Papers
21,849 papers found
Boosting Alignment for Post-Unlearning Text-to-Image Generative Models
Myeongseob Ko, Henry Li, Zhun Wang et al.
Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning
Armand Kassaï Koupaï, Jorge Mifsut Benet, Yuan Yin et al.
Boosting Graph Pooling with Persistent Homology
Chaolong Ying, Xinjian Zhao, Tianshu Yu
Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance
Joshua McClellan, Naveed Haghani, John Winder et al.
Boosting Semi-Supervised Scene Text Recognition via Viewing and Summarizing
Yadong Qu, Yuxin Wang, Bangbang Zhou et al.
Boosting Text-to-Video Generative Model with MLLMs Feedback
Xun Wu, Shaohan Huang, Guolong Wang et al.
Boosting the Potential of Large Language Models with an Intelligent Information Assistant
Yujia Zhou, Zheng Liu, Zhicheng Dou
Boosting the Transferability of Adversarial Attack on Vision Transformer with Adaptive Token Tuning
Di Ming, Peng Ren, Yunlong Wang et al.
Boosting Transferability and Discriminability for Time Series Domain Adaptation
Mingyang Liu, Xinyang Chen, Yang Shu et al.
Boosting Vision-Language Models with Transduction
Maxime Zanella, Benoît Gérin, Ismail Ben Ayed
Boosting Weakly Supervised Referring Image Segmentation via Progressive Comprehension
Zaiquan Yang, Yuhao Liu, Jiaying Lin et al.
Bootstrapping Top-down Information for Self-modulating Slot Attention
Dongwon Kim, Seoyeon Kim, Suha Kwak
Boundary Decomposition for Nadir Objective Vector Estimation
Ruihao Zheng, Zhenkun Wang
Boundary Matters: A Bi-Level Active Finetuning Method
Han Lu, Yichen Xie, Xiaokang Yang et al.
Bounds for the smallest eigenvalue of the NTK for arbitrary spherical data of arbitrary dimension
Kedar Karhadkar, Michael Murray, Guido Montúfar
BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning
Jianming Pan, Zeqi Ye, Xiao Yang et al.
BrainBits: How Much of the Brain are Generative Reconstruction Methods Using?
David Mayo, Christopher Wang, Asa Harbin et al.
Brain-JEPA: Brain Dynamics Foundation Model with Gradient Positioning and Spatiotemporal Masking
Zijian Dong, Ruilin Li, Yilei Wu et al.
Brain Treebank: Large-scale intracranial recordings from naturalistic language stimuli
Christopher Wang, Adam Yaari, Aaditya K Singh et al.
Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model
Wenjia Xie, Hao Wang, Luankang Zhang et al.
Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts
Zhe Zhao, Haibin Wen, Zikang Wang et al.
Breaking Semantic Artifacts for Generalized AI-generated Image Detection
Chende Zheng, Chenhao Lin, Zhengyu Zhao et al.
Breaking the curse of dimensionality in structured density estimation
Robert A. Vandermeulen, Wai Ming Tai, Bryon Aragam
Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack
Mingli Zhu, Siyuan Liang, Baoyuan Wu
BricksRL: A Platform for Democratizing Robotics and Reinforcement Learning Research and Education with LEGO
Sebastian Dittert, Vincent Moens, Gianni De Fabritiis