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Model Compression

1674 directly classified papers

Papers per year

Papers

VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models EMNLP 2024
Gradient-based Parameter Selection for Efficient Fine-Tuning CVPR 2024
SpeedLoader: An I/O efficient scheme for heterogeneous and distributed LLM operation NIPS 2024
Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion NIPS 2024
F³-Pruning: A Training-Free and Generalized Pruning Strategy towards Faster and Finer Text-to-Video Synthesis AAAI 2024
Binarized Diffusion Model for Image Super-Resolution NIPS 2024
LION: Implicit Vision Prompt Tuning AAAI 2024
Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models NIPS 2024
IRPruneDet: Efficient Infrared Small Target Detection via Wavelet Structure-Regularized Soft Channel Pruning AAAI 2024
Linearly Decomposing and Recomposing Vision Transformers for Diverse-Scale Models NIPS 2024
MSPE: Multi-Scale Patch Embedding Prompts Vision Transformers to Any Resolution NIPS 2024
RG-GAN: Dynamic Regenerative Pruning for Data-Efficient Generative Adversarial Networks AAAI 2024
Progressive Distillation Based on Masked Generation Feature Method for Knowledge Graph Completion AAAI 2024
SIRIUS : Contexual Sparisty with Correction for Efficient LLMs NIPS 2024
Breaking ReLU Barrier: Generalized MoEfication for Dense Pretrained Models EMNLP 2024
ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization NIPS 2024
SnapKV: LLM Knows What You are Looking for Before Generation NIPS 2024
Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks using the Marginal Likelihood NIPS 2024
Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training NIPS 2024
Adaptive Depth Networks with Skippable Sub-Paths NIPS 2024
Efficient Reinforcement Learning by Discovering Neural Pathways NIPS 2024
Understanding the Role of the Projector in Knowledge Distillation AAAI 2024
SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction AAAI 2024
What Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation AAAI 2024
MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for Vision Tasks NIPS 2024