Papers
Boosting Adversarial Transferability by Achieving Flat Local Maxima
Zhijin Ge, Hongying Liu, Wang Xiaosen et al.
Boosting Learning for LDPC Codes to Improve the Error-Floor Performance
Hee-Youl Kwak, Dae-Young Yun, Yongjune Kim et al.
Boosting Spectral Clustering on Incomplete Data via Kernel Correction and Affinity Learning
Fangchen Yu, Runze Zhao, Zhan Shi et al.
Boosting Verification of Deep Reinforcement Learning via Piece-Wise Linear Decision Neural Networks
Jiaxu Tian, Dapeng Zhi, Si Liu et al.
Boosting with Tempered Exponential Measures
Richard Nock, Ehsan Amid, Manfred Warmuth
Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences
Minsu Kim, Federico Berto, Sungsoo Ahn et al.
Bootstrapping Vision-Language Learning with Decoupled Language Pre-training
Yiren Jian, Chongyang Gao, Soroush Vosoughi
Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces
Leonard Papenmeier, Luigi Nardi, Matthias Poloczek
Boundary Guided Learning-Free Semantic Control with Diffusion Models
Ye Zhu, Yu Wu, Zhiwei Deng et al.
Bounded rationality in structured density estimation
Tianyuan Teng, Kevin Li, Hang Zhang
Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information
Kiwan Maeng, Chuan Guo, Sanjay Kariyappa et al.
Bounding training data reconstruction in DP-SGD
Jamie Hayes, Borja Balle, Saeed Mahloujifar
BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial Optimization
Darko Drakulic, Sofia Michel, Florian Mai et al.
Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models
Andrew Luo, Maggie Henderson, Leila Wehbe et al.
Brain Dissection: fMRI-trained Networks Reveal Spatial Selectivity in the Processing of Natural Images
Gabriel Sarch, Michael Tarr, Katerina Fragkiadaki et al.
Brain encoding models based on multimodal transformers can transfer across language and vision
Jerry Tang, Meng Du, Vy Vo et al.
Brain-like Flexible Visual Inference by Harnessing Feedback Feedforward Alignment
Tahereh Toosi, Elias Issa
Brant: Foundation Model for Intracranial Neural Signal
Daoze Zhang, Zhizhang Yuan, YANG YANG et al.
Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback
Marcel Torne Villasevil, Max Balsells I Pamies, Zihan Wang et al.
Breaking the Communication-Privacy-Accuracy Tradeoff with $f$-Differential Privacy
Richeng Jin, Zhonggen Su, caijun zhong et al.
Break It Down: Evidence for Structural Compositionality in Neural Networks
Michael Lepori, Thomas Serre, Ellie Pavlick
Bridging Discrete and Backpropagation: Straight-Through and Beyond
Liyuan Liu, Chengyu Dong, Xiaodong Liu et al.
Bridging RL Theory and Practice with the Effective Horizon
Cassidy Laidlaw, Stuart J Russell, Anca Dragan
Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models
Zhimin Chen, Longlong Jing, Yingwei Li et al.