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Methodology
← Core AI
Artificial Intelligence
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Core AI
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Model Compression
1928 directly classified papers
Papers per year
2013: 2
2014: 1
2015: 6
2016: 4
2017: 13
2018: 47
2019: 81
2020: 114
2021: 172
2022: 191
2023: 272
2024: 370
2025: 489
2026: 166
Papers
Balanced Column-Wise Block Pruning for Maximizing GPU Parallelism
AAAI 2023
On Prefix-tuning for Lightweight Out-of-distribution Detection
ACL 2023
DIVISION: Memory Efficient Training via Dual Activation Precision
ICML 2023
FacT: Factor-Tuning for Lightweight Adaptation on Vision Transformer
AAAI 2023
Pruning Pre-trained Language Models Without Fine-Tuning
ACL 2023
GEC-DePenD: Non-Autoregressive Grammatical Error Correction with Decoupled Permutation and Decoding
ACL 2023
Prefix Propagation: Parameter-Efficient Tuning for Long Sequences
ACL 2023
GOHSP: A Unified Framework of Graph and Optimization-Based Heterogeneous Structured Pruning for Vision Transformer
AAAI 2023
Fast and Accurate Binary Neural Networks Based on Depth-Width Reshaping
AAAI 2023
A Survey on Model Compression and Acceleration for Pretrained Language Models
AAAI 2023
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks
AAAI 2023
Dynamic Structure Pruning for Compressing CNNs
AAAI 2023
Safety Aware Neural Pruning for Deep Reinforcement Learning (Student Abstract)
AAAI 2023
OMPQ: Orthogonal Mixed Precision Quantization
AAAI 2023
Learning Adversarially Robust Sparse Networks via Weight Reparameterization
AAAI 2023
Complement Sparsification: Low-Overhead Model Pruning for Federated Learning
AAAI 2023
Efficient Distributed Inference of Deep Neural Networks via Restructuring and Pruning
AAAI 2023
Parameter-efficient Weight Ensembling Facilitates Task-level Knowledge Transfer
ACL 2023
Self-Distilled Quantization: Achieving High Compression Rates in Transformer-Based Language Models
ACL 2023
OpenDelta: A Plug-and-play Library for Parameter-efficient Adaptation of Pre-trained Models
ACL 2023
MobileNMT: Enabling Translation in 15MB and 30ms
ACL 2023
PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models
ACL 2023
An Exploratory Study on Model Compression for Text-to-SQL
ACL 2023
PruMUX: Augmenting Data Multiplexing with Model Compression
ACL 2023
A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems
NIPS 2023
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