Papers
Learning to Optimize in Swarms
Yue Cao, Tianlong Chen, Zhangyang Wang et al.
Learning to Optimize Multigrid PDE Solvers
Daniel Greenfeld, Meirav Galun, Ronen Basri et al.
Learning to Optimize under Non-Stationarity
Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu
Learning to Order Graph Elements with Application to Multilingual Surface Realization
Wenchao Du, Alan W Black
Learning to Paint With Model-Based Deep Reinforcement Learning
Zhewei Huang, Wen Heng, Shuchang Zhou
Learning to Perform Local Rewriting for Combinatorial Optimization
Xinyun Chen, Yuandong Tian
Learning Topic Models by Neighborhood Aggregation
Ryohei Hisano
Learning to Plan with Logical Automata
Brandon Araki, Kiran Vodrahalli, Thomas Leech et al.
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer
Wenzheng Chen, Huan Ling, Jun Gao et al.
Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis
Xihui Liu, Guojun Yin, Jing Shao et al.
Learning to Predict Novel Noun-Noun Compounds
Prajit Dhar, Lonneke van der Plas
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction
Daniel Freeman, David Ha, Luke Metz
Learning to Propagate for Graph Meta-Learning
LU LIU, Tianyi Zhou, Guodong Long et al.
LEARNING TO PROPAGATE LABELS: TRANSDUCTIVE PROPAGATION NETWORK FOR FEW-SHOT LEARNING
Yanbin Liu, Juho Lee, Minseop Park et al.
Learning to Prove Theorems via Interacting with Proof Assistants
Kaiyu Yang, Jia Deng
Learning to Prune: Speeding up Repeated Computations
Daniel Alabi, Adam Tauman Kalai, Katrina Liggett et al.
Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss
Sangil Jung, Changyong Son, Seohyung Lee et al.
Learning to Rank for Plausible Plausibility
Zhongyang Li, Tongfei Chen, Benjamin Van Durme
Learning to Rank Proposals for Object Detection
Zhiyu Tan, Xuecheng Nie, Qi Qian et al.
Learning to Reconstruct 3D Human Pose and Shape via Model-Fitting in the Loop
Nikos Kolotouros, Georgios Pavlakos, Michael J. Black et al.
Learning to Reconstruct 3D Manhattan Wireframes From a Single Image
Yichao Zhou, Haozhi Qi, Yuexiang Zhai et al.
Learning to Reconstruct People in Clothing From a Single RGB Camera
Thiemo Alldieck, Marcus Magnor, Bharat Lal Bhatnagar et al.
Learning to Reduce Dual-Level Discrepancy for Infrared-Visible Person Re-Identification
Zhixiang Wang, Zheng Wang, Yinqiang Zheng et al.
Learning to Regress 3D Face Shape and Expression From an Image Without 3D Supervision
Soubhik Sanyal, Timo Bolkart, Haiwen Feng et al.
Learning to Relate from Captions and Bounding Boxes
Sarthak Garg, Joel Ruben Antony Moniz, Anshu Aviral et al.