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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
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks
AAAI 2021
Simple and Effective Stochastic Neural Networks
AAAI 2021
DPFPS: Dynamic and Progressive Filter Pruning for Compressing Convolutional Neural Networks from Scratch
AAAI 2021
SA-BNN: State-Aware Binary Neural Network
AAAI 2021
An Overview of Uncertainty Calibration for Text Classification and the Role of Distillation
ACL 2021
Mirror Descent View for Neural Network Quantization
AISTATS 2021
Improving KernelSHAP: Practical Shapley Value Estimation Using Linear Regression
AISTATS 2021
Robust error bounds for quantised and pruned neural networks
L4DC 2021
Designing a Minimal Retrieve-and-Read System for Open-Domain Question Answering
NAACL 2021
Direction is what you need: Improving Word Embedding Compression in Large Language Models
ACL 2021
Leveraging Sparse Linear Layers for Debuggable Deep Networks
ICML 2021
Towards Oracle Knowledge Distillation with Neural Architecture Search
AAAI 2020
Discrete Model Compression With Resource Constraint for Deep Neural Networks
CVPR 2020
Multi-Dimensional Pruning: A Unified Framework for Model Compression
CVPR 2020
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
CVPR 2020
Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-Based Approach
CVPR 2020
Rethinking Differentiable Search for Mixed-Precision Neural Networks
CVPR 2020
AdderNet: Do We Really Need Multiplications in Deep Learning?
CVPR 2020
Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration
CVPR 2020
AOWS: Adaptive and Optimal Network Width Search With Latency Constraints
CVPR 2020
Butterfly Transform: An Efficient FFT Based Neural Architecture Design
CVPR 2020
Few Sample Knowledge Distillation for Efficient Network Compression
CVPR 2020
Estimating Reachable Sets with Scenario Optimization
L4DC 2020
TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing
ACL 2020
SCOP: Scientific Control for Reliable Neural Network Pruning
NIPS 2020
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