compression

Algorithmic causal structure emerging through compression CLeaR 2025 Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression ICML 2025 Compression via Pre-trained Transformers: A Study on Byte-Level Multimodal Data ICML 2025 Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead ICML 2025 DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models ICML 2025 Efficient LiDAR Reflectance Compression via Scanning Serialization ICML 2025 From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories, and Applications ICML 2025 LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression ICLR 2025 MoE-SVD: Structured Mixture-of-Experts LLMs Compression via Singular Value Decomposition ICML 2025 LookupViT: Compressing visual information to a limited number of tokens ECCV 2024 Maestro: Uncovering Low-Rank Structures via Trainable Decomposition ICML 2024 Multimodal Prototyping for cancer survival prediction ICML 2024 Optimal Probability Estimation with Applications to Prediction and Classification COLT 2013