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Model Compression

1928 directly classified papers

Papers per year

Papers

Structured Multi-Hashing for Model Compression CVPR 2020
ZeroQ: A Novel Zero Shot Quantization Framework CVPR 2020
Binarizing MobileNet via Evolution-Based Searching CVPR 2020
Squeeze for Sneeze: Compact Neural Networks for Cold and Flu Recognition INTERSPEECH 2020
Rank and run-time aware compression of NLP Applications EMNLP 2020
Sparse Mixture of Local Experts for Efficient Speech Enhancement INTERSPEECH 2020
Tensorized Embedding Layers EMNLP 2020
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing EMNLP 2020
Ensemble Distillation for Structured Prediction: Calibrated, Accurate, Fast—Choose Three EMNLP 2020
BERT-EMD: Many-to-Many Layer Mapping for BERT Compression with Earth Mover’s Distance EMNLP 2020
Universal Physical Camouflage Attacks on Object Detectors CVPR 2020
Adaptive Neural Connections for Sparsity Learning WACV 2020
Filter Distillation for Network Compression WACV 2020
Structured Compression of Deep Neural Networks with Debiased Elastic Group LASSO WACV 2020
Belief Propagation Neural Networks NIPS 2020
A Study on Encodings for Neural Architecture Search NIPS 2020
Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot NIPS 2020
A Tensor Compiler for Unified Machine Learning Prediction Serving OSDI 2020
Fully Quantized Transformer for Machine Translation EMNLP 2020
Structured Pruning of Large Language Models EMNLP 2020
Light Multi-Segment Activation for Model Compression AAAI 2020
Protecting Geolocation Privacy of Photo Collections AAAI 2020
Collaborative Distillation for Ultra-Resolution Universal Style Transfer CVPR 2020
Neural Network Pruning With Residual-Connections and Limited-Data CVPR 2020
Revisiting Knowledge Distillation via Label Smoothing Regularization CVPR 2020