Papers
A System for Medical Information Extraction and Verification from Unstructured Text
Damir Juric, Giorgos Stoilos, Andre Melo et al.
A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound
Gal Dalal, Balazs Szorenyi, Gugan Thoppe
Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset
Ruohan Zhang, Calen Walshe, Zhuode Liu et al.
A Three-Level Optimization Model for Nonlinearly Separable Clustering
Liang Bai, Jiye Liang
AtLoc: Attention Guided Camera Localization
Bing Wang, Changhao Chen, Chris Xiaoxuan Lu et al.
Attending to Entities for Better Text Understanding
Pengxiang Cheng, Katrin Erk
Attention-Based Multi-Modal Fusion Network for Semantic Scene Completion
Siqi Li, Changqing Zou, Yipeng Li et al.
Attention-Based View Selection Networks for Light-Field Disparity Estimation
Yu-Ju Tsai, Yu-Lun Liu, Ming Ouhyoung et al.
Attention-Guide Walk Model in Heterogeneous Information Network for Multi-Style Recommendation Explanation
Xin Wang, Ying Wang, Yunzhi Ling
Attention-Informed Mixed-Language Training for Zero-Shot Cross-Lingual Task-Oriented Dialogue Systems
Zihan Liu, Genta Indra Winata, Zhaojiang Lin et al.
Attention-over-Attention Field-Aware Factorization Machine
Zhibo Wang, Jinxin Ma, Yongquan Zhang et al.
Attentive Experience Replay
Peiquan Sun, Wengang Zhou, Houqiang Li
Attentive User-Engaged Adversarial Neural Network for Community Question Answering
Yuexiang Xie, Ying Shen, Yaliang Li et al.
Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation
Yun-Zhu Song, Hong-Han Shuai, Sung-Lin Yeh et al.
Attribute Noise Robust Binary Classification (Student Abstract)
Aditya Petety, Sandhya Tripathi, N. Hemachandra
Attribute Propagation Network for Graph Zero-Shot Learning
Lu Liu, Tianyi Zhou, Guodong Long et al.
AUC Optimization with a Reject Option
Song-Qing Shen, Bin-Bin Yang, Wei Gao
Augmenting the Power of (Partial) MaxSat Resolution with Extension
Javier Larrosa, Emma Rollon
A Unified Framework for Knowledge Intensive Gradient Boosting: Leveraging Human Experts for Noisy Sparse Domains
Harsha Kokel, Phillip Odom, Shuo Yang et al.
A Unifying View on Individual Bounds and Heuristic Inaccuracies in Bidirectional Search
Vidal Alcázar, Pat Riddle, Mike Barley
Author Name Disambiguation on Heterogeneous Information Network with Adversarial Representation Learning
Haiwen Wang, Ruijie Wan, Chuan Wen et al.
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates
Ning Liu, Xiaolong Ma, Zhiyuan Xu et al.
AutoDAL: Distributed Active Learning with Automatic Hyperparameter Selection
Xu Chen, Brett Wujek
Auto-GAN: Self-Supervised Collaborative Learning for Medical Image Synthesis
Bing Cao, Han Zhang, Nannan Wang et al.