Papers
A Walkthrough for the Principle of Logit Separation
Gil Keren, Sivan Sabato, Björn Schuller
Balanced Clustering: A Uniform Model and Fast Algorithm
Weibo Lin, Zhu He, Mingyu Xiao
Balanced Ranking with Diversity Constraints
Ke Yang, Vasilis Gkatzelis, Julia Stoyanovich
Balancing Explicability and Explanations in Human-Aware Planning
Tathagata Chakraborti, Sarath Sreedharan, Subbarao Kambhampati
Bayesian Inference of Linear Temporal Logic Specifications for Contrastive Explanations
Joseph Kim, Christian Muise, Ankit Shah et al.
Bayesian Parameter Estimation for Nonlinear Dynamics Using Sensitivity Analysis
Yi Chou, Sriram Sankaranarayanan
Bayesian Uncertainty Matching for Unsupervised Domain Adaptation
Jun Wen, Nenggan Zheng, Junsong Yuan et al.
BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference
Peichen Xie, Bingzhe Wu, Guangyu Sun
Be a Leader or Become a Follower: The Strategy to Commit to with Multiple Leaders
Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series
Bin Zhou, Shenghua Liu, Bryan Hooi et al.
Belief Propagation Network for Hard Inductive Semi-Supervised Learning
Jaemin Yoo, Hyunsik Jeon, U Kang
Belief Revision Operators with Varying Attitudes Towards Initial Beliefs
Adrian Haret, Stefan Woltran
Belief Update without Compactness in Non-finitary Languages
Jandson S Ribeiro, Abhaya Nayak, Renata Wassermann
Best Answers over Incomplete Data : Complexity and First-Order Rewritings
Amélie Gheerbrant, Cristina Sirangelo
Beyond Product Quantization: Deep Progressive Quantization for Image Retrieval
Lianli Gao, Xiaosu Zhu, Jingkuan Song et al.
Beyond Word Attention: Using Segment Attention in Neural Relation Extraction
Bowen Yu, Zhenyu Zhang, Tingwen Liu et al.
Binarized Collaborative Filtering with Distilling Graph Convolutional Network
Haoyu Wang, Defu Lian, Yong Ge
Binarized Neural Networks for Resource-Efficient Hashing with Minimizing Quantization Loss
Feng Zheng, Cheng Deng, Heng Huang
BN-invariant Sharpness Regularizes the Training Model to Better Generalization
Mingyang Yi, Huishuai Zhang, Wei Chen et al.
Boosting Causal Embeddings via Potential Verb-Mediated Causal Patterns
Zhipeng Xie, Feiteng Mu
Boosting for Comparison-Based Learning
Michael Perrot, Ulrike von Luxburg
Boundary Perception Guidance: A Scribble-Supervised Semantic Segmentation Approach
Bin Wang, Guojun Qi, Sheng Tang et al.
BPAM: Recommendation Based on BP Neural Network with Attention Mechanism
Wu-Dong Xi, Ling Huang, Chang-Dong Wang et al.