Papers
ABCD-Strategy: Budgeted Experimental Design for Targeted Causal Structure Discovery
Raj Agrawal, Chandler Squires, Karren Yang et al.
ABD-Net: Attentive but Diverse Person Re-Identification
Tianlong Chen, Shaojin Ding, Jingyi Xie et al.
Abduction-Based Explanations for Machine Learning Models
Alexey Ignatiev, Nina Narodytska, Joao Marques-Silva
A Behavioral Approach to Visual Navigation with Graph Localization Networks
Kevin Chen, Juan Pablo de Vicente, Gabriel Sepulveda et al.
A Benchmark Corpus of English Misspellings and a Minimally-supervised Model for Spelling Correction
Michael Flor, Michael Fried, Alla Rozovskaya
A Benchmark Dataset for Learning to Intervene in Online Hate Speech
Jing Qian, Anna Bethke, Yinyin Liu et al.
A Benchmark Dataset for Learning to Intervene in Online Hate Speech
Jing Qian, Anna Bethke, Yinyin Liu et al.
A Benchmark for Interpretability Methods in Deep Neural Networks
Sara Hooker, Dumitru Erhan, Pieter-Jan Kindermans et al.
A BERT-based Universal Model for Both Within- and Cross-sentence Clinical Temporal Relation Extraction
Chen Lin, Timothy Miller, Dmitriy Dligach et al.
A Better Algorithm for Societal Tradeoffs
Hanrui Zhang, Yu Cheng, Vincent Conitzer
A Better k-means++ Algorithm via Local Search
Silvio Lattanzi, Christian Sohler
A Blissymbolics Translation System
Usman Sohail, David Traum
A Block Coordinate Descent Proximal Method for Simultaneous Filtering and Parameter Estimation
Ramin Raziperchikolaei, Harish Bhat
A Bootstrap Method for Error Estimation in Randomized Matrix Multiplication
Miles E. Lopes, Shusen Wang, Michael W. Mahoney
A Bottom-Up Clustering Approach to Unsupervised Person Re-Identification
Yutian Lin, Xuanyi Dong, Liang Zheng et al.
A Boundary-aware Neural Model for Nested Named Entity Recognition
Changmeng Zheng, Yi Cai, Jingyun Xu et al.
A Boundary-aware Neural Model for Nested Named Entity Recognition
Changmeng Zheng, Yi Cai, Jingyun Xu et al.
ABox Abduction via Forgetting in ALC
Warren Del-Pinto, Renate A. Schmidt
A Bridge between Liquid and Social Welfare in Combinatorial Auctions with Submodular Bidders
Dimitris Fotakis, Kyriakos Lotidis, Chara Podimata
ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System
Oren Pereg, Daniel Korat, Moshe Wasserblat et al.
ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System
Oren Pereg, Daniel Korat, Moshe Wasserblat et al.
Abstracting Causal Models
Sander Beckers, Joseph Y. Halpern
Abstraction based Output Range Analysis for Neural Networks
Pavithra Prabhakar, Zahra Rahimi Afzal
Abstractive Summarization: A Survey of the State of the Art
Hui Lin, Vincent Ng
Abstractive Summarization of Reddit Posts with Multi-level Memory Networks
Byeongchang Kim, Hyunwoo Kim, Gunhee Kim