NeurIPS

Publications

2023

Jianghui Wang, Yang Chen, Xingyu Xie, Cong Fang, Zhouchen Lin
Task-Robust Pre-Training for Worst-Case Downstream Adaptation. NeurIPS (2023)
Huizong Yang, Yuxin Sun, Ganesh Sundaramoorthi, Anthony J. Yezzi
Stabilizing the Optimization of Neural Signed Distance Functions and Finer Shape Representation. NeurIPS (2023)
Yanbo Chen, Weiwei Liu
A Theory of Transfer-Based Black-Box Attacks: Explanation and Implications. NeurIPS (2023)
Zhuoqun Huang, Neil G. Marchant, Keane Lucas, Lujo Bauer, Olga Ohrimenko, Benjamin I. P. Rubinstein
RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion. NeurIPS (2023)
Jonathan Pilault, Mahan Fathi, Orhan Firat, Chris Pal, Pierre-Luc Bacon, Ross Goroshin
Block-State Transformers. NeurIPS (2023)
Ishaan Gulrajani, Tatsunori B. Hashimoto
Likelihood-Based Diffusion Language Models. NeurIPS (2023)
Jia Guo, Shuai Lu, Lize Jia, Weihang Zhang, Huiqi Li
ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction. NeurIPS (2023)
Xinyi Wang, Wanrong Zhu, Michael Saxon, Mark Steyvers, William Yang Wang
Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning. NeurIPS (2023)
Yinshuang Xu, Jiahui Lei, Kostas Daniilidis
SE(3) Equivariant Convolution and Transformer in Ray Space. NeurIPS (2023)
Zhijian Zhou, Jie Ni, Jia-He Yao, Wei Gao
On the Exploration of Local Significant Differences For Two-Sample Test. NeurIPS (2023)
Andrew Wagenmaker, Guanya Shi, Kevin G. Jamieson
Optimal Exploration for Model-Based RL in Nonlinear Systems. NeurIPS (2023)
Jingjing Li, Wei Ji, Size Wang, Wenbo Li, Li Cheng
DVSOD: RGB-D Video Salient Object Detection. NeurIPS (2023)
Yifan Pu, Weicong Liang, Yiduo Hao, Yuhui Yuan, Yukang Yang, Chao Zhang, Han Hu, Gao Huang
Rank-DETR for High Quality Object Detection. NeurIPS (2023)
Zhihan Zhou, Jiangchao Yao, Feng Hong, Ya Zhang, Bo Han, Yanfeng Wang
Combating Representation Learning Disparity with Geometric Harmonization. NeurIPS (2023)
Md Wahiduzzaman Khan, Hongwei Sheng, Hu Zhang, Heming Du, Sen Wang, Minas Theodore Coroneo, Farshid Hajati, Sahar Shariflou, Michael Kalloniatis, Jack Phu, Ashish Agar, Zi Huang, S. Mojtaba Golzan, Xin Yu
RVD: A Handheld Device-Based Fundus Video Dataset for Retinal Vessel Segmentation. NeurIPS (2023)
Colin Bredenberg, Ezekiel Williams, Cristina Savin, Blake A. Richards, Guillaume Lajoie
Formalizing locality for normative synaptic plasticity models. NeurIPS (2023)
Yue Wu, Yewen Fan, Paul Pu Liang, Amos Azaria, Yuanzhi Li, Tom M. Mitchell
Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals. NeurIPS (2023)
Haggai Agmon, Yoram Burak
Simultaneous embedding of multiple attractor manifolds in a recurrent neural network using constrained gradient optimization. NeurIPS (2023)
Shai Ben-David, Alex Bie, Clément L. Canonne, Gautam Kamath, Vikrant Singhal
Private Distribution Learning with Public Data: The View from Sample Compression. NeurIPS (2023)
Wenjing Yan, Xuanyu Cao
Zero-Regret Performative Prediction Under Inequality Constraints. NeurIPS (2023)
Shivam Gupta, Jasper C. H. Lee, Eric Price, Paul Valiant
Minimax-Optimal Location Estimation. NeurIPS (2023)
Ao Zhang, Hao Fei, Yuan Yao, Wei Ji, Li Li, Zhiyuan Liu, Tat-Seng Chua
VPGTrans: Transfer Visual Prompt Generator across LLMs. NeurIPS (2023)
James Oldfield, Christos Tzelepis, Yannis Panagakis, Mihalis Nicolaou, Ioannis Patras
Parts of Speech-Grounded Subspaces in Vision-Language Models. NeurIPS (2023)
Zhongli Jiang, Dabao Zhang
Analysis of Variance of Multiple Causal Networks. NeurIPS (2023)
Jack Lanchantin, Shubham Toshniwal, Jason Weston, Arthur Szlam, Sainbayar Sukhbaatar
Learning to Reason and Memorize with Self-Notes. NeurIPS (2023)
Yuxuan Song, Jingjing Gong, Minkai Xu, Ziyao Cao, Yanyan Lan, Stefano Ermon, Hao Zhou, Wei-Ying Ma
Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation. NeurIPS (2023)
Yuanhan Zhang, Kaiyang Zhou, Ziwei Liu
What Makes Good Examples for Visual In-Context Learning? NeurIPS (2023)
Elysia Q. Smyers, Sydney M. Katz, Anthony Corso, Mykel J. Kochenderfer
AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator. NeurIPS (2023)
Ge Zheng, Bin Yang, Jiajin Tang, Hong-Yu Zhou, Sibei Yang
DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models. NeurIPS (2023)
Eduardo Sany Laber, Lucas Murtinho
Optimization of Inter-group criteria for clustering with minimum size constraints. NeurIPS (2023)
Lucy Xiaoyang Shi, Yunfan Jiang, Jake Grigsby, Linxi Fan, Yuke Zhu
Cross-Episodic Curriculum for Transformer Agents. NeurIPS (2023)
Kiarash Banihashem, MohammadTaghi Hajiaghayi, Suho Shin, Aleksandrs Slivkins
Bandit Social Learning under Myopic Behavior. NeurIPS (2023)
Changsheng Lv, Shuai Zhang, Yapeng Tian, Mengshi Qi, Huadong Ma
Disentangled Counterfactual Learning for Physical Audiovisual Commonsense Reasoning. NeurIPS (2023)
Hong Chen, Xin Wang, Yuwei Zhou, Yijian Qin, Chaoyu Guan, Wenwu Zhu
Joint Data-Task Generation for Auxiliary Learning. NeurIPS (2023)
Tiansheng Huang, Sihao Hu, Ka Ho Chow, Fatih Ilhan, Selim F. Tekin, Ling Liu
Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training. NeurIPS (2023)
Yiding Jiang, J. Zico Kolter, Roberta Raileanu
On the Importance of Exploration for Generalization in Reinforcement Learning. NeurIPS (2023)
Thoranna Bender, Simon Møe Sørensen, Alireza Kashani, Kristjan Eldjarn Hjorleifsson, Grethe Hyldig, Søren Hauberg, Serge J. Belongie, Frederik Warburg
Learning to Taste: A Multimodal Wine Dataset. NeurIPS (2023)
Yiqun Duan, Charles Chau, Zhen Wang, Yu-Kai Wang, Chin-Teng Lin
DeWave: Discrete Encoding of EEG Waves for EEG to Text Translation. NeurIPS (2023)
Milad Sefidgaran, Abdellatif Zaidi, Piotr Krasnowski
Minimum Description Length and Generalization Guarantees for Representation Learning. NeurIPS (2023)
Sohir Maskey, Raffaele Paolino, Aras Bacho, Gitta Kutyniok
A Fractional Graph Laplacian Approach to Oversmoothing. NeurIPS (2023)
Blake Bordelon, Cengiz Pehlevan
Dynamics of Finite Width Kernel and Prediction Fluctuations in Mean Field Neural Networks. NeurIPS (2023)
Depen Morwani, Jatin Batra, Prateek Jain, Praneeth Netrapalli
Simplicity Bias in 1-Hidden Layer Neural Networks. NeurIPS (2023)
Yu Pan, Ye Yuan, Yichun Yin, Zenglin Xu, Lifeng Shang, Xin Jiang, Qun Liu
Reusing Pretrained Models by Multi-linear Operators for Efficient Training. NeurIPS (2023)
Hongyi Yuan, Zheng Yuan, Chuanqi Tan, Wei Wang, Songfang Huang, Fei Huang
RRHF: Rank Responses to Align Language Models with Human Feedback. NeurIPS (2023)
Jing Zhang, Chi Zhang, Wenjia Wang, Bingyi Jing
Constrained Policy Optimization with Explicit Behavior Density For Offline Reinforcement Learning. NeurIPS (2023)
Yuyang Qiu, Uday V. Shanbhag, Farzad Yousefian
Zeroth-Order Methods for Nondifferentiable, Nonconvex, and Hierarchical Federated Optimization. NeurIPS (2023)
Joey Hejna, Dorsa Sadigh
Inverse Preference Learning: Preference-based RL without a Reward Function. NeurIPS (2023)
Neeratyoy Mallik, Edward Bergman, Carl Hvarfner, Danny Stoll, Maciej Janowski, Marius Lindauer, Luigi Nardi, Frank Hutter
PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning. NeurIPS (2023)
Steven Adriaensen, Herilalaina Rakotoarison, Samuel Müller, Frank Hutter
Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks. NeurIPS (2023)
Anastasia Batsheva, Andrei Chertkov, Gleb V. Ryzhakov, Ivan V. Oseledets
PROTES: Probabilistic Optimization with Tensor Sampling. NeurIPS (2023)