Papers
Unsupervised Learning of Group Invariant and Equivariant Representations
Robin Winter, Marco Bertolini, Tuan Le et al.
Unsupervised Learning of Shape Programs with Repeatable Implicit Parts
Boyang Deng, Sumith Kulal, Zhengyang Dong et al.
Unsupervised Learning under Latent Label Shift
Manley Roberts, Pranav Mani, Saurabh Garg et al.
Unsupervised Multi-Object Segmentation by Predicting Probable Motion Patterns
Laurynas Karazija, Subhabrata Choudhury, Iro Laina et al.
Unsupervised Multi-View Object Segmentation Using Radiance Field Propagation
Xinhang Liu, Jiaben Chen, Huai Yu et al.
Unsupervised Object Detection Pretraining with Joint Object Priors Generation and Detector Learning
Yizhou Wang, Meilin Chen, SHIXIANG TANG et al.
Unsupervised Object Representation Learning using Translation and Rotation Group Equivariant VAE
Alireza Nasiri, Tristan Bepler
Unsupervised Point Cloud Completion and Segmentation by Generative Adversarial Autoencoding Network
Changfeng Ma, Yang Yang, Jie Guo et al.
Unsupervised Reinforcement Learning with Contrastive Intrinsic Control
Michael Laskin, Hao Liu, Xue Bin Peng et al.
Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Models
Zijian Zhang, Zhou Zhao, Zhijie Lin
Unsupervised Skill Discovery via Recurrent Skill Training
Zheyuan Jiang, Jingyue Gao, Jianyu Chen
Unsupervised Visual Representation Learning via Mutual Information Regularized Assignment
Dong Hoon Lee, Sungik Choi, Hyunwoo J Kim et al.
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection
Yiming Li, Yang Bai, Yong Jiang et al.
Uplifting Bandits
Yu-Guan Hsieh, Shiva P. Kasiviswanathan, Branislav Kveton
UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs
Philipp Oberdiek, Gernot Fink, Matthias Rottmann
USB: A Unified Semi-supervised Learning Benchmark for Classification
Yidong Wang, Hao Chen, Yue Fan et al.
Use-Case-Grounded Simulations for Explanation Evaluation
Valerie Chen, Nari Johnson, Nicholay Topin et al.
Using Embeddings for Causal Estimation of Peer Influence in Social Networks
Irina Cristali, Victor Veitch
Using Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-of-Distribution Robustness
Francesco Pinto, Harry Yang, Ser Nam Lim et al.
Using natural language and program abstractions to instill human inductive biases in machines
Sreejan Kumar, Carlos G. Correa, Ishita Dasgupta et al.
Using Partial Monotonicity in Submodular Maximization
Loay Mualem, Moran Feldman
UViM: A Unified Modeling Approach for Vision with Learned Guiding Codes
Alexander Kolesnikov, André Susano Pinto, Lucas Beyer et al.
VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming
Eleonora Misino, Giuseppe Marra, Emanuele Sansone
VaiPhy: a Variational Inference Based Algorithm for Phylogeny
Hazal Koptagel, Oskar Kviman, Harald Melin et al.
Value Function Decomposition for Iterative Design of Reinforcement Learning Agents
James MacGlashan, Evan Archer, Alisa Devlic et al.