Papers
11,955 papers found
Lifting Architectural Constraints of Injective Flows
Peter Sorrenson, Felix Draxler, Armand Rousselot et al.
LightHGNN: Distilling Hypergraph Neural Networks into MLPs for 100x Faster Inference
Yifan Feng, Yihe Luo, Shihui Ying et al.
Light-MILPopt: Solving Large-scale Mixed Integer Linear Programs with Lightweight Optimizer and Small-scale Training Dataset
Huigen Ye, Hua Xu, Hongyan Wang
Light Schrödinger Bridge
Alexander Korotin, Nikita Gushchin, Evgeny Burnaev
Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation
Jintao Tong, Yixiong Zou, Yuhua Li et al.
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps
Henry Li, Ronen Basri, Yuval Kluger
Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds
Michael-Andrei Panaitescu-Liess, Yigitcan Kaya, Sicheng Zhu et al.
LILO: Learning Interpretable Libraries by Compressing and Documenting Code
Gabriel Grand, Lionel Wong, Matthew Bowers et al.
Linear attention is (maybe) all you need (to understand Transformer optimization)
Kwangjun Ahn, Xiang Cheng, Minhak Song et al.
Linearity of Relation Decoding in Transformer Language Models
Evan Hernandez, Arnab Sen Sharma, Tal Haklay et al.
Linear Log-Normal Attention with Unbiased Concentration
Yury Nahshan, Joseph Kampeas, Emir Haleva
Linking in Style: Understanding learned features in deep learning models
Maren Wehrheim, Pamela Osuna Vargas, Matthias Kaschube
Lion Secretly Solves a Constrained Optimization: As Lyapunov Predicts
Lizhang Chen, Bo Liu, Kaizhao Liang et al.
Lipschitz Singularities in Diffusion Models
Zhantao Yang, Ruili Feng, Han Zhang et al.
LipSim: A Provably Robust Perceptual Similarity Metric
Sara Ghazanfari, Alexandre Araujo, Prashanth Krishnamurthy et al.
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance
Giung Nam, Byeongho Heo, Juho Lee
LipVoicer: Generating Speech from Silent Videos Guided by Lip Reading
Yochai Yemini, Aviv Shamsian, Lior Bracha et al.
LISO: Lidar-only Self-Supervised 3D Object Detection
Stefan Andreas Baur, Frank Moosmann, Andreas Geiger
Listen, Think, and Understand
Yuan Gong, Hongyin Luo, Alexander H. Liu et al.
LitCab: Lightweight Language Model Calibration over Short- and Long-form Responses
Xin Liu, Muhammad Khalifa, Lu Wang
LLaMA-Adapter: Efficient Fine-tuning of Large Language Models with Zero-initialized Attention
Renrui Zhang, Jiaming Han, Chris Liu et al.
LLaVA-UHD: an LMM Perceiving any Aspect Ratio and High-Resolution Images
Zonghao Guo, Ruyi Xu, Yuan Yao et al.
LLCP: Learning Latent Causal Processes for Reasoning-based Video Question Answer
Guangyi Chen, Yuke Li, Xiao Liu et al.
Llemma: An Open Language Model for Mathematics
Zhangir Azerbayev, Hailey Schoelkopf, Keiran Paster et al.
LLM-Assisted Code Cleaning For Training Accurate Code Generators
Naman Jain, Tianjun Zhang, Wei-Lin Chiang et al.