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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
Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm
NIPS 2022
Knowledge Distillation Transfer Sets and their Impact on Downstream NLU Tasks
EMNLP 2022
Functional Ensemble Distillation
NIPS 2022
Diverse Lottery Tickets Boost Ensemble from a Single Pretrained Model
ACL 2022
DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization
ACL 2022
Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models
NIPS 2022
Pyramid-BERT: Reducing Complexity via Successive Core-set based Token Selection
ACL 2022
When To Prune? A Policy Towards Early Structural Pruning
CVPR 2022
DECORE: Deep Compression With Reinforcement Learning
CVPR 2022
Model Preserving Compression for Neural Networks
NIPS 2022
FT-DeepNets: Fault-Tolerant Convolutional Neural Networks With Kernel-Based Duplication
WACV 2022
From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression
AAAI 2022
LayerConnect: Hypernetwork-Assisted Inter-Layer Connector to Enhance Parameter Efficiency
COLING 2022
EZCrop: Energy-Zoned Channels for Robust Output Pruning
WACV 2022
SDQ: Stochastic Differentiable Quantization with Mixed Precision
ICML 2022
Instance-Aware Dynamic Neural Network Quantization
CVPR 2022
Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning
ICML 2022
Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free
CVPR 2022
A Flexible Multi-Task Model for BERT Serving
ACL 2022
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation
CVPR 2022
HODEC: Towards Efficient High-Order DEcomposed Convolutional Neural Networks
CVPR 2022
Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations
CVPR 2022
Revisiting Random Channel Pruning for Neural Network Compression
CVPR 2022
DiSparse: Disentangled Sparsification for Multitask Model Compression
CVPR 2022
Differentially Private Model Compression
NIPS 2022
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