Papers
Understanding and Mitigating Copying in Diffusion Models
Gowthami Somepalli, Vasu Singla, Micah Goldblum et al.
Understanding Contrastive Learning via Distributionally Robust Optimization
Junkang Wu, Jiawei Chen, Jiancan Wu et al.
Understanding Deep Gradient Leakage via Inversion Influence Functions
Haobo Zhang, Junyuan Hong, Yuyang Deng et al.
Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation
Diederik Kingma, Ruiqi Gao
Understanding Few-Shot Learning: Measuring Task Relatedness and Adaptation Difficulty via Attributes
Minyang Hu, Hong Chang, Zong Guo et al.
Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization
Yan Sun, Li Shen, Dacheng Tao
Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers
Yiwei Lu, Yaoliang Yu, Xinlin Li et al.
Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL
Yang Yue, Rui Lu, Bingyi Kang et al.
Understanding Social Reasoning in Language Models with Language Models
Kanishk Gandhi, Jan-Philipp Fraenken, Tobias Gerstenberg et al.
Understanding the detrimental class-level effects of data augmentation
Polina Kirichenko, Mark Ibrahim, Randall Balestriero et al.
Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry
Yong-Hyun Park, Mingi Kwon, Jaewoong Choi et al.
Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions
Jun Xia, Lecheng Zhang, Xiao Zhu et al.
Undirected Probabilistic Model for Tensor Decomposition
Zerui Tao, Toshihisa Tanaka, Qibin Zhao
Unexpected Improvements to Expected Improvement for Bayesian Optimization
Sebastian Ament, Samuel Daulton, David Eriksson et al.
Uni3DETR: Unified 3D Detection Transformer
Zhenyu Wang, Ya-Li Li, Xi Chen et al.
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild
Can Qin, Shu Zhang, Ning Yu et al.
Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models
Shihao Zhao, Dongdong Chen, Yen-Chun Chen et al.
Unified 3D Segmenter As Prototypical Classifiers
Zheyun Qin, Cheng Han, Qifan Wang et al.
Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems
Benjamin Coleman, Wang-Cheng Kang, Matthew Fahrbach et al.
Unified Enhancement of Privacy Bounds for Mixture Mechanisms via $f$-Differential Privacy
Chendi Wang, Buxin Su, Jiayuan Ye et al.
Unified Lower Bounds for Interactive High-dimensional Estimation under Information Constraints
Jayadev Acharya, Clément L Canonne, Ziteng Sun et al.
Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective
Zeyu Zhang, Yi Su, Hui Yuan et al.
Unified Segment-to-Segment Framework for Simultaneous Sequence Generation
Shaolei Zhang, Yang Feng
Uniform Convergence with Square-Root Lipschitz Loss
Lijia Zhou, Zhen Dai, Frederic Koehler et al.