Papers
21,849 papers found
Binocular-Guided 3D Gaussian Splatting with View Consistency for Sparse View Synthesis
Liang Han, Junsheng Zhou, Yu-Shen Liu et al.
Biologically Inspired Learning Model for Instructed Vision
Roy Abel, Shimon Ullman
Biomedical Visual Instruction Tuning with Clinician Preference Alignment
Hejie Cui, Lingjun Mao, Xin Liang et al.
BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity
Zahra Gharaee, Scott C. Lowe, ZeMing Gong et al.
BioTrove: A Large Curated Image Dataset Enabling AI for Biodiversity
Chih-Hsuan Yang, Ben Feuer, Zaki Jubery et al.
BiScope: AI-generated Text Detection by Checking Memorization of Preceding Tokens
Hanxi Guo, Siyuan Cheng, Xiaolong Jin et al.
Bisimulation Metrics are Optimal Transport Distances, and Can be Computed Efficiently
Sergio Calo, Anders Jonsson, Gergely Neu et al.
bit2bit: 1-bit quanta video reconstruction via self-supervised photon prediction
Yehe Liu, Alexander Krull, Hector Basevi et al.
BitDelta: Your Fine-Tune May Only Be Worth One Bit
James Liu, Guangxuan Xiao, Kai Li et al.
BitsFusion: 1.99 bits Weight Quantization of Diffusion Model
Yang Sui, Yanyu Li, Anil Kag et al.
BiVLC: Extending Vision-Language Compositionality Evaluation with Text-to-Image Retrieval
Imanol Miranda, Ander Salaberria, Eneko Agirre et al.
Black-Box Forgetting
Yusuke Kuwana, Yuta Goto, Takashi Shibata et al.
BLAST: Block-Level Adaptive Structured Matrices for Efficient Deep Neural Network Inference
Changwoo Lee, Soo Min Kwon, Qing Qu et al.
BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages
Junho Myung, Nayeon Lee, Yi Zhou et al.
Blind Image Restoration via Fast Diffusion Inversion
Hamadi Chihaoui, Abdelhak Lemkhenter, Paolo Favaro
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
Yibin Wang, Haizhou Shi, Ligong Han et al.
Block Sparse Bayesian Learning: A Diversified Scheme
Yanhao Zhang, Zhihan Zhu, Yong Xia
Block Transformer: Global-to-Local Language Modeling for Fast Inference
Namgyu Ho, Sangmin Bae, Taehyeon Kim et al.
BLURD: Benchmarking and Learning using a Unified Rendering and Diffusion Model
Boris Repasky, Anthony Dick, Ehsan Abbasnejad
B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory
Luca Zancato, Arjun Seshadri, Yonatan Dukler et al.
BMRS: Bayesian Model Reduction for Structured Pruning
Dustin Wright, Christian Igel, Raghavendra Selvan
BOLD: Boolean Logic Deep Learning
Van Minh Nguyen, Cristian Ocampo, Aymen Askri et al.
BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling
Lin Gui, Cristina Gârbacea, Victor Veitch
BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping
Taolin Zhang, Jinpeng Wang, Hang Guo et al.
Boosted Conformal Prediction Intervals
Ran Xie, Rina Foygel Barber, Emmanuel J. Candès