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Methodology
← Optimization & Theory
Deep Learning
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Optimization & Theory
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Model Compression
1674 directly classified papers
Papers per year
2012: 1
2013: 2
2014: 2
2015: 7
2016: 9
2017: 27
2018: 51
2019: 79
2020: 189
2021: 165
2022: 206
2023: 207
2024: 325
2025: 399
2026: 5
Papers
VoiceFilter-Lite: Streaming Targeted Voice Separation for On-Device Speech Recognition
INTERSPEECH 2020
Forward and Backward Information Retention for Accurate Binary Neural Networks
CVPR 2020
NeuralScale: Efficient Scaling of Neurons for Resource-Constrained Deep Neural Networks
CVPR 2020
Discrete Model Compression With Resource Constraint for Deep Neural Networks
CVPR 2020
GhostNet: More Features From Cheap Operations
CVPR 2020
BiDet: An Efficient Binarized Object Detector
CVPR 2020
MemNAS: Memory-Efficient Neural Architecture Search With Grow-Trim Learning
CVPR 2020
Frequency Domain Compact 3D Convolutional Neural Networks
CVPR 2020
Structured Compression by Weight Encryption for Unstructured Pruning and Quantization
CVPR 2020
HRank: Filter Pruning Using High-Rank Feature Map
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
Heterogeneous Knowledge Distillation Using Information Flow Modeling
CVPR 2020
Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-Based Approach
CVPR 2020
Towards Unified INT8 Training for Convolutional Neural Network
CVPR 2020
Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration
CVPR 2020
A2dele: Adaptive and Attentive Depth Distiller for Efficient RGB-D Salient Object Detection
CVPR 2020
Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion
CVPR 2020
Inter-Region Affinity Distillation for Road Marking Segmentation
CVPR 2020
Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack
CVPR 2020
Few Sample Knowledge Distillation for Efficient Network Compression
CVPR 2020
HLHLp: Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface
AAAI 2020
Radial and Directional Posteriors for Bayesian Deep Learning
AAAI 2020
Improved Knowledge Distillation via Teacher Assistant
AAAI 2020
Neural Inheritance Relation Guided One-Shot Layer Assignment Search
AAAI 2020
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