Papers
The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures
Sheshera Mysore, Zachary Jensen, Edward Kim et al.
The Meaning of “Most” for Visual Question Answering Models
Alexander Kuhnle, Ann Copestake
The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records
Linying Zhang, Yixin Wang, Anna Ostropolets et al.
The MLLP-UPV Spanish-Portuguese and Portuguese-Spanish Machine Translation Systems for WMT19 Similar Language Translation Task
Pau Baquero-Arnal, Javier Iranzo-Sánchez, Jorge Civera et al.
The MLLP-UPV Supervised Machine Translation Systems for WMT19 News Translation Task
Javier Iranzo-Sánchez, Gonçal V. Garcés Díaz-Munío, Jorge Civera et al.
The Monophthongs of Formal Nigerian English: An Acoustic Analysis
Nisad Jamakovic, Robert Fuchs
The MuCoW Test Suite at WMT 2019: Automatically Harvested Multilingual Contrastive Word Sense Disambiguation Test Sets for Machine Translation
Alessandro Raganato, Yves Scherrer, Jörg Tiedemann
The Myth of Double-Blind Review Revisited: ACL vs. EMNLP
Cornelia Caragea, Ana Uban, Liviu P. Dinu
The Myth of Double-Blind Review Revisited: ACL vs. EMNLP
Cornelia Caragea, Ana Uban, Liviu P. Dinu
The Natural Language of Actions
Guy Tennenholtz, Shie Mannor
The NEC-TT 2018 Speaker Verification System
Kong Aik Lee, Hitoshi Yamamoto, Koji Okabe et al.
The Neural Correlates Underlying Lexically-Guided Perceptual Learning
Odette Scharenborg, Jiska Koemans, Cybelle Smith et al.
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision
Jiayuan Mao, Chuang Gan, Pushmeet Kohli et al.
The NiuTrans Machine Translation Systems for WMT19
Bei Li, Yinqiao Li, Chen Xu et al.
The non-parametric bootstrap and spectral analysis in moderate and high-dimension
Noureddine El Karoui, Elizabeth Purdom
The (Non-)Utility of Structural Features in BiLSTM-based Dependency Parsers
Agnieszka Falenska, Jonas Kuhn
The Normalization Method for Alleviating Pathological Sharpness in Wide Neural Networks
Ryo Karakida, Shotaro Akaho, Shun-ichi Amari
The Odds are Odd: A Statistical Test for Detecting Adversarial Examples
Kevin Roth, Yannic Kilcher, Thomas Hofmann
The Optimal Approximation Factor in Density Estimation
Olivier Bousquet, Daniel Kane, Shay Moran
The Option Keyboard: Combining Skills in Reinforcement Learning
Andre Barreto, Diana Borsa, Shaobo Hou et al.
Theoretical Analysis of Adversarial Learning: A Minimax Approach
Zhuozhuo Tu, Jingwei Zhang, Dacheng Tao
Theoretical Analysis of Auto Rate-Tuning by Batch Normalization
Sanjeev Arora, Zhiyuan Li, Kaifeng Lyu
Theoretical Analysis of Efficiency and Robustness of Softmax and Gap-Increasing Operators in Reinforcement Learning
Tadashi Kozuno, Eiji Uchibe, Kenji Doya
Theoretical Analysis of Label Distribution Learning
Jing Wang, Xin Geng