Papers
Bayesian Optimization-Based Combinatorial Assignment
Jakob Weissteiner, Jakob Heiss, Julien Siems et al.
Beam Search Optimized Batch Bayesian Active Learning
Jingyu Sun, Hongjie Zhai, Osamu Saisho et al.
Behavioral Learning in Security Games: Threat of Multi-Step Manipulative Attacks
Thanh H. Nguyen, Arunesh Sinha
Behavior Estimation from Multi-Source Data for Offline Reinforcement Learning
Guoxi Zhang, Hisashi Kashima
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes
Chao Qu, Xiaoyu Tan, Siqiao Xue et al.
BERT-ERC: Fine-Tuning BERT Is Enough for Emotion Recognition in Conversation
Xiangyu Qin, Zhiyu Wu, Tingting Zhang et al.
Bespoke: A Block-Level Neural Network Optimization Framework for Low-Cost Deployment
Jong-Ryul Lee, Yong-Hyuk Moon
BEST: BERT Pre-training for Sign Language Recognition with Coupling Tokenization
Weichao Zhao, Hezhen Hu, Wengang Zhou et al.
BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning
Haoyang Bi, Enhong Chen, Weidong He et al.
Better and Faster: Adaptive Event Conversion for Event-Based Object Detection
Yansong Peng, Yueyi Zhang, Peilin Xiao et al.
Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion
Hengzhi Pei, Jinman Zhao, Leonard Lausen et al.
Better Environments for Better AI
Sarah Keren
Better Generalized Few-Shot Learning Even without Base Data
Seong-Woong Kim, Dong-Wan Choi
Better Peer Grading through Bayesian Inference
Hedayat Zarkoob, Greg d'Eon, Lena Podina et al.
BEVDepth: Acquisition of Reliable Depth for Multi-View 3D Object Detection
Yinhao Li, Zheng Ge, Guanyi Yu et al.
BEVStereo: Enhancing Depth Estimation in Multi-View 3D Object Detection with Temporal Stereo
Yinhao Li, Han Bao, Zheng Ge et al.
Beyond ADMM: A Unified Client-Variance-Reduced Adaptive Federated Learning Framework
Shuai Wang, Yanqing Xu, Zhiguo Wang et al.
Beyond Black-Boxes: Teaching Complex Machine Learning Ideas through Scaffolded Interactive Activities
Brian Broll, Shuchi Grover
Beyond Graph Convolutional Network: An Interpretable Regularizer-Centered Optimization Framework
Shiping Wang, Zhihao Wu, Yuhong Chen et al.
Beyond NaN: Resiliency of Optimization Layers in the Face of Infeasibility
Wai Tuck Wong, Sarah Kinsey, Ramesha Karunasena et al.
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating
Yixin Liu, Yizhen Zheng, Daokun Zhang et al.
Bidding Graph Games with Partially-Observable Budgets
Guy Avni, Ismael Jecker, Đorđe Žikelić
Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation
Daehan Kim, Minseok Seo, Kwanyong Park et al.
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification
Jijie Wu, Dongliang Chang, Aneeshan Sain et al.
Bidirectional Optical Flow NeRF: High Accuracy and High Quality under Fewer Views
Shuo Chen, Binbin Yan, Xinzhu Sang et al.