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Model Compression

1503 directly classified papers

Papers per year

Papers

Adversarially Robust Distillation AAAI 2020
Load What You Need: Smaller Versions of Mutililingual BERT EMNLP 2020
Neural Architecture Search for Lightweight Non-Local Networks CVPR 2020
The Knowledge Within: Methods for Data-Free Model Compression CVPR 2020
Low-Rank Compression of Neural Nets: Learning the Rank of Each Layer CVPR 2020
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression CVPR 2020
Towards Efficient Model Compression via Learned Global Ranking CVPR 2020
AdaBits: Neural Network Quantization With Adaptive Bit-Widths CVPR 2020
Universal Source-Free Domain Adaptation CVPR 2020
MemNAS: Memory-Efficient Neural Architecture Search With Grow-Trim Learning CVPR 2020
Mimic and Conquer: Heterogeneous Tree Structure Distillation for Syntactic NLP EMNLP 2020
RTN: Reparameterized Ternary Network AAAI 2020
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates AAAI 2020
Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio AAAI 2020
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices AAAI 2020
Improved Knowledge Distillation via Teacher Assistant AAAI 2020
Radial and Directional Posteriors for Bayesian Deep Learning AAAI 2020
DARB: A Density-Adaptive Regular-Block Pruning for Deep Neural Networks AAAI 2020
DFQF: Data Free Quantization-aware Fine-tuning ACML 2020
Extreme Model Compression for On-device Natural Language Understanding COLING 2020
Learning Sparse Neural Networks for Better Generalization IJCAI 2020
CDC: Classification Driven Compression for Bandwidth Efficient Edge-Cloud Collaborative Deep Learning IJCAI 2020
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices ACL 2020
FastBERT: a Self-distilling BERT with Adaptive Inference Time ACL 2020
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing ACL 2020