Papers
Learning 1D Causal Visual Representation with De-focus Attention Networks
Chenxin Tao, Xizhou Zhu, Shiqian Su et al.
Learning 3D Equivariant Implicit Function with Patch-Level Pose-Invariant Representation
Xin Hu, Xiaole Tang, Ruixuan Yu et al.
Learning 3D Garment Animation from Trajectories of A Piece of Cloth
Yidi Shao, Chen Change Loy, Bo Dai
Learning Action and Reasoning-Centric Image Editing from Videos and Simulation
Benno Krojer, Dheeraj Vattikonda, Luis Lara et al.
Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training
Haoran He, Chenjia Bai, Ling Pan et al.
Learning and Transferring Sparse Contextual Bigrams with Linear Transformers
Yunwei Ren, Zixuan Wang, Jason D. Lee
Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise
Shuyao Li, Sushrut Karmalkar, Ilias Diakonikolas et al.
Learning-Augmented Algorithms for the Bahncard Problem
Hailiang Zhao, Xueyan Tang, Peng Chen et al.
Learning-Augmented Algorithms with Explicit Predictors
Marek Eliáš, Haim Kaplan, Yishay Mansour et al.
Learning-Augmented Approximation Algorithms for Maximum Cut and Related Problems
Vincent Cohen-Addad, Tommaso d'Orsi, Anupam Gupta et al.
Learning-Augmented Dynamic Submodular Maximization
Arpit Agarwal, Eric Balkanski
Learning-Augmented Priority Queues
Ziyad Benomar, Christian Coester
Learning Better Representations From Less Data For Propositional Satisfiability
Mohamed Ghanem, Frederik Schmitt, Julian Siber et al.
Learning Bregman Divergences with Application to Robustness
Mohamed-Hicham Leghettas, Markus Püschel
Learning Commonality, Divergence and Variety for Unsupervised Visible-Infrared Person Re-identification
Jiangming Shi, Xiangbo Yin, Yachao Zhang et al.
Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure
Bozhen Hu, Cheng Tan, Jun Xia et al.
Learning Cooperative Trajectory Representations for Motion Forecasting
Hongzhi Ruan, Haibao Yu, Wenxian Yang et al.
Learning Cortico-Muscular Dependence through Orthonormal Decomposition of Density Ratios
Shihan Ma, Bo Hu, Tianyu Jia et al.
Learning Cut Generating Functions for Integer Programming
Hongyu Cheng, Amitabh Basu
Learning De-Biased Representations for Remote-Sensing Imagery
Zichen Tian, Zhaozheng Chen, Qianru Sun
Learning diffusion at lightspeed
Antonio Terpin, Nicolas Lanzetti, Martín Gadea et al.
Learning Diffusion Priors from Observations by Expectation Maximization
François Rozet, Gérôme Andry, François Lanusse et al.
Learning Discrete Concepts in Latent Hierarchical Models
Lingjing Kong, Guangyi Chen, Biwei Huang et al.
Learning Discrete Latent Variable Structures with Tensor Rank Conditions
Zhengming Chen, Ruichu Cai, Feng Xie et al.