Papers
Automatic Curriculum Learning With Over-repetition Penalty for Dialogue Policy Learning
Yangyang Zhao, Zhenyu Wang, Zhenhua Huang
Automatic Generation of Flexible Plans via Diverse Temporal Planning
Yotam Amitai, Ayal Taitler, Erez Karpas
Automatic Optimal Multi-Agent Path Finding Algorithm Selector (Student Abstract)
Jingyao Ren, Vikraman Sathiyanarayanan, Eric Ewing et al.
AutoText: An End-to-End AutoAI Framework for Text
Arunima Chaudhary, Alayt Issak, Kiran Kate et al.
Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks
Russell Tsuchida, Tim Pearce, Chris van der Heide et al.
Backdoor Decomposable Monotone Circuits and Propagation Complete Encodings
Petr Kučera, Petr Savický
Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks
Yongshun Zhang, Xiu-Shen Wei, Boyan Zhou et al.
Balanced Open Set Domain Adaptation via Centroid Alignment
Mengmeng Jing, Jingjing Li, Lei Zhu et al.
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search
Colin White, Willie Neiswanger, Yash Savani
Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games
Gabriele Farina, Robin Schmucker, Tuomas Sandholm
Bayes DistNet - A Robust Neural Network for Algorithm Runtime Distribution Predictions
Jake Tuero, Michael Buro
Bayesian Distributional Policy Gradients
Luchen Li, A. Aldo Faisal
Bayesian Dynamic Mode Decomposition with Variational Matrix Factorization
Takahiro Kawashima, Hayaru Shouno, Hideitsu Hino
Bayesian Optimized Monte Carlo Planning
John Mern, Anil Yildiz, Zachary Sunberg et al.
Bayesian Persuasion under Ex Ante and Ex Post Constraints
Yakov Babichenko, Inbal Talgam-Cohen, Konstantin Zabarnyi
Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example
Serena Booth, Yilun Zhou, Ankit Shah et al.
Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions
Yuhang Wu, Sunpreet S Arora, Yanhong Wu et al.
Benchmarking Knowledge-Enhanced Commonsense Question Answering via Knowledge-to-Text Transformation
Ning Bian, Xianpei Han, Bo Chen et al.
BERT & Family Eat Word Salad: Experiments with Text Understanding
Ashim Gupta, Giorgi Kvernadze, Vivek Srikumar
Better Bounds on the Adaptivity Gap of Influence Maximization under Full-adoption Feedback
Gianlorenzo D'Angelo, Debashmita Poddar, Cosimo Vinci
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise
Pengfei Chen, Junjie Ye, Guangyong Chen et al.
Beyond Low-frequency Information in Graph Convolutional Networks
Deyu Bo, Xiao Wang, Chuan Shi et al.
Bias and Variance of Post-processing in Differential Privacy
Keyu Zhu, Pascal Van Hentenryck, Ferdinando Fioretto
Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation
Shuang Li, Fangrui Lv, Binhui Xie et al.
Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction
Shaowei Chen, Yu Wang, Jie Liu et al.