Papers
Lookback Prophet Inequalities
Ziyad Benomar, Dorian Baudry, Vianney Perchet
LookHere: Vision Transformers with Directed Attention Generalize and Extrapolate
Anthony Fuller, Daniel G. Kyrollos, Yousef Yassin et al.
Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering
Jie Ma, Min Hu, Pinghui Wang et al.
Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models
Regev Cohen, Idan Kligvasser, Ehud Rivlin et al.
LoQT: Low-Rank Adapters for Quantized Pretraining
Sebastian Loeschcke, Mads Toftrup, Michael J. Kastoryano et al.
LoRA-GA: Low-Rank Adaptation with Gradient Approximation
Shaowen Wang, Linxi Yu, Jian Li
LoRANN: Low-Rank Matrix Factorization for Approximate Nearest Neighbor Search
Elias Jääsaari, Ville Hyvönen, Teemu Roos
Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics
Jonas Spinner, Victor Bresó, Pim de Haan et al.
Loss Landscape Characterization of Neural Networks without Over-Parametrization
Rustem Islamov, Niccoló Ajroldi, Antonio Orvieto et al.
LoTLIP: Improving Language-Image Pre-training for Long Text Understanding
Wei Wu, Kecheng Zheng, Shuailei Ma et al.
LOVA3: Learning to Visual Question Answering, Asking and Assessment
Henry Hengyuan Zhao, Pan Zhou, Difei Gao et al.
Low Degree Hardness for Broadcasting on Trees
Han Huang, Elchanan Mossel
Lower Bounds and Optimal Algorithms for Non-Smooth Convex Decentralized Optimization over Time-Varying Networks
Dmitry Kovalev, Ekaterina Borodich, Alexander Gasnikov et al.
Lower Bounds of Uniform Stability in Gradient-Based Bilevel Algorithms for Hyperparameter Optimization
Rongzhen Wang, Chenyu Zheng, Guoqiang Wu et al.
Low Precision Local Training is Enough for Federated Learning
Zhiwei Li, Yiqiu Li, Binbin Lin et al.
Low-Rank Optimal Transport through Factor Relaxation with Latent Coupling
Peter Halmos, Xinhao Liu, Julian Gold et al.
LP-3DGS: Learning to Prune 3D Gaussian Splatting
Zhaoliang Zhang, Tianchen Song, Yongjae Lee et al.
LRM-Zero: Training Large Reconstruction Models with Synthesized Data
Desai Xie, Sai Bi, Zhixin Shu et al.
LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing
Xiaonan Nie, Qibin Liu, Fangcheng Fu et al.
LT-Defense: Searching-free Backdoor Defense via Exploiting the Long-tailed Effect
Yixiao Xu, Binxing Fang, Mohan Li et al.
L-TTA: Lightweight Test-Time Adaptation Using a Versatile Stem Layer
Jin Shin, Hyun Kim
LucidAction: A Hierarchical and Multi-model Dataset for Comprehensive Action Quality Assessment
Linfeng Dong, Wei Wang, Yu Qiao et al.
Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Models
Yang Jiao, Shaoxiang Chen, Zequn Jie et al.
Lumina-Next : Making Lumina-T2X Stronger and Faster with Next-DiT
Le Zhuo, Ruoyi Du, Han Xiao et al.
LuSh-NeRF: Lighting up and Sharpening NeRFs for Low-light Scenes
Zefan Qu, Ke Xu, Gerhard Petrus Hancke et al.