Papers
Identifiability of Label Noise Transition Matrix
Yang Liu, Hao Cheng, Kun Zhang
Identification of the Adversary from a Single Adversarial Example
Minhao Cheng, Rui Min, Haochen Sun et al.
Identifying Interpretable Subspaces in Image Representations
Neha Kalibhat, Shweta Bhardwaj, C. Bayan Bruss et al.
Identifying Useful Learnwares for Heterogeneous Label Spaces
Lan-Zhe Guo, Zhi Zhou, Yu-Feng Li et al.
ILLUME: Rationalizing Vision-Language Models through Human Interactions
Manuel Brack, Patrick Schramowski, Björn Deiseroth et al.
Image generation with shortest path diffusion
Ayan Das, Stathi Fotiadis, Anil Batra et al.
Image Restoration with Mean-Reverting Stochastic Differential Equations
Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao et al.
Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression
Zhuoran Liu, Zhengyu Zhao, Martha Larson
Implicit Graph Neural Networks: A Monotone Operator Viewpoint
Justin Baker, Qingsong Wang, Cory D Hauck et al.
Implicit Jacobian regularization weighted with impurity of probability output
Sungyoon Lee, Jinseong Park, Jaewook Lee
Implicit Neural Spatial Representations for Time-dependent PDEs
Honglin Chen, Rundi Wu, Eitan Grinspun et al.
Importance Weighted Expectation-Maximization for Protein Sequence Design
Zhenqiao Song, Lei Li
Improved Active Multi-Task Representation Learning via Lasso
Yiping Wang, Yifang Chen, Kevin Jamieson et al.
Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit Feedback
Wonyoung Kim, Garud Iyengar, Assaf Zeevi
Improved Algorithms for White-Box Adversarial Streams
Ying Feng, David Woodruff
Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions
Hongrui Chen, Holden Lee, Jianfeng Lu
Improved Learning-Augmented Algorithms for the Multi-Option Ski Rental Problem via Best-Possible Competitive Analysis
Yongho Shin, Changyeol Lee, Gukryeol Lee et al.
Improved Online Conformal Prediction via Strongly Adaptive Online Learning
Aadyot Bhatnagar, Huan Wang, Caiming Xiong et al.
Improved Online Learning Algorithms for CTR Prediction in Ad Auctions
Zhe Feng, Christopher Liaw, Zixin Zhou
Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation
Aditya Mate, Bryan Wilder, Aparna Taneja et al.
Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation
Uri Sherman, Tomer Koren, Yishay Mansour
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs
Kaiwen Zheng, Cheng Lu, Jianfei Chen et al.
Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples
Dongyoon Yang, Insung Kong, Yongdai Kim
Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics
Zonghan Yang, Peng Li, Tianyu Pang et al.