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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
From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression
AAAI 2022
Prior Gradient Mask Guided Pruning-Aware Fine-Tuning
AAAI 2022
Playing Lottery Tickets with Vision and Language
AAAI 2022
Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition
AAAI 2022
Equal Bits: Enforcing Equally Distributed Binary Network Weights
AAAI 2022
Towards Fully Sparse Training: Information Restoration with Spatial Similarity
AAAI 2022
Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer
AAAI 2022
SmartIdx: Reducing Communication Cost in Federated Learning by Exploiting the CNNs Structures
AAAI 2022
DeepHardMark: Towards Watermarking Neural Network Hardware
AAAI 2022
Deeply Tensor Compressed Transformers for End-to-End Object Detection
AAAI 2022
Input-Specific Robustness Certification for Randomized Smoothing
AAAI 2022
Prune and Tune Ensembles: Low-Cost Ensemble Learning with Sparse Independent Subnetworks
AAAI 2022
From Fully Trained to Fully Random Embeddings: Improving Neural Machine Translation with Compact Word Embedding Tables
AAAI 2022
Reducing Energy Consumption of Pressure Sensor Calibration Using Polynomial HyperNetworks with Fourier Features
AAAI 2022
A Deep Learning-Based Face Mask Detector for Autonomous Nano-Drones (Student Abstract)
AAAI 2022
Thrifty Neural Architecture Search for Medical Image Segmentation (Student Abstract)
AAAI 2022
Gradient and Mangitude Based Pruning for Sparse Deep Neural Networks
AAAI 2022
MONICA2: Mobile Neural Voice Command Assistants towards Smaller and Smarter
AAAI 2022
PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance
ICML 2022
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks
ICML 2022
Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning
ICML 2022
ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks
ICML 2022
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization
ICML 2022
Be Like Water: Adaptive Floating Point for Machine Learning
ICML 2022
MemSR: Training Memory-efficient Lightweight Model for Image Super-Resolution
ICML 2022
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