Papers
Learn, Imagine and Create: Text-to-Image Generation from Prior Knowledge
Tingting Qiao, Jing Zhang, Duanqing Xu et al.
Learning about an exponential amount of conditional distributions
Mohamed Belghazi, Maxime Oquab, David Lopez-Paz
Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers
Zeyuan Allen-Zhu, Yuanzhi Li, Yingyu Liang
Learning Auctions with Robust Incentive Guarantees
Jacob D. Abernethy, Rachel Cummings, Bhuvesh Kumar et al.
Learning-Based Low-Rank Approximations
Piotr Indyk, Ali Vakilian, Yang Yuan
Learning Bayesian Networks with Low Rank Conditional Probability Tables
Adarsh Barik, Jean Honorio
Learning by Abstraction: The Neural State Machine
Drew Hudson, Christopher D. Manning
Learning Compositional Neural Programs with Recursive Tree Search and Planning
Thomas PIERROT, Guillaume Ligner, Scott E Reed et al.
Learning Conditional Deformable Templates with Convolutional Networks
Adrian Dalca, Marianne Rakic, John Guttag et al.
Learning Data Manipulation for Augmentation and Weighting
Zhiting Hu, Bowen Tan, Ruslan Salakhutdinov et al.
Learning Deep Bilinear Transformation for Fine-grained Image Representation
Heliang Zheng, Jianlong Fu, Zheng-Jun Zha et al.
Learning Deterministic Weighted Automata with Queries and Counterexamples
Gail Weiss, Yoav Goldberg, Eran Yahav
Learning Disentangled Representation for Robust Person Re-identification
Chanho Eom, Bumsub Ham
Learning Disentangled Representations for Recommendation
Jianxin Ma, Chang Zhou, Peng Cui et al.
Learning Distributions Generated by One-Layer ReLU Networks
Shanshan Wu, Alexandros G Dimakis, Sujay Sanghavi
Learning dynamic polynomial proofs
Alhussein Fawzi, Mateusz Malinowski, Hamza Fawzi et al.
Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning
Wonjae Kim, Yoonho Lee
Learning elementary structures for 3D shape generation and matching
Theo Deprelle, Thibault Groueix, Matthew Fisher et al.
Learning Erdos-Renyi Random Graphs via Edge Detecting Queries
Zihan Li, Matthias Fresacher, Jonathan Scarlett
Learning Fairness in Multi-Agent Systems
Jiechuan Jiang, Zongqing Lu
Learning from Bad Data via Generation
Tianyu Guo, Chang Xu, Boxin Shi et al.
Learning from brains how to regularize machines
Zhe Li, Wieland Brendel, Edgar Walker et al.
Learning from Label Proportions with Generative Adversarial Networks
Jiabin Liu, Bo Wang, Zhiquan Qi et al.
Learning from Trajectories via Subgoal Discovery
Sujoy Paul, Jeroen Vanbaar, Amit Roy-Chowdhury
Learning GANs and Ensembles Using Discrepancy
Ben Adlam, Corinna Cortes, Mehryar Mohri et al.