Papers
Offline Contextual Bandits with High Probability Fairness Guarantees
Blossom Metevier, Stephen Giguere, Sarah Brockman et al.
Offline Contextual Bayesian Optimization
Ian Char, Youngseog Chung, Willie Neiswanger et al.
Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift
Carles Gelada, Marc G. Bellemare
Off-Policy Deep Reinforcement Learning without Exploration
Scott Fujimoto, David Meger, Doina Precup
Off-Policy Evaluation and Learning from Logged Bandit Feedback: Error Reduction via Surrogate Policy
Yuan Xie, Boyi Liu, Qiang Liu et al.
Off-Policy Evaluation via Off-Policy Classification
Alexander Irpan, Kanishka Rao, Konstantinos Bousmalis et al.
Off-Policy Policy Gradient with Stationary Distribution Correction
Yao Liu, Adith Swaminathan, Alekh Agarwal et al.
Off the Cuff: Exploring Extemporaneous Speech Delivery with TTS
Éva Székely, Gustav Eje Henter, Jonas Beskow et al.
OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks
Jiashi Li, Qi Qi, Jingyu Wang et al.
OIL: Observational Imitation Learning
Guohao Li, Matthias Mueller, Vincent Michael Casser et al.
OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge
Kenneth Marino, Mohammad Rastegari, Ali Farhadi et al.
Old is Gold: Linguistic Driven Approach for Entity and Relation Linking of Short Text
Ahmad Sakor, Isaiah Onando Mulang’, Kuldeep Singh et al.
OleNet at SemEval-2019 Task 9: BERT based Multi-Perspective Models for Suggestion Mining
Jiaxiang Liu, Shuohuan Wang, Yu Sun
Omnidirectional Scene Text Detection with Sequential-free Box Discretization
Yuliang Liu, Sheng Zhang, Lianwen Jin et al.
OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching
Changhee Won, Jongbin Ryu, Jongwoo Lim
Omni-Scale Feature Learning for Person Re-Identification
Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro et al.
On Adversarial Mixup Resynthesis
Christopher Beckham, Sina Honari, Vikas Verma et al.
On Boosting Single-Frame 3D Human Pose Estimation via Monocular Videos
Zhi Li, Xuan Wang, Fei Wang et al.
On Causal Identification under Markov Equivalence
Amin Jaber, Jiji Zhang, Elias Bareinboim
Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once
Jiangfan Han, Xiaoyi Dong, Ruimao Zhang et al.
On Certifying Non-Uniform Bounds against Adversarial Attacks
Chen Liu, Ryota Tomioka, Volkan Cevher
On Committee Representations of Adversarial Learning Models for Question-Answer Ranking
Sparsh Gupta, Vitor Carvalho
On Communication Complexity of Classification Problems
Daniel Kane, Roi Livni, Shay Moran et al.