Papers
Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks
Ekaterina Tolstaya, Fernando Gama, James Paulos et al.
Learning Deep Bilinear Transformation for Fine-grained Image Representation
Heliang Zheng, Jianlong Fu, Zheng-Jun Zha et al.
Learning Deep Decentralized Policy Network by Collective Rewards for Real-Time Combat Game
Peixi Peng, Junliang Xing, Lili Cao et al.
Learning deep kernels for exponential family densities
Li Wenliang, Danica J. Sutherland, Heiko Strathmann et al.
Learning Deep Priors for Image Dehazing
Yang Liu, Jinshan Pan, Jimmy Ren et al.
Learning deep representations by mutual information estimation and maximization
R Devon Hjelm, Alex Fedorov, Samuel Lavoie-Marchildon et al.
Learning Deep Stochastic Optimal Control Policies Using Forward-Backward SDEs
Ziyi Wang, Marcus Pereira, Ioannis Exarchos et al.
Learning Deep Transformer Models for Machine Translation
Qiang Wang, Bei Li, Tong Xiao et al.
Learning Dense Representations for Entity Retrieval
Daniel Gillick, Sayali Kulkarni, Larry Lansing et al.
Learning Dependency Structures for Weak Supervision Models
Paroma Varma, Frederic Sala, Ann He et al.
Learning Description Logic Concepts: When can Positive and Negative Examples be Separated?
Maurice Funk, Jean Christoph Jung, Carsten Lutz et al.
Learning Determinantal Point Processes by Corrective Negative Sampling
Zelda Mariet, Mike Gartrell, Suvrit Sra
Learning Deterministic Weighted Automata with Queries and Counterexamples
Gail Weiss, Yoav Goldberg, Eran Yahav
Learning Deviation Payoffs in Simulation-Based Games
Samuel Sokota, Caleb Ho, Bryce Wiedenbeck
Learning Diffusions without Timestamps
Hao Huang, Qian Yan, Ting Gan et al.
Learning Discrete and Continuous Factors of Data via Alternating Disentanglement
Yeonwoo Jeong, Hyun Oh Song
Learning Discrete Structures for Graph Neural Networks
Luca Franceschi, Mathias Niepert, Massimiliano Pontil et al.
Learning Discriminative Model Prediction for Tracking
Goutam Bhat, Martin Danelljan, Luc Van Gool et al.
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 Disentangled Representation with Pairwise Independence
Zejian Li, Yongchuan Tang, Wei Li et al.
Learning Disentangled Semantic Representation for Domain Adaptation
Ruichu Cai, Zijian Li, Pengfei Wei et al.
Learning Distance for Sequences by Learning a Ground Metric
Bing Su, Ying Wu
Learning Distributions Generated by One-Layer ReLU Networks
Shanshan Wu, Alexandros G Dimakis, Sujay Sanghavi
Learning Diverse Bayesian Networks
Cong Chen, Changhe Yuan