Papers
Universal Function Approximation on Graphs
Rickard Brüel Gabrielsson
Universal guarantees for decision tree induction via a higher-order splitting criterion
Guy Blanc, Neha Gupta, Jane Lange et al.
Universally Quantized Neural Compression
Eirikur Agustsson, Lucas Theis
UnModNet: Learning to Unwrap a Modulo Image for High Dynamic Range Imaging
Chu Zhou, Hang Zhao, Jin Han et al.
Unreasonable Effectiveness of Greedy Algorithms in Multi-Armed Bandit with Many Arms
Mohsen Bayati, Nima Hamidi, Ramesh Johari et al.
Unsupervised Data Augmentation for Consistency Training
Qizhe Xie, Zihang Dai, Eduard Hovy et al.
Unsupervised Joint k-node Graph Representations with Compositional Energy-Based Models
Leonardo Cotta, Carlos H. C. Teixeira, Ananthram Swami et al.
Unsupervised Learning of Dense Visual Representations
Pedro O O. Pinheiro, Amjad Almahairi, Ryan Benmalek et al.
Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control
Yaofeng Desmond Zhong, Naomi Leonard
Unsupervised Learning of Object Landmarks via Self-Training Correspondence
Dimitrios Mallis, Enrique Sanchez, Matthew Bell et al.
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron, Ishan Misra, Julien Mairal et al.
Unsupervised object-centric video generation and decomposition in 3D
Paul Henderson, Christoph H. Lampert
Unsupervised Representation Learning by Invariance Propagation
Feng Wang, Huaping Liu, Di Guo et al.
Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning
Tao Han, Junyu Gao, Yuan Yuan et al.
Unsupervised Sound Separation Using Mixture Invariant Training
Scott Wisdom, Efthymios Tzinis, Hakan Erdogan et al.
Unsupervised Text Generation by Learning from Search
Jingjing Li, Zichao Li, Lili Mou et al.
Unsupervised Translation of Programming Languages
Baptiste Roziere, Marie-Anne Lachaux, Lowik Chanussot et al.
Untangling tradeoffs between recurrence and self-attention in artificial neural networks
Giancarlo Kerg, Bhargav Kanuparthi, Anirudh Goyal ALIAS PARTH GOYAL et al.
Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss
Shuang Qiu, Xiaohan Wei, Zhuoran Yang et al.
User-Dependent Neural Sequence Models for Continuous-Time Event Data
Alex Boyd, Robert Bamler, Stephan Mandt et al.
Using noise to probe recurrent neural network structure and prune synapses
Eli Moore, Rishidev Chaudhuri
UWSOD: Toward Fully-Supervised-Level Capacity Weakly Supervised Object Detection
Yunhang Shen, Rongrong Ji, Zhiwei Chen et al.
VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data
Chao Ma, Sebastian Tschiatschek, Richard Turner et al.
Value-driven Hindsight Modelling
Arthur Guez, Fabio Viola, Theophane Weber et al.
VarGrad: A Low-Variance Gradient Estimator for Variational Inference
Lorenz Richter, Ayman Boustati, Nikolas Nüsken et al.