Papers
Learning Representations in Model-Free Hierarchical Reinforcement Learning
Jacob Rafati, David C. Noelle
Learning Representations of Persistence Barcodes
Christoph D. Hofer, Roland Kwitt, Marc Niethammer
Learning Representations of Sets through Optimized Permutations
Yan Zhang, Jonathon Hare, Adam Prügel-Bennett
Learning Resolution-Invariant Deep Representations for Person Re-Identification
Yun-Chun Chen, Yu-Jhe Li, Xiaofei Du et al.
Learning Resource Allocation and Pricing for Cloud Profit Maximization
Bingqian Du, Chuan Wu, Zhiyi Huang
Learning Reward Functions by Integrating Human Demonstrations and Preferences
Malayandi Palan, Gleb Shevchuk, Nicholas Charles Landolfi et al.
Learning Reward Machines for Partially Observable Reinforcement Learning
Rodrigo Toro Icarte, Ethan Waldie, Toryn Klassen et al.
Learning Rhyming Constraints using Structured Adversaries
Harsh Jhamtani, Sanket Vaibhav Mehta, Jaime Carbonell et al.
Learning Rhyming Constraints using Structured Adversaries
Harsh Jhamtani, Sanket Vaibhav Mehta, Jaime Carbonell et al.
Learning Rich Features at High-Speed for Single-Shot Object Detection
Tiancai Wang, Rao Muhammad Anwer, Hisham Cholakkal et al.
Learning Robotic Manipulation through Visual Planning and Acting
Angelina Wang, Thanard Kurutach, Kara Liu et al.
Learning Robust Distance Metric with Side Information via Ratio Minimization of Orthogonally Constrained L21-Norm Distances
Kai Liu, Lodewijk Brand, Hua Wang et al.
Learning Robust Facial Landmark Detection via Hierarchical Structured Ensemble
Xu Zou, Sheng Zhong, Luxin Yan et al.
Learning Robust Global Representations by Penalizing Local Predictive Power
Haohan Wang, Songwei Ge, Zachary Lipton et al.
Learning Robust Options by Conditional Value at Risk Optimization
Takuya Hiraoka, Takahisa Imagawa, Tatsuya Mori et al.
Learning Robust Representations by Projecting Superficial Statistics Out
Haohan Wang, Zexue He, Zachary C. Lipton et al.
Learning RoI Transformer for Oriented Object Detection in Aerial Images
Jian Ding, Nan Xue, Yang Long et al.
Learning Rules-First Classifiers
Deborah Cohen, Amit Daniely, Amir Globerson et al.
Learning Sample-Specific Models with Low-Rank Personalized Regression
Ben Lengerich, Bryon Aragam, Eric P Xing
Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning
Valerio Perrone, Huibin Shen, Matthias W Seeger et al.
Learning Segmentation Masks with the Independence Prior
Songmin Dai, Xiaoqiang Li, Lu Wang et al.
Learning Self-Imitating Diverse Policies
Tanmay Gangwani, Qiang Liu, Jian Peng
Learning Semantic Annotations for Tabular Data
Jiaoyan Chen, Ernesto Jimenez-Ruiz, Ian Horrocks et al.
Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs
Bailin Wang, Ivan Titov, Mirella Lapata
Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs
Bailin Wang, Ivan Titov, Mirella Lapata