NeurIPS

The Collusion of Memory and Nonlinearity in Stochastic Approximation With Constant Stepsize

Dongyan Huo, Yixuan Zhang, Yudong Chen, Qiaomin Xie

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

Sequential Kernel Embedding for Mediated and Time-Varying Dose Response Curves

Rahul Singh, Liyuan Xu, Arthur Gretton

Comments Material in this draft previously appeared in a working paper presented at the 2020 NeurIPS Workshop on ML for Economic Policy (arXiv:2010.04855v1). We have divided the original working paper (arXiv:2010.04855v1) into two projects: one paper focusing on time-fixed settings (arXiv:2010.04855) and this paper focusing on time-varying settings

Improving Pre-trained Self-Supervised Embeddings Through Effective Entropy Maximization

Deep Chakraborty, Yann LeCun, Tim G. J. Rudner, Erik Learned-Miller

Comments Published in Proceedings of the 28th International Conference on Artificial Intelligence and Statistics (AISTATS 2025). A preliminary version of this work also appeared in the NeurIPS 2024 Workshop on Self-Supervised Learning: Theory and Practice

PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action

Yijia Shao, Tianshi Li, Weiyan Shi, Yanchen Liu, Diyi Yang

Comments NeurIPS 2024 Datasets and Benchmarks Track

Protein Discovery with Discrete Walk-Jump Sampling

Nathan C. Frey, Daniel Berenberg, Karina Zadorozhny, Joseph Kleinhenz, Julien Lafrance-Vanasse, Isidro Hotzel, Yan Wu, Stephen Ra, Richard Bonneau, Kyunghyun Cho, Andreas Loukas, Vladimir Gligorijevic, Saeed Saremi

Comments ICLR 2024 oral presentation, top 1.2% of submissions; {ICLR 2023 Physics for Machine Learning, NeurIPS 2023 GenBio, MLCB 2023} Spotlight

Journal ref The Twelfth International Conference on Learning Representations, 2024

Procedure-Aware Surgical Video-language Pretraining with Hierarchical Knowledge Augmentation

Kun Yuan, Vinkle Srivastav, Nassir Navab, Nicolas Padoy

Comments Accepted at the 38th Conference on Neural Information Processing Systems (NeurIPS 2024 Spolight)

Monomial Matrix Group Equivariant Neural Functional Networks

Viet-Hoang Tran, Thieu N. Vo, Tho H. Tran, An T. Nguyen, Tan M. Nguyen

Comments 10 pages in the main text. Published at NeurIPS 2024. The code is available at https://github.com/MathematicalAI-NUS/Monomial-NFN

Why LLMs Cannot Think and How to Fix It

Marius Jahrens, Thomas Martinetz

Comments Original conference submission for neurips 2024

AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks

Jin Li, Ziqiang He, Anwei Luo, Jian-Fang Hu, Z. Jane Wang, Xiangui Kang

Comments Accept by NeurIPS 2024. Please cite this paper using the following format: J. Li, Z. He, A. Luo, J. Hu, Z. Wang, X. Kang*, "AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks", the 38th Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, Dec 9-15, 2024. Code: https://github.com/XianguiKang/AdvAD

Journal ref Advances in Neural Information Processing Systems, vol. 37, pp. 52323--52353, 2024

Implicit Contrastive Representation Learning with Guided Stop-gradient

Byeongchan Lee, Sehyun Lee

Comments Neurips 2023

Journal ref Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023

DetectRL: Benchmarking LLM-Generated Text Detection in Real-World Scenarios

Junchao Wu, Runzhe Zhan, Derek F. Wong, Shu Yang, Xinyi Yang, Yulin Yuan, Lidia S. Chao

Comments Accepted to NeurIPS 2024 Datasets and Benchmarks Track (Camera-Ready)

LiveScene: Language Embedding Interactive Radiance Fields for Physical Scene Rendering and Control

Delin Qu, Qizhi Chen, Pingrui Zhang, Xianqiang Gao, Junzhe Li, Bin Zhao, Dong Wang, Xuelong Li

Comments Accepted at Neurips 2024

Chain of Thoughtlessness? An Analysis of CoT in Planning

Kaya Stechly, Karthik Valmeekam, Subbarao Kambhampati

Comments NeurIPS 2024

On the Generalization Properties of Diffusion Models

Puheng Li, Zhong Li, Huishuai Zhang, Jiang Bian

Comments Accepted at NeurIPS 2023

Statistical and Geometrical properties of regularized Kernel Kullback-Leibler divergence

Clémentine Chazal, Anna Korba, Francis Bach

Comments Paper accepted to NeurIPS 2024

Surgical SAM 2: Real-time Segment Anything in Surgical Video by Efficient Frame Pruning

Haofeng Liu, Erli Zhang, Junde Wu, Mingxuan Hong, Yueming Jin

Comments Accepted by NeurIPS 2024 Workshop AIM-FM

CountGD: Multi-Modal Open-World Counting

Niki Amini-Naieni, Tengda Han, Andrew Zisserman

Comments NeurIPS 2024

Goal Conditioned Reinforcement Learning for Photo Finishing Tuning

Jiarui Wu, Yujin Wang, Lingen Li, Zhang Fan, Tianfan Xue

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

Journal ref Advances in Neural Information Processing Systems 37 (2024): 46294-46318

Boosting Alignment for Post-Unlearning Text-to-Image Generative Models

Myeongseob Ko, Henry Li, Zhun Wang, Jonathan Patsenker, Jiachen T. Wang, Qinbin Li, Ming Jin, Dawn Song, Ruoxi Jia

Comments The Thirty-Eighth Annual Conference on Neural Information Processing Systems

MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection

Haoyang He, Yuhu Bai, Jiangning Zhang, Qingdong He, Hongxu Chen, Zhenye Gan, Chengjie Wang, Xiangtai Li, Guanzhong Tian, Lei Xie

Comments NeurIPS'24

CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning

Yibo Yang, Xiaojie Li, Zhongzhu Zhou, Shuaiwen Leon Song, Jianlong Wu, Liqiang Nie, Bernard Ghanem

Comments NeurIPS 2024

Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques

Manh Cuong Dao, Phi Le Nguyen, Thao Nguyen Truong, Trong Nghia Hoang

Journal ref The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024

EchoQA: A Large Collection of Instruction Tuning Data for Echocardiogram Reports

Lama Moukheiber, Mira Moukheiber, Dana Moukheiiber, Jae-Woo Ju, Hyung-Chul Lee

Comments NeurIPS SafeGenAI 2024

OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI

Zhen Huang, Zengzhi Wang, Shijie Xia, Xuefeng Li, Haoyang Zou, Ruijie Xu, Run-Ze Fan, Lyumanshan Ye, Ethan Chern, Yixin Ye, Yikai Zhang, Yuqing Yang, Ting Wu, Binjie Wang, Shichao Sun, Yang Xiao, Yiyuan Li, Fan Zhou, Steffi Chern, Yiwei Qin, Yan Ma, Jiadi Su, Yixiu Liu, Yuxiang Zheng, Shaoting Zhang, Dahua Lin, Yu Qiao, Pengfei Liu

Comments Accepted by NeurIPS 2024

BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity

Zahra Gharaee, Scott C. Lowe, ZeMing Gong, Pablo Millan Arias, Nicholas Pellegrino, Austin T. Wang, Joakim Bruslund Haurum, Iuliia Zarubiieva, Lila Kari, Dirk Steinke, Graham W. Taylor, Paul Fieguth, Angel X. Chang

Journal ref NeurIPS 2024

Canonical normalizing flows for manifold learning

Kyriakos Flouris, Ender Konukoglu

Comments NeurIPS 2023, https://neurips.cc/virtual/2023/poster/69924

Approximating mutual information of high-dimensional variables using learned representations

Gokul Gowri, Xiao-Kang Lun, Allon M. Klein, Peng Yin

Journal ref [spotlight] Advances in Neural Information Processing Systems 37 (2025): 132843-132875

Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering

Jie Ma, Min Hu, Pinghui Wang, Wangchun Sun, Lingyun Song, Hongbin Pei, Jun Liu, Youtian Du

Comments Accepted by NeurIPS 2024

Provably Safe Neural Network Controllers via Differential Dynamic Logic

Samuel Teuber, Stefan Mitsch, André Platzer

Comments 39 pages (main paper has 10 pages), 13 figures; Accepted at the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024)

Journal ref in Advances in Neural Information Processing Systems, 2024, pp. 1586-1624

Accuracy is Not All You Need

Abhinav Dutta, Sanjeev Krishnan, Nipun Kwatra, Ramachandran Ramjee

Journal ref https://proceedings.neurips.cc/paper_files/paper/2024/hash/e0e956681b04ac126679e8c7dd706b2e-Abstract-Conference.html