Papers
Adversarial Training for Community Question Answer Selection Based on Multi-Scale Matching
Xiao Yang, Madian Khabsa, Miaosen Wang et al.
Adversarial training for free!
Ali Shafahi, Mahyar Najibi, Mohammad Amin Ghiasi et al.
Adversarial Training for Satire Detection: Controlling for Confounding Variables
Robert McHardy, Heike Adel, Roman Klinger
Adversarial Training for Weakly Supervised Event Detection
Xiaozhi Wang, Xu Han, Zhiyuan Liu et al.
Adversarial Transfer for Named Entity Boundary Detection with Pointer Networks
Jing Li, Deheng Ye, Shuo Shang
Adversarial Unsupervised Representation Learning for Activity Time-Series
Karan Aggarwal, Shafiq Joty, Luis Fernandez-Luque et al.
Adversarial Variational Optimization of Non-Differentiable Simulators
Gilles Louppe, Joeri Hermans, Kyle Cranmer
Adverse Drug Effect and Personalized Health Mentions, CLaC at SMM4H 2019, Tasks 1 and 4
Parsa Bagherzadeh, Nadia Sheikh, Sabine Bergler
ADVISER: A Dialog System Framework for Education & Research
Daniel Ortega, Dirk Väth, Gianna Weber et al.
AdvIT: Adversarial Frames Identifier Based on Temporal Consistency in Videos
Chaowei Xiao, Ruizhi Deng, Bo Li et al.
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns
Zhibo Wang, Siyan Zheng, Mengkai Song et al.
A Dynamical System Approach to Motion and Force Generation in Contact Tasks
Walid Amanhoud, Mahdi Khoramshahi, Aude Billard
A Dynamical Systems Perspective on Nesterov Acceleration
Michael Muehlebach, Michael Jordan
A Dynamic Bayesian Network Based Merge Mechanism for Autonomous Vehicles
Kherroubi Zine el Abidine, Aknine Samir, Bacha Rebiha
A Dynamic Speaker Model for Conversational Interactions
Hao Cheng, Hao Fang, Mari Ostendorf
AE2-Nets: Autoencoder in Autoencoder Networks
Changqing Zhang, Yeqing Liu, Huazhu Fu
AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations Rather Than Data
Liheng Zhang, Guo-Jun Qi, Liqiang Wang et al.
A Family of Exact Goodness-of-Fit Tests for High-Dimensional Discrete Distributions
Feras A. Saad, Cameron E. Freer, Nathanael L. Ackerman et al.
A Family of Robust Stochastic Operators for Reinforcement Learning
Yingdong Lu, Mark Squillante, Chai Wah Wu
A Fast and Accurate One-Stage Approach to Visual Grounding
Zhengyuan Yang, Boqing Gong, Liwei Wang et al.
A Fast Machine Learning Workflow for Rapid Phenotype Prediction from Whole Shotgun Metagenomes
Anna Paola Carrieri, Will PM Rowe, Martyn Winn et al.
A Fast Proximal Point Method for Computing Exact Wasserstein Distance
Yujia Xie, Xiangfeng Wang, Ruijia Wang et al.
A Fast Sampling Algorithm for Maximum Inner Product Search
QIN DING, Hsiang-Fu Yu, Cho-Jui Hsieh