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Model Compression
1503 directly classified papers
Papers per year
2006: 2
2010: 2
2011: 1
2013: 5
2014: 3
2015: 4
2016: 3
2017: 14
2018: 36
2019: 55
2020: 117
2021: 171
2022: 172
2023: 175
2024: 331
2025: 402
2026: 10
Papers
Adaptive Depth Networks with Skippable Sub-Paths
NIPS 2024
A Privacy Preserving Federated Learning (PPFL) Based Cognitive Digital Twin (CDT) Framework for Smart Cities
AAAI 2024
Effective Data Distillation for Tabular Datasets (Student Abstract)
AAAI 2024
Linearly Decomposing and Recomposing Vision Transformers for Diverse-Scale Models
NIPS 2024
Stylus: Automatic Adapter Selection for Diffusion Models
NIPS 2024
Norm Tweaking: High-Performance Low-Bit Quantization of Large Language Models
AAAI 2024
Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models
NIPS 2024
Binarized Diffusion Model for Image Super-Resolution
NIPS 2024
EFUF: Efficient Fine-Grained Unlearning Framework for Mitigating Hallucinations in Multimodal Large Language Models
EMNLP 2024
A Comprehensive Evaluation of Quantization Strategies for Large Language Models
ACL 2024
Find the Lady: Permutation and Re-synchronization of Deep Neural Networks
AAAI 2024
Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training
NIPS 2024
Cluster-Learngene: Inheriting Adaptive Clusters for Vision Transformers
NIPS 2024
Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks using the Marginal Likelihood
NIPS 2024
ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization
NIPS 2024
Learning Performance Maximizing Ensembles with Explainability Guarantees
AAAI 2024
Concealing Sensitive Samples against Gradient Leakage in Federated Learning
AAAI 2024
SIRIUS : Contexual Sparisty with Correction for Efficient LLMs
NIPS 2024
SOI: Scaling Down Computational Complexity by Estimating Partial States of the Model
NIPS 2024
PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher
NIPS 2024
Efficient Reinforcement Learning by Discovering Neural Pathways
NIPS 2024
WRP: Weight Recover Prune for Structured Sparsity
ACL 2024
Integer Is Enough: When Vertical Federated Learning Meets Rounding
AAAI 2024
ESPACE: Dimensionality Reduction of Activations for Model Compression
NIPS 2024
Sparse High Rank Adapters
NIPS 2024
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