Papers
Learning Neural Parsers with Deterministic Differentiable Imitation Learning
Tanmay Shankar, Nicholas Rhinehart, Katharina Muelling et al.
Learning Neural Representation for CLIR with Adversarial Framework
Bo Li, Ping Cheng
Learning Neural Templates for Text Generation
Sam Wiseman, Stuart Shieber, Alexander Rush
Learning Non-parametric Markov Networks with Mutual Information
Janne Leppä-Aho, Santeri Räisänen, Xiao Yang et al.
Learning One Convolutional Layer with Overlapping Patches
Surbhi Goel, Adam Klivans, Raghu Meka
Learning One-hidden-layer Neural Networks with Landscape Design
Rong Ge, Jason D. Lee, Tengyu Ma
Learning Optimal Causal Graphs with Exact Search
Kari Rantanen, Antti Hyttinen, Matti Järvisalo
Learning Optimal Decision Trees with SAT
Nina Narodytska, Alexey Ignatiev, Filipe Pereira et al.
Learning Optimal Reserve Price against Non-myopic Bidders
Jinyan Liu, Zhiyi Huang, Xiangning Wang
Learning Others' Intentional Models in Multi-Agent Settings Using Interactive POMDPs
Yanlin Han, Piotr Gmytrasiewicz
Learning Out-of-Vocabulary Words in Intelligent Personal Agents
Avik Ray, Yilin Shen, Hongxia Jin
Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data
Yuanzhi Li, Yingyu Liang
Learning over Subgoals for Efficient Navigation of Structured, Unknown Environments
Gregory J. Stein, Christopher Bradley, Nicholas Roy
Learning Parametric Closed-Loop Policies for Markov Potential Games
Sergio Valcarcel Macua, Javier Zazo, Santiago Zazo
Learning Patch Reconstructability for Accelerating Multi-View Stereo
Alex Poms, Chenglei Wu, Shoou-I Yu et al.
Learning Patterns for Detection with Multiscale Scan Statistics
James Sharpnack
Learning Personas from Dialogue with Attentive Memory Networks
Eric Chu, Prashanth Vijayaraghavan, Deb Roy
Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems
Mrinmaya Sachan, Kumar Avinava Dubey, Tom M. Mitchell et al.
Learning Plannable Representations with Causal InfoGAN
Thanard Kurutach, Aviv Tamar, Ge Yang et al.
Learning Policy Representations in Multiagent Systems
Aditya Grover, Maruan Al-Shedivat, Jayesh Gupta et al.
Learning Portable Symbolic Representations
Steven James
Learning Pose Specific Representations by Predicting Different Views
Georg Poier, David Schinagl, Horst Bischof
Learning Priors for Invariance
Eric Nalisnick, Padhraic Smyth
Learning Prototypical Goal Activities for Locations
Tianyu Jiang, Ellen Riloff