-15 |
Omnipredictors for Constrained Optimization |
link |
Lunjia Hu, Inbal Rachel Livni Navon,..., Chutong Yang |
| 14 |
2022-02-01 |
On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain
Adaptation |
link |
Maohao Shen, Yuheng Bu, Gregory Wornell |
| 14 |
2023-06-08 |
Scaling Spherical CNNs |
link |
Carlos Esteves, Jean-Jacques Slotine, Ameesh Makadia |
| 14 |
2023-06-01 |
An Effective Meaningful Way to Evaluate Survival Models |
link |
Shi-ang Qi, Neeraj Kumar,..., Russell Greiner |