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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
Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network Using Truncated Gaussian Approximation
CVPR 2019
Structured Pruning of Neural Networks With Budget-Aware Regularization
CVPR 2019
Variational Bayesian Dropout With a Hierarchical Prior
CVPR 2019
Accelerated Inference Framework of Sparse Neural Network Based on Nested Bitmask Structure
IJCAI 2019
Small and Practical BERT Models for Sequence Labeling
EMNLP 2019
OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks
CVPR 2019
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?
CVPR 2019
Improved Differentiable Architecture Search for Language Modeling and Named Entity Recognition
EMNLP 2019
Sensitive-Sample Fingerprinting of Deep Neural Networks
CVPR 2019
Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss
CVPR 2019
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression
CVPR 2019
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning
CVPR 2019
Variational Convolutional Neural Network Pruning
CVPR 2019
HAWQ: Hessian AWare Quantization of Neural Networks With Mixed-Precision
ICCV 2019
Budget-Aware Adapters for Multi-Domain Learning
ICCV 2019
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation
ICCV 2019
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks
ICCV 2019
A Bayesian Optimization Framework for Neural Network Compression
ICCV 2019
Same, Same But Different: Recovering Neural Network Quantization Error Through Weight Factorization
ICML 2019
RTM Stacking Results for Machine Translation Performance Prediction
ACL 2019
Small and Practical BERT Models for Sequence Labeling
IJCNLP 2019
Efficient Neural Network Compression
CVPR 2019
Resource Constrained Neural Network Architecture Search: Will a Submodularity Assumption Help?
ICCV 2019
Universally Slimmable Networks and Improved Training Techniques
ICCV 2019
Transfer Fine-Tuning: A BERT Case Study
IJCNLP 2019
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