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Model Compression

1,952 papers

Papers per year

6
114
489
'15
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'25

Papers

T-Basis: a Compact Representation for Neural Networks ICML 2020
DropNet: Reducing Neural Network Complexity via Iterative Pruning ICML 2020
Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources ICML 2020
Variational Bayesian Quantization ICML 2020
Channel Pruning via Automatic Structure Search IJCAI 2020
Fully Nested Neural Network for Adaptive Compression and Quantization IJCAI 2020
Soft Threshold Ternary Networks IJCAI 2020
AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search IJCAI 2020
Beyond Network Pruning: a Joint Search-and-Training Approach IJCAI 2020
P-KDGAN: Progressive Knowledge Distillation with GANs for One-class Novelty Detection IJCAI 2020
CDC: Classification Driven Compression for Bandwidth Efficient Edge-Cloud Collaborative Deep Learning IJCAI 2020
Towards Fully 8-bit Integer Inference for the Transformer Model IJCAI 2020
Playing Atari with Six Neurons (Extended Abstract) IJCAI 2020
Compressing LSTM Networks with Hierarchical Coarse-Grain Sparsity INTERSPEECH 2020
Iterative Compression of End-to-End ASR Model Using AutoML INTERSPEECH 2020
Sparse Mixture of Local Experts for Efficient Speech Enhancement INTERSPEECH 2020
Squeeze for Sneeze: Compact Neural Networks for Cold and Flu Recognition INTERSPEECH 2020
A Tensor Compiler for Unified Machine Learning Prediction Serving OSDI 2020
Do OS abstractions make sense on FPGAs? OSDI 2020
Structured Compression of Deep Neural Networks with Debiased Elastic Group LASSO WACV 2020
A "Network Pruning Network'' Approach to Deep Model Compression WACV 2020
Filter Distillation for Network Compression WACV 2020
Adaptive Neural Connections for Sparsity Learning WACV 2020
Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask NIPS 2019
Model Compression with Adversarial Robustness: A Unified Optimization Framework NIPS 2019