Papers
11,015 papers found
Learning Efficient Parameter Server Synchronization Policies for Distributed SGD
Rong Zhu, Sheng Yang, Andreas Pfadler et al.
LEARNING EXECUTION THROUGH NEURAL CODE FUSION
Zhan Shi, Kevin Swersky, Daniel Tarlow et al.
Learning Expensive Coordination: An Event-Based Deep RL Approach
Zhenyu Shi*, Runsheng Yu*, Xinrun Wang* et al.
Learning from Explanations with Neural Execution Tree
Ziqi Wang*, Yujia Qin*, Wenxuan Zhou et al.
Learning from Rules Generalizing Labeled Exemplars
Abhijeet Awasthi, Sabyasachi Ghosh, Rasna Goyal et al.
Learning from Unlabelled Videos Using Contrastive Predictive Neural 3D Mapping
Adam W. Harley, Shrinidhi K. Lakshmikanth, Fangyu Li et al.
Learning Heuristics for Quantified Boolean Formulas through Reinforcement Learning
Gil Lederman, Markus Rabe, Sanjit Seshia et al.
Learning Hierarchical Discrete Linguistic Units from Visually-Grounded Speech
David Harwath*, Wei-Ning Hsu*, James Glass
Learning Nearly Decomposable Value Functions Via Communication Minimization
Tonghan Wang*, Jianhao Wang*, Chongyi Zheng et al.
Learning Robust Representations via Multi-View Information Bottleneck
Marco Federici, Anjan Dutta, Patrick Forré et al.
Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling
Yuping Luo, Huazhe Xu, Tengyu Ma
Learning Space Partitions for Nearest Neighbor Search
Yihe Dong, Piotr Indyk, Ilya Razenshteyn et al.
Learning the Arrow of Time for Problems in Reinforcement Learning
Nasim Rahaman, Steffen Wolf, Anirudh Goyal et al.
Learning The Difference That Makes A Difference With Counterfactually-Augmented Data
Divyansh Kaushik, Eduard Hovy, Zachary Lipton
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks
Hae Beom Lee, Hayeon Lee, Donghyun Na et al.
Learning to Control PDEs with Differentiable Physics
Philipp Holl, Nils Thuerey, Vladlen Koltun
Learning to Coordinate Manipulation Skills via Skill Behavior Diversification
Youngwoon Lee, Jingyun Yang, Joseph J. Lim
Learning To Explore Using Active Neural SLAM
Devendra Singh Chaplot, Dhiraj Gandhi, Saurabh Gupta et al.
Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories
Tiange Luo, Kaichun Mo, Zhiao Huang et al.
Learning to Guide Random Search
Ozan Sener, Vladlen Koltun
Learning to Learn by Zeroth-Order Oracle
Yangjun Ruan, Yuanhao Xiong, Sashank Reddi et al.
Learning to Link
Maria-Florina Balcan, Travis Dick, Manuel Lang
Learning to Move with Affordance Maps
William Qi, Ravi Teja Mullapudi, Saurabh Gupta et al.
Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees
Binghong Chen, Bo Dai, Qinjie Lin et al.