NeurIPS

Distributionally Robust Performative Prediction

Songkai Xue, Yuekai Sun

Comments In Proceedings of the 38th Conference on Neural Information Processing Systems (NeurIPS 2024)

Enhancing Reasoning to Adapt Large Language Models for Domain-Specific Applications

Bo Wen, Xin Zhang

Comments NeurIPS 2024 Workshop AFM (Adaptive Foundation Models: Evolving AI for Personalized and Efficient Learning)

Journal ref https://neurips.cc/virtual/2024/104981

Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning

Yijun Dong, Hoang Phan, Xiang Pan, Qi Lei

Comments NeurIPS 2024

DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection

Jia Syuen Lim, Zhuoxiao Chen, Mahsa Baktashmotlagh, Zhi Chen, Xin Yu, Zi Huang, Yadan Luo

Comments Accepted to NeurIPS 2024

Powering LLM Regulation through Data: Bridging the Gap from Compute Thresholds to Customer Experiences

Wesley Pasfield

Comments Presented at the 2nd Workshop on Regulatable ML at NeurIPS 2024

Responsible Artificial Intelligence (RAI) in U.S. Federal Government : Principles, Policies, and Practices

Atul Rawal, Katie Johnson, Curtis Mitchell, Michael Walton, Diamond Nwankwo

Comments Presented at the 2nd Workshop on Regulatable ML at NeurIPS 2024

MimicTouch: Leveraging Multi-modal Human Tactile Demonstrations for Contact-rich Manipulation

Kelin Yu, Yunhai Han, Qixian Wang, Vaibhav Saxena, Danfei Xu, Ye Zhao

Comments Accepted by CoRL 2024, Best Paper Award at NeurIPS 2023 Touch Processing Workshop

Learning from Active Human Involvement through Proxy Value Propagation

Zhenghao Peng, Wenjie Mo, Chenda Duan, Quanyi Li, Bolei Zhou

Comments NeurIPS 2023 Spotlight. Project page: https://metadriverse.github.io/pvp

Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization

Yang Li, Jinpei Guo, Runzhong Wang, Hongyuan Zha, Junchi Yan

Comments Published at NeurIPS 2024, the implementation code is available at https://github.com/Thinklab-SJTU/Fast-T2T

Secure & Personalized Music-to-Video Generation via CHARCHA

Mehul Agarwal, Gauri Agarwal, Santiago Benoit, Andrew Lippman, Jean Oh

Comments NeurIPS 2024 Creative AI Track

Analyzing (In)Abilities of SAEs via Formal Languages

Abhinav Menon, Manish Shrivastava, David Krueger, Ekdeep Singh Lubana

Comments NeurIPS workshop on Foundation Model Interventions (Awarded best paper); North American Association of Computational Linguistics

Revealing the Learning Process in Reinforcement Learning Agents Through Attention-Oriented Metrics

Charlotte Beylier, Simon M. Hofmann, Nico Scherf

Comments Workshop on Scientific Methods for Understanding Deep Learning, NeurIPS 2024

Dissecting Adversarial Robustness of Multimodal LM Agents

Chen Henry Wu, Rishi Shah, Jing Yu Koh, Ruslan Salakhutdinov, Daniel Fried, Aditi Raghunathan

Comments ICLR 2025. Also oral at NeurIPS 2024 Open-World Agents Workshop

Muharaf: Manuscripts of Handwritten Arabic Dataset for Cursive Text Recognition

Mehreen Saeed, Adrian Chan, Anupam Mijar, Joseph Moukarzel, Georges Habchi, Carlos Younes, Amin Elias, Chau-Wai Wong, Akram Khater

Journal ref Published in NeurIPS 2024

Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits

Gennaro Gala, Cassio de Campos, Antonio Vergari, Erik Quaeghebeur

Journal ref NeurIPS 2024

Images that Sound: Composing Images and Sounds on a Single Canvas

Ziyang Chen, Daniel Geng, Andrew Owens

Comments Accepted to NeurIPS 2024. Project site: https://ificl.github.io/images-that-sound/

Benchmark on Peer Review Toxic Detection: A Challenging Task with a New Dataset

Man Luo, Bradley Peterson, Rafael Gan, Hari Ramalingame, Navya Gangrade, Ariadne Dimarogona, Imon Banerjee, Phillip Howard

Comments Accepted to WiML workshop @Neurips 2024

A Method for Evaluating Hyperparameter Sensitivity in Reinforcement Learning

Jacob Adkins, Michael Bowling, Adam White

Comments Neurips 2024

Trajectory Flow Matching with Applications to Clinical Time Series Modeling

Xi Zhang, Yuan Pu, Yuki Kawamura, Andrew Loza, Yoshua Bengio, Dennis L. Shung, Alexander Tong

Comments NeurIPS 2024 Spotlight

Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning

Andreas Schlaginhaufen, Maryam Kamgarpour

Comments The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024)

The ALCHEmist: Automated Labeling 500x CHEaper Than LLM Data Annotators

Tzu-Heng Huang, Catherine Cao, Vaishnavi Bhargava, Frederic Sala

Comments NeurIPS 2024 Spotlight Paper

One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection

Yiyue Li, Shaoting Zhang, Kang Li, Qicheng Lao

Comments In The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS2024)

Cosmological super-resolution of the 21-cm signal

Simon Pochinda, Jiten Dhandha, Anastasia Fialkov, Eloy de Lera Acedo

Comments 10 pages, 2 figures, accepted submission for the Machine Learning and the Physical Sciences Workshop at the 38th conference on Neural Information Processing Systems (NeurIPS), OpenReview link: https://openreview.net/forum?id=QGgeqMV8Er

Time-Reversal Provides Unsupervised Feedback to LLMs

Yerram Varun, Rahul Madhavan, Sravanti Addepalli, Arun Suggala, Karthikeyan Shanmugam, Prateek Jain

Comments Accepted as a spotlight in NeurIPS 2024

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

TurboHopp: Accelerated Molecule Scaffold Hopping with Consistency Models

Kiwoong Yoo, Owen Oertell, Junhyun Lee, Sanghoon Lee, Jaewoo Kang

Comments 22 pages, 11 figures, 8 tables. Presented at NeurIPS 2024

Graph Classification Gaussian Processes via Hodgelet Spectral Features

Mathieu Alain, So Takao, Xiaowen Dong, Bastian Rieck, Emmanuel Noutahi

Comments NeurIPS 2024 Workshop on Bayesian Decision-Making and Uncertainty (Spotlight)

IncogniText: Privacy-enhancing Conditional Text Anonymization via LLM-based Private Attribute Randomization

Ahmed Frikha, Nassim Walha, Krishna Kanth Nakka, Ricardo Mendes, Xue Jiang, Xuebing Zhou

Comments Accepted at NeurIPS 2024 - Safe GenAI Workshop

Unelicitable Backdoors in Language Models via Cryptographic Transformer Circuits

Andis Draguns, Andrew Gritsevskiy, Sumeet Ramesh Motwani, Charlie Rogers-Smith, Jeffrey Ladish, Christian Schroeder de Witt

Comments 19 pages, 7 figures

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

Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning

Sergey Samsonov, Eric Moulines, Qi-Man Shao, Zhuo-Song Zhang, Alexey Naumov

Comments NeurIPS-2024, camera-ready version. Some typos fixed compared to the previous version

Marrying Causal Representation Learning with Dynamical Systems for Science

Dingling Yao, Caroline Muller, Francesco Locatello

Comments NeurIPS 2024 Camera Ready