NeurIPS, the Conference on Neural Information Processing Systems, is one of the most prestigious conferences in artificial intelligence (AI), held each year in December. This year, Computer Sciences department faculty at the University of Wisconsin-Madison had 29 papers accepted by the conference, showing how the department is shaping research in the field. Congratulations to all faculty members with papers in NeurIPS and their collaborators for doing this important research in one of the most impactful fields of computer science!
Papers are listed in alphabetical order. UW-Madison faculty are indicated with an asterisk:
- Active Learning of General Halfspaces: Label Queries vs Membership Queries
Ilias Diakonikolas*, Daniel Kane, Mingchen Ma - Adaptive Exploration for Data-Efficient General Value Function Evaluations
Arushi Jain, Josiah Hanna*, Doina Precup - AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases
Zhaorun Chen, Zhen Xiang, Chaowei Xiao*, Dawn Song, Bo Li - AHA: Human-Assisted Out-of-Distribution Generalization and Detection
Haoyue Bai, Jifan Zhang, Robert Nowak* - The ALCHEmist: Automated Labeling 500x CHEaper than LLM Data Annotators
Tzu-Heng Huang, Catherine Cao, Vaishnavi Bhargava, Frederic Sala* - BackdoorAlign: Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment
Jiongxiao Wang, Jiazhao LI, Yiquan Li, Xiangyu Qi, Junjie Hu*, Sharon Li*, Patrick McDaniel*, Muhao Chen, Bo Li, Chaowei Xiao* - Bridging OOD Detection and Generalization: A Graph-Theoretic View
Han Wang, Sharon Li* - The Collusion of Memory and Nonlinearity in Stochastic Approximation With Constant Stepsize
Dongyan Lucy Huo, Yixuan Zhang, Yudong Chen*, Qiaomin Xie - Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness
Yiquan Li, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Jiachen Lei, Bo Li, Chaowei Xiao* - Drago: Primal-Dual Coupled Variance Reduction for Faster Distributionally Robust Optimization
Ronak Mehta, Jelena Diakonikolas*, Zaid Harchaoui - HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection
Xuefeng Du, Chaowei Xiao*, Sharon Li* - Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoons
Jifan Zhang, Lalit Jain, Yang Guo, Jiayi Chen, Kuan Zhou, Siddharth Suresh, Andrew Wagenmaker, Scott Sievert, Timothy T Rogers, Kevin Jamieson, Bob Mankoff, Robert Nowak* - Interfacing Foundation Models’ Embeddings
Xueyan Zou, Linjie Li, Jianfeng Wang, Jianwei Yang, Mingyu Ding, Junyi Wei, Zhengyuan Yang, Feng Li, Hao Zhang, Shilong Liu, Arul Aravinthan, Yong Jae Lee*, Lijuan Wang - Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models
Jiayu Wang, Yifei Ming, Zhenmei Shi, Vibhav Vineet, Xin Wang, Sharon Li*, Neel Joshi - Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise
Shuyao Li, Sushrut Karmalkar, Ilias Diakonikolas*, Jelena Diakonikolas* - Learning to Price Homogeneous Data
Keran Chen, Joon Suk Huh, Kirthevasan Kandasamy* - The Limits of Transfer Reinforcement Learning with Latent Low-rank Structure
Tyler Sam, Yudong Chen*, Christina Yu - A Near-optimal Algorithm for Learning Margin Halfspaces with Massart Noise
Ilias Diakonikolas*, Nikos Zarifis - A New Neural Kernal Regime: The Inductive Bias of Multi-Task Learning
Julia Nakhleh, Joseph Shenouda, Robert Nowak* - On the Complexity of Teaching a Family of Linear Behavior Cloning Learners
Shubham Bharti, Stephen Wright*, Adish Singla, Jerry Zhu* - OTTER: Effortless Label Distribution Adaptation of Zero-shot Models
Changho Shin, Jitian Zhao, Sonia Cromp, Harit Vishwakarma, Frederic Sala* - Pearls from Pebbles: Improved Confidence Functions for Auto-labeling
Harit Vishwakarma, Yi Chen, Sui Jiet Tay, Satya Sai Srinath Namburi, Frederic Sala*, Ramya Korlakai Vinayak* - Reliable Learning of Halfspaces under Gaussian Marginals
Ilias Diakonikolas*, Lisheng Ren, Nikos Zarifis - Sample and Computationally Efficient Robust Learning of Gaussian Single-Index Models
Puqian Wang, Nikos Zarifis, Ilias Diakonikolas*, Jelena Diakonikolas* - Span-Based Optimal Sample Complexity for Weakly Communicating and General Average Reward MDPs
Matthew Zurek, Yudong Chen* - Stronger Than You Think: Benchmarking Weak Supervision on Realistic Tasks
Tianyi Zhang, Linrong Cai, Jeffrey Li, Nicholas Roberts, Neel Guha, Frederic Sala* -
Tighter Convergence Bounds for Shuffled SGD via Primal-Dual Perspective
Xufeng Cai, Cheuk Yin Lin, Jelena Diakonikolas* - Variation Spaces for Multi-Output Neural Networks: Insights on Multi-Task Learning and Network Compression
Joseph Shenouda, Rahul Parhi, Kangwook Lee*, Robert Nowak* - Yo’LLaVA: Your Personalized Language and Vision Assistant
Thao Nguyen, Haotian Liu, Yuheng Li, Mu Cai, Utkarsh Ojha, Yong Jae Lee*