Papers
BN-invariant Sharpness Regularizes the Training Model to Better Generalization
Mingyang Yi, Huishuai Zhang, Wei Chen et al.
BNU-HKBU UIC NLP Team 2 at SemEval-2019 Task 6: Detecting Offensive Language Using BERT model
Zhenghao Wu, Hao Zheng, Jianming Wang et al.
Book QA: Stories of Challenges and Opportunities
Stefanos Angelidis, Lea Frermann, Diego Marcheggiani et al.
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
Christopher Clark, Kenton Lee, Ming-Wei Chang et al.
Boosted Density Estimation Remastered
Zac Cranko, Richard Nock
Boosted Kernel Ridge Regression: Optimal Learning Rates and Early Stopping
Shao-Bo Lin, Yunwen Lei, Ding-Xuan Zhou
Boosting Causal Embeddings via Potential Verb-Mediated Causal Patterns
Zhipeng Xie, Feiteng Mu
Boosting Character-Based Chinese Speech Synthesis via Multi-Task Learning and Dictionary Tutoring
Yuxiang Zou, Linhao Dong, Bo Xu
Boosting Dialog Response Generation
Wenchao Du, Alan W Black
Boosting Entity Linking Performance by Leveraging Unlabeled Documents
Phong Le, Ivan Titov
Boosting Few-Shot Visual Learning With Self-Supervision
Spyros Gidaris, Andrei Bursuc, Nikos Komodakis et al.
Boosting for Comparison-Based Learning
Michael Perrot, Ulrike von Luxburg
Boosting Local Shape Matching for Dense 3D Face Correspondence
Zhenfeng Fan, Xiyuan Hu, Chen Chen et al.
Boosting Robustness Certification of Neural Networks
Gagandeep Singh, Timon Gehr, Markus Püschel et al.
Boosting Transfer Learning with Survival Data from Heterogeneous Domains
Alexis Bellot, Mihaela van der Schaar
Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning
Wenzhen Huang, Junge Zhang, Kaiqi Huang
Bootstrapping a Text Normalization System for an Inflected Language. Numbers as a Test Case
Anna Björk Nikulásdóttir, Jón Guðnason
Bootstrapping Conversational Agents with Weak Supervision
Neil Mallinar, Abhishek Shah, Rajendra Ugrani et al.
Bootstrapping Upper Confidence Bound
Botao Hao, Yasin Abbasi Yadkori, Zheng Wen et al.
Bottleneck Potentials in Markov Random Fields
Ahmed Abbas, Paul Swoboda
BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle
Peter West, Ari Holtzman, Jan Buys et al.
BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle
Peter West, Ari Holtzman, Jan Buys et al.
Bottom-Up Object Detection by Grouping Extreme and Center Points
Xingyi Zhou, Jiacheng Zhuo, Philipp Krahenbuhl
Bounce and Learn: Modeling Scene Dynamics with Real-World Bounces
Senthil Purushwalkam, Abhinav Gupta, Danny Kaufman et al.