Papers
Discourse Analysis and Its Applications
Shafiq Joty, Giuseppe Carenini, Raymond Ng et al.
Discourse-Aware Semantic Self-Attention for Narrative Reading Comprehension
Todor Mihaylov, Anette Frank
Discourse-Aware Semantic Self-Attention for Narrative Reading Comprehension
Todor Mihaylov, Anette Frank
Discourse Representation Parsing for Sentences and Documents
Jiangming Liu, Shay B. Cohen, Mirella Lapata
Discovering Conditionally Salient Features with Statistical Guarantees
Jaime Roquero Gimenez, James Zou
Discovering Context Effects from Raw Choice Data
Arjun Seshadri, Alex Peysakhovich, Johan Ugander
Discovering Dialog Rules by Means of an Evolutionary Approach
David Griol, Zoraida Callejas
Discovering Fair Representations in the Data Domain
Novi Quadrianto, Viktoriia Sharmanska, Oliver Thomas
Discovering Latent Covariance Structures for Multiple Time Series
Anh Tong, Jaesik Choi
Discovering Neural Wirings
Mitchell Wortsman, Ali Farhadi, Mohammad Rastegari
Discovering Options for Exploration by Minimizing Cover Time
Yuu Jinnai, Jee Won Park, David Abel et al.
Discovering Regularities from Traditional Chinese Medicine Prescriptions via Bipartite Embedding Model
Chunyang Ruan, Jiangang Ma, Ye Wang et al.
Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms
Panagiotis Mandros, Mario Boley, Jilles Vreeken
Discovering Temporal Patterns from Insurance Interaction Data
Maleeha Qazi, Srinivas Tunuguntla, Peng Lee et al.
Discovering the Functions of Language in Online Forums
Youmna Ismaeil, Oana Balalau, Paramita Mirza
Discovering Visual Patterns in Art Collections With Spatially-Consistent Feature Learning
Xi Shen, Alexei A. Efros, Mathieu Aubry
Discovery of Natural Language Concepts in Individual Units of CNNs
Seil Na, Yo Joong Choe, Dong-Hyun Lee et al.
Discovery of Useful Questions as Auxiliary Tasks
Vivek Veeriah, Matteo Hessel, Zhongwen Xu et al.
Discrepancy, Coresets, and Sketches in Machine Learning
Zohar Karnin, Edo Liberty
Discrete Binary Coding based Label Distribution Learning
Ke Wang, Xin Geng
Discrete Flows: Invertible Generative Models of Discrete Data
Dustin Tran, Keyon Vafa, Kumar Agrawal et al.
Discrete Laplace Operator Estimation for Dynamic 3D Reconstruction
Xiangyu Xu, Enrique Dunn
Discreteness in Neural Natural Language Processing
Lili Mou, Hao Zhou, Lei Li
2019
EMNLP
Discreteness in Neural Natural Language Processing
Lili Mou, Hao Zhou, Lei Li
2019
IJCNLP
Discrete Object Generation with Reversible Inductive Construction
Ari Seff, Wenda Zhou, Farhan Damani et al.