Papers
Boost Embodied AI Models with Robust Compression Boundary
Chong Yu, Tao Chen, Zhongxue Gan
Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation
Tiansheng Huang, Sihao Hu, Fatih Ilhan et al.
Boosting 3D Liver Shape Datasets with Diffusion Models and Implicit Neural Representations
Khoa Tuan Nguyen, Francesca Tozzi, Wouter Willaert et al.
Boosting Adversarial Robustness with CLAT: Criticality Leveraged Adversarial Training
Bhavna Gopal, Huanrui Yang, Jingyang Zhang et al.
Boosting Adversarial Transferability through Augmentation in Hypothesis Space
Yu Guo, Weiquan Liu, Qingshan Xu et al.
Boosting Adversarial Transferability via Negative Hessian Trace Regularization
Yunfei Long, Zilin Tian, Liguo Zhang et al.
Boosting Adversarial Transferability via Residual Perturbation Attack
Jinjia Peng, Zeze Tao, Huibing Wang et al.
Boosting Causal Additive Models
Maximilian Kertel, Nadja Klein
Boosting Causal Structure Learning: An Asymmetric Exponential Modulation Gaussian-Based Adaptive Sample Reweighting Framework
Wei Xiao, Hongbin Wang, Ming He et al.
Boosting Class Representation via Semantically Related Instances for Robust Long-Tailed Learning with Noisy Labels
Yuhang Li, Zhuying Li, Yuheng Jia
Boosting Consistency in Story Visualization with Rich-Contextual Conditional Diffusion Models
Fei Shen, Hu Ye, Sibo Liu et al.
Boosting Data Utilization for Multilingual Dense Retrieval
Chao Huang, Fengran Mo, Yufeng Chen et al.
Boosting Diffusion Guidance via Learning Degradation-Aware Models for Blind Super Resolution
Shao-Hao Lu, Ren Wang, Ching-Chun Huang et al.
Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability
Boyong He, Yuxiang Ji, Zhuoyue Tan et al.
Boosting Domain Incremental Learning: Selecting the Optimal Parameters is All You Need
Qiang Wang, Xiang Song, Yuhang He et al.
Boosting Few-Shot Open-Set Object Detection via Prompt Learning and Robust Decision Boundary
Zhaowei Wu, Binyi Su, Qichuan Geng et al.
Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learning
Qingqing Fang, Qinliang Su, Wenxi Lv et al.
Boosting Generalizability in NPC ART Prediction via Multi-Omics Feature Mapping
Jiabao Sheng, Zhe Li, Jiang Zhang et al.
Boosting Generative Adversarial Transferability with Self-supervised Vision Transformer Features
Shangbo Wu, Yu-an Tan, Ruinan Ma et al.
Boosting Image De-Raining via Central-Surrounding Synergistic Convolution
Long Peng, Yang Wang, Xin Di et al.
Boosting Latent Diffusion with Perceptual Objectives
Tariq Berrada, Pietro Astolfi, Melissa Hall et al.
Boosting LLM’s Molecular Structure Elucidation with Knowledge Enhanced Tree Search Reasoning
Xiang Zhuang, Bin Wu, Jiyu Cui et al.
Boosting LLM Translation Skills without General Ability Loss via Rationale Distillation
Junhong Wu, Yang Zhao, Yangyifan Xu et al.
Boosting Long-Context Information Seeking via Query-Guided Activation Refilling
Hongjin Qian, Zheng Liu, Peitian Zhang et al.
Boosting Masked ECG-Text Auto-Encoders as Discriminative Learners
Manh Pham Hung, Aaqib Saeed, Dong Ma