Papers
184,605 papers found
Boosting Medical Vision-Language Pretraining via Momentum Self-Distillation under Limited Computing Resources
Phuc Pham, Nhu Pham, Ngoc Quoc Ly
Boosting Noisy Correspondence Discrimination via Dynamic Neighborhood Semantic Verification
Yu Wang, Fengxia Han, Jianyu Wang
Boosting Resolution Generalization of Diffusion Transformers with Randomized Positional Encodings
Liang Hou, Cong Liu, Mingwu Zheng et al.
Boosting the Robustness-Accuracy Trade-off of SNNs by Robust Temporal Self-Ensemble
Jihang Wang, Dongcheng Zhao, Ruolin Chen et al.
Boosting Unsupervised Video Instance Segmentation with Automatic Quality-Guided Self-Training
Kaixuan Lu, Mehmet Onurcan Kaya, Dim P. Papadopoulos
Bootstrapping Embeddings for Low Resource Languages
Merve Basoz, Andrew Horne, Mattia Opper
Bootstrapping Personalized Insulin Therapy via Model-Based Reinforcement Learning: An In Silico Study
Sumana Basu, Flemming Kondrup, Adriana Romero-Soriano et al.
BOP-Distrib: Revisiting 6D Pose Estimation Benchmarks for Better Evaluation under Visual Ambiguities
Boris Meden, Asma Brazi, Fabrice Mayran de Chamisso et al.
BornoDrishti: Leveraging Vision Encoders and Domain-Adaptive Learning for Bangla OCR on Diverse Documents
S M Jishanul Islam, Md Mehedi Hasan, Masbul Haider Ovi et al.
Bot Blitz: A Scalable Hands-On Workshop for Teaching AI and Robotics Concepts Through Narrative-Driven Problem Solving
Sandra Roach, Karis Boyd-Sinkler, Visrut Sudhakar et al.
Bot Meets Shortcut: How Can LLMs Aid in Handling Unknown Invariance OOD Scenarios?
Shiyan Zheng, Herun Wan, Minnan Luo et al.
Boundary-Aware LLM Augmentation for Low-Resource Event Argument Extraction
Zhaoyue Sun, Gabriele Pergola, Yulan He
BoxSplitGen: A Generative Model for 3D Part Bounding Boxes in Varying Granularity
Juil Koo, Wei-Tung Lin, Chanho Park et al.
BrainHGT: A Hierarchical Graph Transformer for Interpretable Brain Network Analysis
Jiajun Ma, Yongchao Zhang, Chao Zhang et al.
BrainLMM: A Label-Free Framework for Mapping Multi-Semantic Representation in the Human Visual Cortex
Tan Gao, Mufan Xue, Haofang Zheng et al.
Brains vs. Algorithms? How Experts and Students See AI-Generated Distractors
Zifeng Liu, Hai Li, Jie Chao et al.
Branch, or Layer? Zeroth-Order Optimization for Continual Learning of Vision-Language Models
Ziwei Liu, Borui Kang, Wei Li et al.
BrandFusion: Aligning Image Generation with Brand Styles
Parul Gupta, Varun Khurana, Yaman Kumar Singla et al.
BraSTORM: A Dual-Branch Self-Supervised Framework for EEG Representation Learning via Input-Level Spatio-Temporal Decomposition
Yifan Wang, Der-Horng Lee, Bruce X.B. Yu
brat: Aligned Multi-View Embeddings for Brain MRI Analysis
Maxime Kayser, Maksim Gridnev, Wanting Wang et al.
Breach in the Shield: Unveiling the Vulnerabilities of Large Language Models
Runpeng Dai, Run Yang, Fan Zhou et al.
Breadth-First Search vs. Restarting Random Walks for Escaping Uninformed Heuristic Regions
Daniel Platnick, Dawson Tomasz, Eamon Earl et al.
Breakable Machine: A K–12 Classroom Game for Transformative AI Literacy Through Spoofing and eXplainable AI (XAI)
Olli Hilke, Nicolas Pope, Juho Kahila et al.
Breaking Alignment Barriers: TPS-Driven Semantic Correlation Learning for Alignment-Free RGB-T Salient Object Detection
Lupiao Hu, Fasheng Wang, Fangmei Chen et al.