Papers
Bacteria Biotope Relation Extraction via Lexical Chains and Dependency Graphs
Wuti Xiong, Fei Li, Ming Cheng et al.
Bad Form: Comparing Context-Based and Form-Based Few-Shot Learning in Distributional Semantic Models
Jeroen Van Hautte, Guy Emerson, Marek Rei
BAD SLAM: Bundle Adjusted Direct RGB-D SLAM
Thomas Schops, Torsten Sattler, Marc Pollefeys
BAE-NET: Branched Autoencoder for Shape Co-Segmentation
Zhiqin Chen, Kangxue Yin, Matthew Fisher et al.
BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering
Yu Cao, Meng Fang, Dacheng Tao
Bag-of-Acoustic-Words for Mental Health Assessment: A Deep Autoencoding Approach
Wenchao Du, Louis-Philippe Morency, Jeffrey Cohn et al.
Bag of Tricks for Image Classification with Convolutional Neural Networks
Tong He, Zhi Zhang, Hang Zhang et al.
Bag-of-Words Transfer: Non-Contextual Techniques for Multi-Task Learning
Seth Ebner, Felicity Wang, Benjamin Van Durme
Baidu Neural Machine Translation Systems for WMT19
Meng Sun, Bojian Jiang, Hao Xiong et al.
Balanced Clustering: A Uniform Model and Fast Algorithm
Weibo Lin, Zhu He, Mingyu Xiao
Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations
Tianlu Wang, Jieyu Zhao, Mark Yatskar et al.
Balanced Linear Contextual Bandits
Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey et al.
Balanced Ranking with Diversity Constraints
Ke Yang, Vasilis Gkatzelis, Julia Stoyanovich
Balanced Self-Paced Learning for Generative Adversarial Clustering Network
Kamran Ghasedi, Xiaoqian Wang, Cheng Deng et al.
Balanced Sparsity for Efficient DNN Inference on GPU
Zhuliang Yao, Shijie Cao, Wencong Xiao et al.
Balancing Efficiency and Fairness in On-Demand Ridesourcing
Nixie S Lesmana, Xuan Zhang, Xiaohui Bei
Balancing Explicability and Explanations in Human-Aware Planning
Tathagata Chakraborti, Sarath Sreedharan, Subbarao Kambhampati
Balancing Relevance and Diversity in Online Bipartite Matching via Submodularity
John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan et al.
BAM! Born-Again Multi-Task Networks for Natural Language Understanding
Kevin Clark, Minh-Thang Luong, Urvashi Khandelwal et al.
Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era
Nicolas Durrande, Vincent Adam, Lucas Bordeaux et al.
Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case
Alina Beygelzimer, David Pal, Balazs Szorenyi et al.
Bandit Online Learning with Unknown Delays
Bingcong Li, Tianyi Chen, Georgios B. Giannakis
Bandit Principal Component Analysis
Wojciech Kotłowski, Gergely Neu
Bandits with Feedback Graphs and Switching Costs
Raman Arora, Teodor Vanislavov Marinov, Mehryar Mohri