NeurIPS

RH20T-P: A Primitive-Level Robotic Dataset Towards Composable Generalization Agents

Zeren Chen, Zhelun Shi, Xiaoya Lu, Lehan He, Sucheng Qian, Zhenfei Yin, Wanli Ouyang, Jing Shao, Yu Qiao, Cewu Lu, Lu Sheng

Comments 18 pages, 11 figures, 7 tables. Accepted by NeurIPS 2024 Workshop

Certified Machine Unlearning via Noisy Stochastic Gradient Descent

Eli Chien, Haoyu Wang, Ziang Chen, Pan Li

Comments NeurIPS 2024. Updated title and introduction while the main results are the same. Add a discussion on utility guarantee. arXiv admin note: text overlap with arXiv:2401.10371

Unpaired Translation of Point Clouds for Modeling Detector Response

Mingyang Li, Michelle Kuchera, Raghuram Ramanujan, Adam Anthony, Curtis Hunt, Yassid Ayyad

Comments NeurIPS Machine Learning and the Physical Sciences Workshop 2025

Layer-Adaptive State Pruning for Deep State Space Models

Minseon Gwak, Seongrok Moon, Joohwan Ko, PooGyeon Park

Comments NeurIPS 2024, Added missing arXiv information for one reference

Stronger Than You Think: Benchmarking Weak Supervision on Realistic Tasks

Tianyi Zhang, Linrong Cai, Jeffrey Li, Nicholas Roberts, Neel Guha, Jinoh Lee, Frederic Sala

Comments NeurIPS 2024 Datasets and Benchmarks Track

Universal Rates of Empirical Risk Minimization

Steve Hanneke, Mingyue Xu

Comments This paper has been accepted to the 38th Conference on Neural Information Processing Systems (NeurIPS 2024)

Prospective Learning: Learning for a Dynamic Future

Ashwin De Silva, Rahul Ramesh, Rubing Yang, Siyu Yu, Joshua T Vogelstein, Pratik Chaudhari

Comments Accepted to NeurIPS 2024

Nonlinear dynamics of localization in neural receptive fields

Leon Lufkin, Andrew M. Saxe, Erin Grant

Comments Appeared at the 38th Conference on Neural Information Processing Systems (NeurIPS 2024); spotlight presentation

AdaSociety: An Adaptive Environment with Social Structures for Multi-Agent Decision-Making

Yizhe Huang, Xingbo Wang, Hao Liu, Fanqi Kong, Aoyang Qin, Min Tang, Song-Chun Zhu, Mingjie Bi, Siyuan Qi, Xue Feng

Comments Accepted at NeurIPS D&B 2024

FlexCap: Describe Anything in Images in Controllable Detail

Debidatta Dwibedi, Vidhi Jain, Jonathan Tompson, Andrew Zisserman, Yusuf Aytar

Comments Accepted at NeurIPS 2024

Scanning Trojaned Models Using Out-of-Distribution Samples

Hossein Mirzaei, Ali Ansari, Bahar Dibaei Nia, Mojtaba Nafez, Moein Madadi, Sepehr Rezaee, Zeinab Sadat Taghavi, Arad Maleki, Kian Shamsaie, Mahdi Hajialilue, Jafar Habibi, Mohammad Sabokrou, Mohammad Hossein Rohban

Comments Accepted at the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS) 2024. The code repository is available at: https://github.com/rohban-lab/TRODO

Smoothed Embeddings for Robust Language Models

Ryo Hase, Md Rafi Ur Rashid, Ashley Lewis, Jing Liu, Toshiaki Koike-Akino, Kieran Parsons, Ye Wang

Comments Presented in the Safe Generative AI Workshop at NeurIPS 2024

CantorNet: A Sandbox for Testing Geometrical and Topological Complexity Measures

Michal Lewandowski, Hamid Eghbalzadeh, Bernhard A. Moser

Comments Accepted at the NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2024

Semantic Self-Consistency: Enhancing Language Model Reasoning via Semantic Weighting

Tim Knappe, Ryan Li, Ayush Chauhan, Kaylee Chhua, Kevin Zhu, Sean O'Brien

Comments Accepted to MATH-AI at NeurIPS 2024

Commute Your Domains: Trajectory Optimality Criterion for Multi-Domain Learning

Alexey Rukhovich, Alexander Podolskiy, Irina Piontkovskaya

Comments NeurIPS 2024 Workshop on Mathematics of Modern Machine Learning

Qualitative Mechanism Independence

Oliver E Richardson, Spencer Peters, Joseph Y Halpern

Comments NeurIPS 2024

Divergence-Augmented Policy Optimization

Qing Wang, Yingru Li, Jiechao Xiong, Tong Zhang

Comments 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada

B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable

Shreyash Arya, Sukrut Rao, Moritz Böhle, Bernt Schiele

Comments 31 pages, 9 figures, 12 tables, Neural Information Processing Systems (NeurIPS) 2024; added references, corrected typos

Functionally Constrained Algorithm Solves Convex Simple Bilevel Problems

Huaqing Zhang, Lesi Chen, Jing Xu, Jingzhao Zhang

Comments Accepted at NeurIPS 2024

Sparse High Rank Adapters

Kartikeya Bhardwaj, Nilesh Prasad Pandey, Sweta Priyadarshi, Viswanath Ganapathy, Shreya Kadambi, Rafael Esteves, Shubhankar Borse, Paul Whatmough, Risheek Garrepalli, Mart Van Baalen, Harris Teague, Markus Nagel

Comments NeurIPS 2024

Task Me Anything

Jieyu Zhang, Weikai Huang, Zixian Ma, Oscar Michel, Dong He, Tanmay Gupta, Wei-Chiu Ma, Ali Farhadi, Aniruddha Kembhavi, Ranjay Krishna

Comments NeurIPS 2024 Track on Datasets and Benchmarks. Website: https://www.task-me-anything.org

BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models

Yibin Wang, Haizhou Shi, Ligong Han, Dimitris Metaxas, Hao Wang

Comments Accepted at NeurIPS 2024. Additional experiments have been included in the appendix

When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search

Xuan Chen, Yuzhou Nie, Wenbo Guo, Xiangyu Zhang

Journal ref NeurIPS 2024

Optimizing Automatic Differentiation with Deep Reinforcement Learning

Jamie Lohoff, Emre Neftci

Comments Accepted as a spotlight paper at NeurIPS 2024

Journal ref Proceedings of the 38th Conference on Neural Information Processing Systems. 2024

Selective Generation for Controllable Language Models

Minjae Lee, Kyungmin Kim, Taesoo Kim, Sangdon Park

Comments Accepted to NeurIPS 2024 (spotlight)

Cardinality-Regularized Hawkes-Granger Model

Tsuyoshi Idé, Georgios Kollias, Dzung T. Phan, Naoki Abe

Comments 17 pages, 9 figures

Journal ref Tsuyoshi Idé, Georgios Kollias, Dzung T. Phan, Naoki Abe, "Cardinality-Regularized Hawkes-Granger Model," Advances in Neural Information Processing Systems 34 (NeurIPS 2021), pp.2682-2694

The Karp Dataset

Mason DiCicco, Eamon Worden, Conner Olsen, Nikhil Gangaram, Daniel Reichman, Neil Heffernan

Comments Accepted to the 4th workshop on mathematical reasoning and AI at NeurIPS 2024

ChemTEB: Chemical Text Embedding Benchmark, an Overview of Embedding Models Performance & Efficiency on a Specific Domain

Ali Shiraee Kasmaee, Mohammad Khodadad, Mohammad Arshi Saloot, Nicholas Sherck, Stephen Dokas, Hamidreza Mahyar, Soheila Samiee

Journal ref Proceedings of The 4th NeurIPS Efficient Natural Language and Speech Processing Workshop, PMLR 262:512-531 (2024)

Model-Based Transfer Learning for Contextual Reinforcement Learning

Jung-Hoon Cho, Vindula Jayawardana, Sirui Li, Cathy Wu

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

Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis

Haoxin Liu, Shangqing Xu, Zhiyuan Zhao, Lingkai Kong, Harshavardhan Kamarthi, Aditya B. Sasanur, Megha Sharma, Jiaming Cui, Qingsong Wen, Chao Zhang, B. Aditya Prakash

Comments Accepted by NeurIPS 2024 Datasets and Benchmarks Track