Papers
Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems
Wang Ling, Dani Yogatama, Chris Dyer et al.
Neural AMR: Sequence-to-Sequence Models for Parsing and Generation
Ioannis Konstas, Srinivasan Iyer, Mark Yatskar et al.
Deep Neural Machine Translation with Linear Associative Unit
Mingxuan Wang, Zhengdong Lu, Jie Zhou et al.
A Convolutional Encoder Model for Neural Machine Translation
Jonas Gehring, Michael Auli, David Grangier et al.
Discourse Mode Identification in Essays
Wei Song, Dong Wang, Ruiji Fu et al.
Generating and Exploiting Large-scale Pseudo Training Data for Zero Pronoun Resolution
Ting Liu, Yiming Cui, Qingyu Yin et al.
Joint Learning for Event Coreference Resolution
Jing Lu, Vincent Ng
The State of the Art in Semantic Representation
Omri Abend, Ari Rappoport
Skip-Gram − Zipf + Uniform = Vector Additivity
Alex Gittens, Dimitris Achlioptas, Michael W. Mahoney
Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules
Ivan Vulić, Nikola Mrkšić, Roi Reichart et al.
Learning Structured Natural Language Representations for Semantic Parsing
Jianpeng Cheng, Siva Reddy, Vijay Saraswat et al.
Neural Relation Extraction with Multi-lingual Attention
Yankai Lin, Zhiyuan Liu, Maosong Sun
Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision
Chen Liang, Jonathan Berant, Quoc Le et al.
Neural End-to-End Learning for Computational Argumentation Mining
Steffen Eger, Johannes Daxenberger, Iryna Gurevych
Adversarial Multi-task Learning for Text Classification
Pengfei Liu, Xipeng Qiu, Xuanjing Huang
Harvesting Common-sense Navigational Knowledge for Robotics from Uncurated Text Corpora
Nancy Fulda, Nathan Tibbetts, Zachary Brown et al.
Learning Deep Policies for Robot Bin Picking by Simulating Robust Grasping Sequences
Jeffrey Mahler, Ken Goldberg
Gradient-free Policy Architecture Search and Adaptation
Sayna Ebrahimi, Anna Rohrbach, Trevor Darrell
Fastron: An Online Learning-Based Model and Active Learning Strategy for Proxy Collision Detection
Nikhil Das, Naman Gupta, Michael Yip
Reverse Curriculum Generation for Reinforcement Learning
Carlos Florensa, David Held, Markus Wulfmeier et al.
Learning Dynamics Across Similar Spatiotemporally-Evolving Physical Systems
Joshua Whitman, Girish Chowdhary
Bayesian Hilbert Maps for Dynamic Continuous Occupancy Mapping
Ransalu Senanayake, Fabio Ramos
Learning Human Utility from Video Demonstrations for Deductive Planning in Robotics
Nishant Shukla, Yunzhong He, Frank Chen et al.
Extending Model-based Policy Gradients for Robots in Heteroscedastic Environments
John Martin, Brendan Englot
DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations
Sanjay Krishnan, Roy Fox, Ion Stoica et al.