NeurIPS

"Lossless" Compression of Deep Neural Networks: A High-dimensional Neural Tangent Kernel Approach

Lingyu Gu, Yongqi Du, Yuan Zhang, Di Xie, Shiliang Pu, Robert C. Qiu, Zhenyu Liao

Comments 32 pages, 4 figures, and 2 tables. Fixing typos in Theorems 1 and 2 from NeurIPS 2022 proceeding (https://proceedings.neurips.cc/paper_files/paper/2022/hash/185087ea328b4f03ea8fd0c8aa96f747-Abstract-Conference.html)

Structural Estimation of Markov Decision Processes in High-Dimensional State Space with Finite-Time Guarantees

Siliang Zeng, Mingyi Hong, Alfredo Garcia

Comments This conference version of this paper refers to "Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees" in NeurIPS 2022

Bayesian Robust Optimization for Imitation Learning

Daniel S. Brown, Scott Niekum, Marek Petrik

Comments In proceedings NeurIPS 2020

Diverse Community Data for Benchmarking Data Privacy Algorithms

Aniruddha Sen, Christine Task, Dhruv Kapur, Gary Howarth, Karan Bhagat

Journal ref https://proceedings.neurips.cc/paper_files/paper/2023/file/a15032f8199511ced4d7a8e2bbb487a5-Paper-Datasets_and_Benchmarks.pdf

Mirror Diffusion Models for Constrained and Watermarked Generation

Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou, Molei Tao

Comments submitted to NeurIPS on 5/18 but did not arxiv per NeurIPS policy, accepted on 9/22

Application of Zone Method based Physics-Informed Neural Networks in Reheating Furnaces

Ujjal Kr Dutta, Aldo Lipani, Chuan Wang, Yukun Hu

Comments Accepted in: NeurIPS 2023 - Machine Learning and the Physical Sciences Workshop

Improving Generalization in Reinforcement Learning Training Regimes for Social Robot Navigation

Adam Sigal, Hsiu-Chin Lin, AJung Moon

Comments NeurIPS 2023 Workshop on Generalization in Planning, 2023

Parameter-efficient Tuning of Large-scale Multimodal Foundation Model

Haixin Wang, Xinlong Yang, Jianlong Chang, Dian Jin, Jinan Sun, Shikun Zhang, Xiao Luo, Qi Tian

Comments Accepted by NeurIPS2023

Journal ref Advances in Neural Information Processing Systems 2023

Fast Exact Leverage Score Sampling from Khatri-Rao Products with Applications to Tensor Decomposition

Vivek Bharadwaj, Osman Asif Malik, Riley Murray, Laura Grigori, Aydin Buluc, James Demmel

Comments The 37th Conference on Neural Information Processing Systems (Neurips'23). 28 pages, 10 figures, 6 tables

The committee machine: Computational to statistical gaps in learning a two-layers neural network

Benjamin Aubin, Antoine Maillard, Jean Barbier, Florent Krzakala, Nicolas Macris, Lenka Zdeborová

Comments 18 pages + supplementary material, 3 figures. (v2: update to match the published version ; v3: clarification of the caption of Fig. 3)

Journal ref J. Stat. Mech. (2019) 124023. & NeurIPS 2018

Mutual Information Regularized Offline Reinforcement Learning

Xiao Ma, Bingyi Kang, Zhongwen Xu, Min Lin, Shuicheng Yan

Comments NeurIPS 2023

PerfectDou: Dominating DouDizhu with Perfect Information Distillation

Guan Yang, Minghuan Liu, Weijun Hong, Weinan Zhang, Fei Fang, Guangjun Zeng, Yue Lin

Comments Fix minor errors. 23 pages, 8 figures, 13 tables. Published at NeurIPS 2022. The first two authors contribute equally. Project page at https://github.com/Netease-Games-AI-Lab-Guangzhou/PerfectDou

Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers

Yiwei Lu, Yaoliang Yu, Xinlin Li, Vahid Partovi Nia

Comments Accepted to NeurIPS 2023

Reading Relevant Feature from Global Representation Memory for Visual Object Tracking

Xinyu Zhou, Pinxue Guo, Lingyi Hong, Jinglun Li, Wei Zhang, Weifeng Ge, Wenqiang Zhang

Comments 9pages,5 figures, accepted by the Thirty-seventh Conference on Neural Information Processing Systems(Neurips 2023)

DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models

Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li

Comments NeurIPS 2023 Outstanding Paper (Datasets and Benchmarks Track)

Communication-Efficient Federated Bilevel Optimization with Local and Global Lower Level Problems

Junyi Li, Feihu Huang, Heng Huang

Comments NeurIPS 2023 version (Algorithm 1 is updated to be more concise)

xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data

Jing Gong, Minsheng Hao, Xingyi Cheng, Xin Zeng, Chiming Liu, Jianzhu Ma, Xuegong Zhang, Taifeng Wang, Le Song

Comments Accepted by NeurIPS 2023

Simple and Asymmetric Graph Contrastive Learning without Augmentations

Teng Xiao, Huaisheng Zhu, Zhengyu Chen, Suhang Wang

Comments NeurIPS 2023 Main Track

On the Identifiability of Nonlinear ICA: Sparsity and Beyond

Yujia Zheng, Ignavier Ng, Kun Zhang

Comments NeurIPS 2022

Semantic Image Synthesis with Unconditional Generator

Jungwoo Chae, Hyunin Cho, Sooyeon Go, Kyungmook Choi, Youngjung Uh

Comments NeurIPS 2023, Project Page: https://hhyunn2.github.io/SIS_UncondG/

Mip-Grid: Anti-aliased Grid Representations for Neural Radiance Fields

Seungtae Nam, Daniel Rho, Jong Hwan Ko, Eunbyung Park

Comments Accepted to NeurIPS 2023

State Regularized Policy Optimization on Data with Dynamics Shift

Zhenghai Xue, Qingpeng Cai, Shuchang Liu, Dong Zheng, Peng Jiang, Kun Gai, Bo An

Comments Accepted at NeurIPS 2023

Promises and Pitfalls of Threshold-based Auto-labeling

Harit Vishwakarma, Heguang Lin, Frederic Sala, Ramya Korlakai Vinayak

Comments NeurIPS 2023 (Spotlight)

Journal ref Thirty Seventh Conference on Neural Information Processing Systems (NeurIPS 2023)

Latent SDEs on Homogeneous Spaces

Sebastian Zeng, Florian Graf, Roland Kwitt

Comments v3: updated experiments with results using the public source code (commit bc6edd1)

Journal ref NeurIPS 2023

Mildly Conservative Q-Learning for Offline Reinforcement Learning

Jiafei Lyu, Xiaoteng Ma, Xiu Li, Zongqing Lu

Comments NeurIPS 2022

Conflict-Averse Gradient Descent for Multi-task Learning

Bo Liu, Xingchao Liu, Xiaojie Jin, Peter Stone, Qiang Liu

Comments 20 pages, 6 figures, Conference on Neural Information Processing Systems, 2021

Self-Supervised Pre-Training for Precipitation Post-Processor

Sojung An, Junha Lee, Jiyeon Jang, Inchae Na, Wooyeon Park, Sujeong You

Comments 7 pages, 3 figures, 1 table, accepted to NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning at [this http URL](https://www.climatechange.ai/papers/neurips2023/18)

Interpretable Prototype-based Graph Information Bottleneck

Sangwoo Seo, Sungwon Kim, Chanyoung Park

Comments NeurIPS 2023

Towards Distribution-Agnostic Generalized Category Discovery

Jianhong Bai, Zuozhu Liu, Hualiang Wang, Ruizhe Chen, Lianrui Mu, Xiaomeng Li, Joey Tianyi Zhou, Yang Feng, Jian Wu, Haoji Hu

Comments Accepted at NeurIPS 2023

Semi-supervised Dense Keypoints Using Unlabeled Multiview Images

Zhixuan Yu, Haozheng Yu, Long Sha, Sujoy Ganguly, Hyun Soo Park

Comments Published as a conference paper at NeurIPS 2021