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Model Compression

1928 directly classified papers

Papers per year

Papers

Weightless: Lossy weight encoding for deep neural network compression ICML 2018
Statistical Model Compression for Small-Footprint Natural Language Understanding INTERSPEECH 2018
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices CVPR 2018
Mobile Video Object Detection With Temporally-Aware Feature Maps CVPR 2018
Multi-frame Quantization of LSF Parameters Using a Deep Autoencoder and Pyramid Vector Quantizer INTERSPEECH 2018
KDGAN: Knowledge Distillation with Generative Adversarial Networks NIPS 2018
Designing by Training: Acceleration Neural Network for Fast High-Dimensional Convolution NIPS 2018
Bayesian Compression for Natural Language Processing EMNLP 2018
Learning sparse neural networks via sensitivity-driven regularization NIPS 2018
Approximation Algorithms for Cascading Prediction Models ICML 2018
Accelerating Neural Transformer via an Average Attention Network ACL 2018
TAPAS: Tricks to Accelerate (encrypted) Prediction As a Service ICML 2018
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks CVPR 2018
A prototype finite-state morphological analyser for Chukchi COLING 2018
Tailoring Neural Architectures for Translating from Morphologically Rich Languages COLING 2018
“Learning-Compression” Algorithms for Neural Net Pruning CVPR 2018
Two-Step Quantization for Low-Bit Neural Networks CVPR 2018
Explicit Loss-Error-Aware Quantization for Low-Bit Deep Neural Networks CVPR 2018
CNN Driven Sparse Multi-Level B-Spline Image Registration CVPR 2018
NISP: Pruning Networks Using Neuron Importance Score Propagation CVPR 2018
Sparse DNNs with Improved Adversarial Robustness NIPS 2018
Discrimination-aware Channel Pruning for Deep Neural Networks NIPS 2018
Paraphrasing Complex Network: Network Compression via Factor Transfer NIPS 2018
Analyzing Knowledge Distillation in Neural Machine Translation EMNLP 2018
TETRIS: TilE-matching the TRemendous Irregular Sparsity NIPS 2018