Papers
Biases in Evaluation of Molecular Optimization Methods and Bias Reduction Strategies
Hiroshi Kajino, Kohei Miyaguchi, Takayuki Osogami
BiBench: Benchmarking and Analyzing Network Binarization
Haotong Qin, Mingyuan Zhang, Yifu Ding et al.
Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions
Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou et al.
Bidirectional Learning for Offline Model-based Biological Sequence Design
Can Chen, Yingxue Zhang, Xue Liu et al.
Bidirectional Looking with A Novel Double Exponential Moving Average to Adaptive and Non-adaptive Momentum Optimizers
Yineng Chen, Zuchao Li, Lefei Zhang et al.
Bi-directional Masks for Efficient N:M Sparse Training
Yuxin Zhang, Yiting Luo, Mingbao Lin et al.
Bigger, Better, Faster: Human-level Atari with human-level efficiency
Max Schwarzer, Johan Samir Obando Ceron, Aaron Courville et al.
BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning
Kishaan Jeeveswaran, Prashant Shivaram Bhat, Bahram Zonooz et al.
Bit Allocation using Optimization
Tongda Xu, Han Gao, Chenjian Gao et al.
Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces
Javier E. Santos, Zachary R. Fox, Nicholas Lubbers et al.
B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding
Miruna Oprescu, Jacob Dorn, Marah Ghoummaid et al.
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Junnan Li, Dongxu Li, Silvio Savarese et al.
Block Subsampled Randomized Hadamard Transform for Nyström Approximation on Distributed Architectures
Oleg Balabanov, Matthias Beaupère, Laura Grigori et al.
Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization
Quanqi Hu, Zi-Hao Qiu, Zhishuai Guo et al.
Blossom: an Anytime Algorithm for Computing Optimal Decision Trees
Emir Demirović, Emmanuel Hebrard, Louis Jean
BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming
Steven Adams, Andrea Patane, Morteza Lahijanian et al.
Boosting Graph Contrastive Learning via Graph Contrastive Saliency
Chunyu Wei, Yu Wang, Bing Bai et al.
Boosting Offline Reinforcement Learning with Action Preference Query
Qisen Yang, Shenzhi Wang, Matthieu Gaetan Lin et al.
Bootstrap in High Dimension with Low Computation
Henry Lam, Zhenyuan Liu
Bootstrapped Representations in Reinforcement Learning
Charline Le Lan, Stephen Tu, Mark Rowland et al.
BPipe: Memory-Balanced Pipeline Parallelism for Training Large Language Models
Taebum Kim, Hyoungjoo Kim, Gyeong-In Yu et al.
Brainformers: Trading Simplicity for Efficiency
Yanqi Zhou, Nan Du, Yanping Huang et al.
Brauer’s Group Equivariant Neural Networks
Edward Pearce-Crump
Building Neural Networks on Matrix Manifolds: A Gyrovector Space Approach
Xuan Son Nguyen, Shuo Yang