NeurIPS

Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements

Jiseok Chae, Chulhee Yun, Donghwan Kim

Comments 73+7 pages, 4 figures. Published in NeurIPS 2024

Active Learning of General Halfspaces: Label Queries vs Membership Queries

Ilias Diakonikolas, Daniel M. Kane, Mingchen Ma

Comments Accepted by NeurIPS 2024

Exploring Physics-Informed Neural Networks for Crop Yield Loss Forecasting

Miro Miranda, Marcela Charfuelan, Andreas Dengel

Comments 6 pages, 2 figures, NeurIPS 2024 Workshop on Tackling Climate Change with Machine Learning

Journal ref https://www.climatechange.ai/papers/neurips2024/45

Intuitive Analysis of the Quantization-based Optimization: From Stochastic and Quantum Mechanical Perspective

Jinwuk Seok, Changsik Cho

Comments published in NeurIPS 2024 workshop OPT2024

Toward Information Theoretic Active Inverse Reinforcement Learning

Ondrej Bajgar, Sid William Gould, Rohan Narayan Langford Mitta, Jonathon Liu, Oliver Newcombe, Jack Golden

Comments NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty

Towards Unraveling and Improving Generalization in World Models

Qiaoyi Fang, Weiyu Du, Hang Wang, Junshan Zhang

Comments An earlier version of this paper was submitted to NeurIPS and received ratings of (7, 6, 6). The reviewers' comments and the original draft are available at OpenReview. This version contains minor modifications based on that submission

Open-Book Neural Algorithmic Reasoning

Hefei Li, Chao Peng, Chenyang Xu, Zhengfeng Yang

Comments Appeared at NeurIPS 2024

Adversarial Negotiation Dynamics in Generative Language Models

Arinbjörn Kolbeinsson, Benedikt Kolbeinsson

Comments Paper at NeurIPS 2024 Workshop on Red Teaming GenAI

Adapting to Unknown Low-Dimensional Structures in Score-Based Diffusion Models

Gen Li, Yuling Yan

Comments accepted to NeurIPS 2024

Quantum Diffusion Model for Quark and Gluon Jet Generation

Mariia Baidachna, Rey Guadarrama, Gopal Ramesh Dahale, Tom Magorsch, Isabel Pedraza, Konstantin T. Matchev, Katia Matcheva, Kyoungchul Kong, Sergei Gleyzer

Comments Accepted for the NeurIPS 2024 MLNCP workshop

Self-Disclosure to AI: The Paradox of Trust and Vulnerability in Human-Machine Interactions

Zoe Zhiqiu Jiang

Comments Accepted at NeurIPS 2024 Creative AI

BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning

Jianming Pan, Zeqi Ye, Xiao Yang, Xu Yang, Weiqing Liu, Lewen Wang, Jiang Bian

Comments NeurIPS 2024 Spotlight

Geometric-Averaged Preference Optimization for Soft Preference Labels

Hiroki Furuta, Kuang-Huei Lee, Shixiang Shane Gu, Yutaka Matsuo, Aleksandra Faust, Heiga Zen, Izzeddin Gur

Comments Accepted at NeurIPS 2024

Why the Metric Backbone Preserves Community Structure

Maximilien Dreveton, Charbel Chucri, Matthias Grossglauser, Patrick Thiran

Journal ref The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024)

Genetic-guided GFlowNets for Sample Efficient Molecular Optimization

Hyeonah Kim, Minsu Kim, Sanghyeok Choi, Jinkyoo Park

Comments NeurIPS 2024

VMamba: Visual State Space Model

Yue Liu, Yunjie Tian, Yuzhong Zhao, Hongtian Yu, Lingxi Xie, Yaowei Wang, Qixiang Ye, Jianbin Jiao, Yunfan Liu

Comments 33 pages, 14 figures, 15 tables. NeurIPS 2024 spotlight

Vitron: A Unified Pixel-level Vision LLM for Understanding, Generating, Segmenting, Editing

Hao Fei, Shengqiong Wu, Hanwang Zhang, Tat-Seng Chua, Shuicheng Yan

Comments Accepted by NeurIPS 2024

Neuc-MDS: Non-Euclidean Multidimensional Scaling Through Bilinear Forms

Chengyuan Deng, Jie Gao, Kevin Lu, Feng Luo, Hongbin Sun, Cheng Xin

Comments Accepted to 38th Conference on Neural Information Processing Systems (NeurIPS 2024)

CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition

Yuhang Wen, Mengyuan Liu, Songtao Wu, Beichen Ding

Comments NeurIPS 2024 Camera-ready Version. Project Website: https://necolizer.github.io/CHASE/

A Unified Analysis of Federated Learning with Arbitrary Client Participation

Shiqiang Wang, Mingyue Ji

Comments Presented at NeurIPS 2022. This latest version includes a minor fix of Step (a) in Equation (C.15) in the proof, which only affects a numerical constant in the learning rate choice for the theory. The convergence bounds expressed in $\mathcal{O}(\cdot)$ as well as all the main findings and conclusions remain the same

RTify: Aligning Deep Neural Networks with Human Behavioral Decisions

Yu-Ang Cheng, Ivan Felipe Rodriguez, Sixuan Chen, Kohitij Kar, Takeo Watanabe, Thomas Serre

Comments Published at NeurIPS 2024

TableRAG: Million-Token Table Understanding with Language Models

Si-An Chen, Lesly Miculicich, Julian Martin Eisenschlos, Zifeng Wang, Zilong Wang, Yanfei Chen, Yasuhisa Fujii, Hsuan-Tien Lin, Chen-Yu Lee, Tomas Pfister

Comments Accepted to NeurIPS 2024

MECD: Unlocking Multi-Event Causal Discovery in Video Reasoning

Tieyuan Chen, Huabin Liu, Tianyao He, Yihang Chen, Chaofan Gan, Xiao Ma, Cheng Zhong, Yang Zhang, Yingxue Wang, Hui Lin, Weiyao Lin

Comments Accepted at NeurIPS 2024 as a spotlight paper

S-STE: Continuous Pruning Function for Efficient 2:4 Sparse Pre-training

Yuezhou Hu, Jun Zhu, Jianfei Chen

Journal ref 38th Conference on Neural Information Processing Systems (NeurIPS 2024)

Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress?

Richard Ren, Steven Basart, Adam Khoja, Alice Gatti, Long Phan, Xuwang Yin, Mantas Mazeika, Alexander Pan, Gabriel Mukobi, Ryan H. Kim, Stephen Fitz, Dan Hendrycks

Comments NeurIPS 2024

LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning

Rui Pan, Xiang Liu, Shizhe Diao, Renjie Pi, Jipeng Zhang, Chi Han, Tong Zhang

Comments NeurIPS 2024

Regularized Adaptive Momentum Dual Averaging with an Efficient Inexact Subproblem Solver for Training Structured Neural Network

Zih-Syuan Huang, Ching-pei Lee

Comments NeurIPS 2024. 25 pages

Provable Robust Saliency-based Explanations

Chao Chen, Chenghua Guo, Rufeng Chen, Guixiang Ma, Ming Zeng, Xiangwen Liao, Xi Zhang, Sihong Xie

Comments Accepted to NeurIPS 2024

Journal ref NeurIPS 2024

Optimistic Critic Reconstruction and Constrained Fine-Tuning for General Offline-to-Online RL

Qin-Wen Luo, Ming-Kun Xie, Ye-Wen Wang, Sheng-Jun Huang

Comments Accepted to Neurips 2024

Successes and Limitations of Object-centric Models at Compositional Generalisation

Milton L. Montero, Jeffrey S. Bowers, Gaurav Malhotra

Comments As it appeared in the Compositional Learning Workshop, NeurIPS 2024; 14 pages (5 main text, 7 appendices, 2 references); 9 figures