Papers
AWR: Adaptive Weighting Regression for 3D Hand Pose Estimation
Weiting Huang, Pengfei Ren, Jingyu Wang et al.
Background Suppression Network for Weakly-Supervised Temporal Action Localization
Pilhyeon Lee, Youngjung Uh, Hyeran Byun
Back to the Future – Temporal Adaptation of Text Representations
Johannes Bjerva, Wouter Kouw, Isabelle Augenstein
Balancing Quality and Human Involvement: An Effective Approach to Interactive Neural Machine Translation
Tianxiang Zhao, Lemao Liu, Guoping Huang et al.
Balancing Spreads of Influence in a Social Network
Ruben Becker, Federico Corò, Gianlorenzo D'Angelo et al.
Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours
Vedant Nanda, Pan Xu, Karthik Abhinav Sankararaman et al.
BAR — A Reinforcement Learning Agent for Bounding-Box Automated Refinement
Morgane Ayle, Jimmy Tekli, Julia El-Zini et al.
BattleNet: Capturing Advantageous Battlefield in RTS Games (Student Abstract)
Donghyeon Lee, Man-Je Kim, Chang Wook Ahn
Bayes-Adaptive Monte-Carlo Planning and Learning for Goal-Oriented Dialogues
Youngsoo Jang, Jongmin Lee, Kee-Eung Kim
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.