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Model Compression

1674 directly classified papers

Papers per year

Papers

Feature Quantization for Defending Against Distortion of Images CVPR 2018
Reducing the Computational Complexity of Two-Dimensional LSTMs INTERSPEECH 2017
A Compact DNN: Approaching GoogLeNet-Level Accuracy of Classification and Domain Adaptation CVPR 2017
Designing Energy-Efficient Convolutional Neural Networks Using Energy-Aware Pruning CVPR 2017
A Gift From Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning CVPR 2017
More Is Less: A More Complicated Network With Less Inference Complexity CVPR 2017
Beyond Filters: Compact Feature Map for Portable Deep Model ICML 2017
Clipper: A Low-Latency Online Prediction Serving System NSDI 2017
Weighted-Entropy-Based Quantization for Deep Neural Networks CVPR 2017
Unfolding and Shrinking Neural Machine Translation Ensembles EMNLP 2017
Deep Learning With Low Precision by Half-Wave Gaussian Quantization CVPR 2017
Network Sketching: Exploiting Binary Structure in Deep CNNs CVPR 2017
ECO: Efficient Convolution Operators for Tracking CVPR 2017
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
On Compressing Deep Models by Low Rank and Sparse Decomposition CVPR 2017
Compression-aware Training of Deep Networks NIPS 2017
Hash Embeddings for Efficient Word Representations NIPS 2017
SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization ICML 2017
Towards Compact and Fast Neural Machine Translation Using a Combined Method EMNLP 2017
Low-Rank Bilinear Pooling for Fine-Grained Classification CVPR 2017