Papers
11,015 papers found
Koopman-based generalization bound: New aspect for full-rank weights
Yuka Hashimoto, Sho Sonoda, Isao Ishikawa et al.
Kosmos-G: Generating Images in Context with Multimodal Large Language Models
Xichen Pan, Li Dong, Shaohan Huang et al.
KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement
Zhangyang Gao, Cheng Tan, Xingran Chen et al.
L2MAC: Large Language Model Automatic Computer for Extensive Code Generation
Samuel Holt, Max Ruiz Luyten, Mihaela van der Schaar
L2P-MIP: Learning to Presolve for Mixed Integer Programming
Chang Liu, Zhichen Dong, Haobo Ma et al.
Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models
Shaofei Shen, Chenhao Zhang, Yawen Zhao et al.
LabelDP-Pro: Learning with Label Differential Privacy via Projections
Badih Ghazi, Yangsibo Huang, Pritish Kamath et al.
Label-Focused Inductive Bias over Latent Object Features in Visual Classification
Ilmin Kang, HyounYoung Bae, Kangil Kim
Label-free Node Classification on Graphs with Large Language Models (LLMs)
Zhikai Chen, Haitao Mao, Hongzhi Wen et al.
Label-Noise Robust Diffusion Models
Byeonghu Na, Yeongmin Kim, HeeSun Bae et al.
Lagrangian Flow Networks for Conservation Laws
Fabricio Arend Torres, Marcello Massimo Negri, Marco Inversi et al.
LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving
Tianyu Li, Peijin Jia, Bangjun Wang et al.
Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited
Lu Yu, Avetik Karagulyan, Arnak S. Dalalyan
LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment
Bin Zhu, Bin Lin, Munan Ning et al.
Language Control Diffusion: Efficiently Scaling through Space, Time, and Tasks
Edwin Zhang, Yujie Lu, Shinda Huang et al.
Language-Informed Visual Concept Learning
Sharon Lee, Yunzhi Zhang, Shangzhe Wu et al.
Language-Interfaced Tabular Oversampling via Progressive Imputation and Self-Authentication
June Yong Yang, Geondo Park, Joowon Kim et al.
Language Model Beats Diffusion - Tokenizer is key to visual generation
Lijun Yu, Jose Lezama, Nitesh Bharadwaj Gundavarapu et al.
Language Model Cascades: Token-Level Uncertainty And Beyond
Neha Gupta, Harikrishna Narasimhan, Wittawat Jitkrittum et al.
Language Model Decoding as Direct Metrics Optimization
Haozhe Ji, Pei Ke, Hongning Wang et al.
Language Model Detectors Are Easily Optimized Against
Charlotte Nicks, Eric Mitchell, Rafael Rafailov et al.
Language Modeling Is Compression
Gregoire Deletang, Anian Ruoss, Paul-Ambroise Duquenne et al.
Language Model Inversion
John Xavier Morris, Wenting Zhao, Justin T Chiu et al.
Language Model Self-improvement by Reinforcement Learning Contemplation
Jing-Cheng Pang, Pengyuan Wang, Kaiyuan Li et al.
Language Models Represent Space and Time
Wes Gurnee, Max Tegmark