Papers
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.
BigCQ: Generating a Synthetic Set of Competency Questions Formalized into SPARQL-OWL (Student Abstract)
Dawid Wiśniewski, Jędrzej Potoniec, Agnieszka Ławrynowicz
BiRdQA: A Bilingual Dataset for Question Answering on Tricky Riddles
Yunxiang Zhang, Xiaojun Wan
Bi-volution: A Static and Dynamic Coupled Filter
Xiwei Hu, Xuanhong Chen, Bingbing Ni et al.
Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs
Jiarong Xu, Yizhou Sun, Xin Jiang et al.
Blocking Influence at Collective Level with Hard Constraints (Student Abstract)
Zonghan Zhang, Subhodip Biswas, Fanglan Chen et al.
Block Modeling-Guided Graph Convolutional Neural Networks
Dongxiao He, Chundong Liang, Huixin Liu et al.
Block-Skim: Efficient Question Answering for Transformer
Yue Guan, Zhengyi Li, Zhouhan Lin et al.
Blockwise Sequential Model Learning for Partially Observable Reinforcement Learning
Giseung Park, Sungho Choi, Youngchul Sung
BM-NAS: Bilevel Multimodal Neural Architecture Search
Yihang Yin, Siyu Huang, Xiang Zhang
Boosting Active Learning via Improving Test Performance
Tianyang Wang, Xingjian Li, Pengkun Yang et al.
Boosting Contrastive Learning with Relation Knowledge Distillation
Kai Zheng, Yuanjiang Wang, Ye Yuan
Boosting Generative Zero-Shot Learning by Synthesizing Diverse Features with Attribute Augmentation
Xiaojie Zhao, Yuming Shen, Shidong Wang et al.
Boosting the Transferability of Video Adversarial Examples via Temporal Translation
Zhipeng Wei, Jingjing Chen, Zuxuan Wu et al.
Boost Supervised Pretraining for Visual Transfer Learning: Implications of Self-Supervised Contrastive Representation Learning
Jinghan Sun, Dong Wei, Kai Ma et al.
Bounding Quality in Diverse Planning
Michael Katz, Shirin Sohrabi, Octavian Udrea
Bounds on Causal Effects and Application to High Dimensional Data
Ang Li, Judea Pearl