UW–Madison faculty makes impressive showing at NeurIPS 2024
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*