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Model Compression

1503 directly classified papers

Papers per year

Papers

T-Basis: a Compact Representation for Neural Networks ICML 2020
FetchSGD: Communication-Efficient Federated Learning with Sketching ICML 2020
Multiclass Neural Network Minimization via Tropical Newton Polytope Approximation ICML 2020
DeltaGrad: Rapid retraining of machine learning models ICML 2020
DropNet: Reducing Neural Network Complexity via Iterative Pruning ICML 2020
ASAP: Architecture Search, Anneal and Prune AISTATS 2020
Compressing Pre-trained Language Models by Matrix Decomposition AACL 2020
Lightweight Text Classifier using Sinusoidal Positional Encoding AACL 2020
Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection ICML 2020
Mix-n-Match : Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning ICML 2020
Go Wide, Then Narrow: Efficient Training of Deep Thin Networks ICML 2020
Online Knowledge Distillation via Collaborative Learning CVPR 2020
Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack CVPR 2020
Binarizing MobileNet via Evolution-Based Searching CVPR 2020
ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection WACV 2020
Adaptive Loss-Aware Quantization for Multi-Bit Networks CVPR 2020
On the Sparsity of Neural Machine Translation Models EMNLP 2020
BERT-EMD: Many-to-Many Layer Mapping for BERT Compression with Earth Mover’s Distance EMNLP 2020
LibKGE - A knowledge graph embedding library for reproducible research EMNLP 2020
Accuracy Booster: Performance Boosting using Feature Map Re-calibration WACV 2020
Large Product Key Memory for Pretrained Language Models EMNLP 2020
TinyBERT: Distilling BERT for Natural Language Understanding EMNLP 2020
Tensorized Embedding Layers EMNLP 2020
Rank and run-time aware compression of NLP Applications EMNLP 2020
End to End Binarized Neural Networks for Text Classification EMNLP 2020