Papers
11,015 papers found
Boosting Latent Diffusion with Perceptual Objectives
Tariq Berrada, Pietro Astolfi, Melissa Hall et al.
Boosting Methods for Interval-censored Data with Regression and Classification
Yuan Bian, Grace Yi, Wenqing He
Boosting Multiple Views for pretrained-based Continual Learning
Quyen Tran, Tung Lam Tran, Khanh Doan et al.
Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems
Fu Luo, Xi Lin, Yaoxin Wu et al.
Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games
Kenshi Abe, Mitsuki Sakamoto, Kaito Ariu et al.
Boosting Ray Search Procedure of Hard-label Attacks with Transfer-based Priors
Chen Ma, Xinjie Xu, Shuyu Cheng et al.
Boosting the visual interpretability of CLIP via adversarial fine-tuning
Shizhan Gong, Haoyu LEI, Qi Dou et al.
Boost Self-Supervised Dataset Distillation via Parameterization, Predefined Augmentation, and Approximation
Sheng-Feng Yu, Jia-Jiun Yao, Wei-Chen Chiu
Bootstrapped Model Predictive Control
Yuhang Wang, Hanwei Guo, Sizhe Wang et al.
Bootstrapping Language-Guided Navigation Learning with Self-Refining Data Flywheel
Zun Wang, Jialu Li, Yicong Hong et al.
Bootstrapping Language Models with DPO Implicit Rewards
Changyu Chen, Zichen Liu, Chao Du et al.
Both Ears Wide Open: Towards Language-Driven Spatial Audio Generation
Peiwen Sun, Sitong Cheng, Xiangtai Li et al.
BP-Modified Local Loss for Efficient Training of Deep Neural Networks
REN Lianhai, Qianxiao Li
BRAID: Input-driven Nonlinear Dynamical Modeling of Neural-Behavioral Data
Parsa Vahidi, Omid G. Sani, Maryam Shanechi
BrainACTIV: Identifying visuo-semantic properties driving cortical selectivity using diffusion-based image manipulation
Diego Garcia Cerdas, Christina Sartzetaki, Magnus Petersen et al.
Brain Bandit: A Biologically Grounded Neural Network for Efficient Control of Exploration
Chen Jiang, Jiahui An, Yating Liu et al.
Brain-inspired $L_p$-Convolution benefits large kernels and aligns better with visual cortex
Jea Kwon, Sungjun Lim, Kyungwoo Song et al.
Brain Mapping with Dense Features: Grounding Cortical Semantic Selectivity in Natural Images With Vision Transformers
Andrew Luo, Jacob Yeung, Rushikesh Zawar et al.
BrainOOD: Out-of-distribution Generalizable Brain Network Analysis
Jiaxing Xu, Yongqiang Chen, Xia Dong et al.
BrainUICL: An Unsupervised Individual Continual Learning Framework for EEG Applications
Yangxuan Zhou, Sha Zhao, Jiquan Wang et al.
Breach By A Thousand Leaks: Unsafe Information Leakage in 'Safe' AI Responses
David Glukhov, Ziwen Han, Ilia Shumailov et al.
Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator
Xin Zhang, Jiawei Du, Ping Liu et al.
Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization
Wei Liu, Zhiying Deng, Zhongyu Niu et al.
Breaking Mental Set to Improve Reasoning through Diverse Multi-Agent Debate
Yexiang Liu, Jie Cao, Zekun Li et al.