Papers
Average-Case Information Complexity of Learning
Ido Nachum, Amir Yehudayoff
Average Individual Fairness: Algorithms, Generalization and Experiments
Saeed Sharifi-Malvajerdi, Michael Kearns, Aaron Roth
Avoiding Latent Variable Collapse with Generative Skip Models
Adji B. Dieng, Yoon Kim, Alexander M. Rush et al.
Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QA
Yichen Jiang, Mohit Bansal
AVS-Net: Automatic Visual Surveillance Using Relation Network
Sein Jang, Young-Ho Park, Aziz Nasridinov
AVT: Unsupervised Learning of Transformation Equivariant Representations by Autoencoding Variational Transformations
Guo-Jun Qi, Liheng Zhang, Chang Wen Chen et al.
A Walkthrough for the Principle of Logit Separation
Gil Keren, Sivan Sabato, Björn Schuller
A Weakly Supervised Fine Label Classifier Enhanced by Coarse Supervision
Fariborz Taherkhani, Hadi Kazemi, Ali Dabouei et al.
A Weighted Mini-Bucket Bound for Solving Influence Diagram
Junkyu Lee, Radu Marinescu, Alexander Ihler et al.
A Well-Tempered Landscape for Non-convex Robust Subspace Recovery
Tyler Maunu, Teng Zhang, Gilad Lerman
A Whole New Ball Game: Harvesting Game Data for Player Profiling
Ivan Samborskii, Aleksandr Farseev, Andrey Filchenkov et al.
A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains
Dominik Schlechtweg, Anna Hätty, Marco Del Tredici et al.
A Working Memory Model for Task-oriented Dialog Response Generation
Xiuyi Chen, Jiaming Xu, Bo Xu
A Wrapped Normal Distribution on Hyperbolic Space for Gradient-Based Learning
Yoshihiro Nagano, Shoichiro Yamaguchi, Yasuhiro Fujita et al.
AWSD: Adaptive Weighted Spatiotemporal Distillation for Video Representation
Mohammad Tavakolian, Hamed R. Tavakoli, Abdenour Hadid
Axiomatic Characterization of Data-Driven Influence Measures for Classification
Jakub Sliwinski, Martin Strobel, Yair Zick
AX Semantics’ Submission to the SIGMORPHON 2019 Shared Task
Andreas Madsack, Robert Weißgraeber
A Zero-Positive Learning Approach for Diagnosing Software Performance Regressions
Mejbah Alam, Justin Gottschlich, Nesime Tatbul et al.
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning
Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Salem Lahlou et al.
Backbone Cannot Be Trained at Once: Rolling Back to Pre-Trained Network for Person Re-Identification
Youngmin Ro, Jongwon Choi, Dae Ung Jo et al.
Backpropagation-Friendly Eigendecomposition
Wei Wang, Zheng Dang, Yinlin Hu et al.
Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity
Thomas Miconi, Aditya Rawal, Jeff Clune et al.
Backprop with Approximate Activations for Memory-efficient Network Training
Ayan Chakrabarti, Benjamin Moseley
Back-Translation as Strategy to Tackle the Lack of Corpus in Natural Language Generation from Semantic Representations
Marco Antonio Sobrevilla Cabezudo, Simon Mille, Thiago Pardo
Bacteria Biotope at BioNLP Open Shared Tasks 2019
Robert Bossy, Louise Deléger, Estelle Chaix et al.