Papers
BabelNet Meaning Representation: A Fully Semantic Formalism to Overcome Language Barriers
Roberto Navigli, Rexhina Blloshmi, Abelardo Carlos Martínez Lorenzo
Backdoor Attacks on the DNN Interpretation System
Shihong Fang, Anna Choromanska
Backprop-Free Reinforcement Learning with Active Neural Generative Coding
Alexander G. Ororbia, Ankur Mali
Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks
Soumyasundar Pal, Antonios Valkanas, Florence Regol et al.
Balanced Self-Paced Learning for AUC Maximization
Bin Gu, Chenkang Zhang, Huan Xiong et al.
Balancing the Spread of Two Opinions in Sparse Social Networks (Student Abstract)
Dušan Knop, Šimon Schierreich, Ondřej Suchý
Bandit Data-Driven Optimization for Crowdsourcing Food Rescue Platforms
Zheyuan Ryan Shi, Zhiwei Steven Wu, Rayid Ghani et al.
Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization
Akihiro Kishimoto, Djallel Bouneffouf, Radu Marinescu et al.
Barely-Supervised Learning: Semi-supervised Learning with Very Few Labeled Images
Thomas Lucas, Philippe Weinzaepfel, Gregory Rogez
Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning
Yuheng Zhang, Hanghang Tong, Yinglong Xia et al.
BATUDE: Budget-Aware Neural Network Compression Based on Tucker Decomposition
Miao Yin, Huy Phan, Xiao Zang et al.
Bayesian Model-Based Offline Reinforcement Learning for Product Allocation
Porter Jenkins, Hua Wei, J. Stockton Jenkins et al.
Bayesian Optimisation for Active Monitoring of Air Pollution
Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard
Bayesian Optimization over Permutation Spaces
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa et al.
Bayesian Persuasion in Sequential Decision-Making
Jiarui Gan, Rupak Majumdar, Goran Radanovic et al.
‘Beach’ to ‘Bitch’: Inadvertent Unsafe Transcription of Kids’ Content on YouTube
Krithika Ramesh, Ashiqur R. KhudaBukhsh, Sumeet Kumar
Behind the Curtain: Learning Occluded Shapes for 3D Object Detection
Qiangeng Xu, Yiqi Zhong, Ulrich Neumann
Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks
Simone Marullo, Matteo Tiezzi, Marco Gori et al.
BERTMap: A BERT-Based Ontology Alignment System
Yuan He, Jiaoyan Chen, Denvar Antonyrajah et al.
Best-Buddy GANs for Highly Detailed Image Super-resolution
Wenbo Li, Kun Zhou, Lu Qi et al.
Better Parameter-Free Stochastic Optimization with ODE Updates for Coin-Betting
Keyi Chen, John Langford, Francesco Orabona
Beyond GNNs: An Efficient Architecture for Graph Problems
Pranjal Awasthi, Abhimanyu Das, Sreenivas Gollapudi
Beyond Learning Features: Training a Fully-Functional Classifier with ZERO Instance-Level Labels
Deepak Babu Sam, Abhinav Agarwalla, Venkatesh Babu Radhakrishnan
Beyond Shared Subspace: A View-Specific Fusion for Multi-View Multi-Label Learning
Gengyu Lyu, Xiang Deng, Yanan Wu et al.
Bi-CMR: Bidirectional Reinforcement Guided Hashing for Effective Cross-Modal Retrieval
Tieying Li, Xiaochun Yang, Bin Wang et al.