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Model Compression

1,785 papers

Papers per year

7
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419
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Papers

Approximation Algorithms for Cascading Prediction Models ICML 2018
StrassenNets: Deep Learning with a Multiplication Budget ICML 2018
Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions ICML 2018
SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation IJCAI 2018
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks IJCAI 2018
Network Approximation using Tensor Sketching IJCAI 2018
Deterministic Binary Filters for Convolutional Neural Networks IJCAI 2018
Inference-Invariant Transformation of Batch Normalization for Domain Adaptation of Acoustic Models INTERSPEECH 2018
Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks INTERSPEECH 2018
Pieces of Eight: 8-bit Neural Machine Translation NAACL 2018
Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee NIPS 2017
SVD-Softmax: Fast Softmax Approximation on Large Vocabulary Neural Networks NIPS 2017
Bayesian Compression for Deep Learning NIPS 2017
Runtime Neural Pruning NIPS 2017
Towards Accurate Binary Convolutional Neural Network NIPS 2017
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon NIPS 2017
Structured Bayesian Pruning via Log-Normal Multiplicative Noise NIPS 2017
Compression-aware Training of Deep Networks NIPS 2017
Hash Embeddings for Efficient Word Representations NIPS 2017
Low-Rank Bilinear Pooling for Fine-Grained Classification CVPR 2017
Deep Roots: Improving CNN Efficiency With Hierarchical Filter Groups CVPR 2017
Fixed-Point Factorized Networks CVPR 2017
A Gift From Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning CVPR 2017
Weighted-Entropy-Based Quantization for Deep Neural Networks CVPR 2017
A Compact DNN: Approaching GoogLeNet-Level Accuracy of Classification and Domain Adaptation CVPR 2017