Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Application Areas
Machine Learning
›
Application Areas
›
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
DeepReDuce: ReLU Reduction for Fast Private Inference
ICML 2021
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators
ICML 2021
Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference
ICML 2021
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings
ICML 2021
Coded-InvNet for Resilient Prediction Serving Systems
ICML 2021
Versatile Verification of Tree Ensembles
ICML 2021
Distilling Object Detectors with Feature Richness
NIPS 2021
YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design
AAAI 2021
AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks
AAAI 2021
Robust Knowledge Transfer via Hybrid Forward on the Teacher-Student Model
AAAI 2021
Towards Faster Deep Collaborative Filtering via Hierarchical Decision Networks
AAAI 2021
Learning to Augment for Data-scarce Domain BERT Knowledge Distillation
AAAI 2021
OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization
AAAI 2021
Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching
AAAI 2021
Compressing Deep Convolutional Neural Networks by Stacking Low-dimensional Binary Convolution Filters
AAAI 2021
Harmonized Dense Knowledge Distillation Training for Multi-Exit Architectures
AAAI 2021
Data-Free Knowledge Distillation with Soft Targeted Transfer Set Synthesis
AAAI 2021
Step-Ahead Error Feedback for Distributed Training with Compressed Gradient
AAAI 2021
Learning Light-Weight Translation Models from Deep Transformer
AAAI 2021
Reinforced Multi-Teacher Selection for Knowledge Distillation
AAAI 2021
Accelerating Neural Machine Translation with Partial Word Embedding Compression
AAAI 2021
Deeplite NeutrinoTM: A BlackBox Framework for Constrained Deep Learning Model Optimization
AAAI 2021
Improving the Performance-Compatibility Tradeoff with Personalized Objective Functions (Student Abstract)
AAAI 2021
Deep Reinforcement Learning for a Dictionary Based Compression Schema (Student Abstract)
AAAI 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout
NIPS 2021
<
1
…
45
46
47
…
61
>