Papers
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 Self-Consistency with Ranking
Maria Marina, Daniil Moskovskiy, Sergey Pletenev 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
Bootstrapped Physically-Primed Neural Networks for Robust T2 Distribution Estimation in Low-SNR Pancreatic MRI
Hadas Ben Atya, Nicole Abramenkov, Noa Mashiah et al.
Bootstrapping Code Translation with Weighted Multilanguage Exploration
Yuhan Wu, Huan Zhang, Wei Cheng et al.
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.
BOSCH: Black-Box Binary Optimization for Short-Context Attention-Head Selection in LLMs
Abbas Ghaddar, Ivan Kobyzev, Boxing Chen 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
Boundary-Guided Policy Optimization for Memory-efficient RL of Diffusion Large Language Models
Nianyi Lin, Jiajie Zhang, Lei Hou et al.
BoxSplitGen: A Generative Model for 3D Part Bounding Boxes in Varying Granularity
Juil Koo, Wei-Tung Lin, Chanho Park et al.
BoYaEval: Evaluating Multimodal Large Language Models on Understanding Ancient Chinese Musical Scores
Jiajia Li, Weizhi Xue, Yao Yao et al.
BracketRank: Large Language Model Document Ranking via Reasoning-based Competitive Elimination
Abdelrahman Abdallah, Mohammed Ali, Bhawna Piryani et al.
BrainATCL: Adaptive Temporal Brain Connectivity Learning for Functional Link Prediction and Age Estimation
Yiran Huang, Amirhossein Nouranizadeh, Christine Ahrends 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.
Brain Tumor Growth Inversion via Differentiable Neural Surrogates
Jonas Weidner, Lucas Zimmer, Ivan Ezhov et al.