Papers
Bayesian Adversarial Attack on Graph Neural Networks (Student Abstract)
Xiao Liu, Jing Zhao, Shiliang Sun
Bayesian Optimisation for Premise Selection in Automated Theorem Proving (Student Abstract)
Agnieszka Słowik, Chaitanya Mangla, Mateja Jamnik et al.
Bayesian Optimization for Categorical and Category-Specific Continuous Inputs
Dang Nguyen, Sunil Gupta, Santu Rana et al.
Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy
Ramtin Keramati, Christoph Dann, Alex Tamkin et al.
Beliefs We Can Believe in: Replacing Assumptions with Data in Real-Time Search
Maximilian Fickert, Tianyi Gu, Leonhard Staut et al.
Benign Examples: Imperceptible Changes Can Enhance Image Translation Performance
Vignesh Srinivasan, Klaus-Robert Müller, Wojciech Samek et al.
Be Relevant, Non-Redundant, and Timely: Deep Reinforcement Learning for Real-Time Event Summarization
Min Yang, Chengming Li, Fei Sun et al.
Beyond Digital Domain: Fooling Deep Learning Based Recognition System in Physical World
Kaichen Yang, Tzungyu Tsai, Honggang Yu et al.
Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks
Yehui Tang, Yunhe Wang, Yixing Xu et al.
Beyond Pairwise Comparisons in Social Choice: A Setwise Kemeny Aggregation Problem
Hugo Gilbert, Tom Portoleau, Olivier Spanjaard
Beyond the Grounding Bottleneck: Datalog Techniques for Inference in Probabilistic Logic Programs
Efthymia Tsamoura, Victor Gutierrez-Basulto, Angelika Kimmig
Beyond Trees: Analysis and Convergence of Belief Propagation in Graphs with Multiple Cycles
Roie Zivan, Omer Lev, Rotem Galiki
Beyond Unfolding: Exact Recovery of Latent Convex Tensor Decomposition Under Reshuffling
Chao Li, Mohammad Emtiyaz Khan, Zhun Sun et al.
Bidding in Smart Grid PDAs: Theory, Analysis and Strategy
Susobhan Ghosh, Sujit Gujar, Praveen Paruchuri et al.
Bi-Directional Generation for Unsupervised Domain Adaptation
Guanglei Yang, Haifeng Xia, Mingli Ding et al.
Bi-Level Actor-Critic for Multi-Agent Coordination
Haifeng Zhang, Weizhe Chen, Zeren Huang et al.
Binarized Neural Architecture Search
Hanlin Chen, Li'an Zhuo, Baochang Zhang et al.
Bi-Objective Continual Learning: Learning ‘New’ While Consolidating ‘Known’
Xiaoyu Tao, Xiaopeng Hong, Xinyuan Chang et al.
Biologically Inspired Sleep Algorithm for Reducing Catastrophic Forgetting in Neural Networks
Timothy Tadros, Giri Krishnan, Ramyaa Ramyaa et al.
Biologically Plausible Sequence Learning with Spiking Neural Networks
Zuozhu Liu, Thiparat Chotibut, Christopher Hillar et al.
Bivariate Beta-LSTM
Kyungwoo Song, JoonHo Jang, Seung jae Shin et al.
Blameworthiness in Security Games
Pavel Naumov, Jia Tao
Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting
Qiquan Shi, Jiaming Yin, Jiajun Cai et al.
Boundary Enhanced Neural Span Classification for Nested Named Entity Recognition
Chuanqi Tan, Wei Qiu, Mosha Chen et al.
Bounded Incentives in Manipulating the Probabilistic Serial Rule
Zihe Wang, Zhide Wei, Jie Zhang