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Model Compression

1674 directly classified papers

Papers per year

Papers

Data-Distortion Guided Self-Distillation for Deep Neural Networks AAAI 2019
Band-limited Training and Inference for Convolutional Neural Networks ICML 2019
Approximated Oracle Filter Pruning for Destructive CNN Width Optimization ICML 2019
Overcoming Multi-model Forgetting ICML 2019
SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers NIPS 2019
Efficient Language Modeling with Automatic Relevance Determination in Recurrent Neural Networks ACL 2019
Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation AAAI 2019
Depthwise Convolution Is All You Need for Learning Multiple Visual Domains AAAI 2019
Re2EMA: Regularized and Reinitialized Exponential Moving Average for Target Model Update in Object Tracking AAAI 2019
Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs ACL 2019
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation CVPR 2019
On Implicit Filter Level Sparsity in Convolutional Neural Networks CVPR 2019
Auto-Sizing the Transformer Network: Improving Speed, Efficiency, and Performance for Low-Resource Machine Translation EMNLP 2019
From Research to Production and Back: Ludicrously Fast Neural Machine Translation EMNLP 2019
Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses IJCAI 2019
Structured Knowledge Distillation for Semantic Segmentation CVPR 2019
Circulant Binary Convolutional Networks: Enhancing the Performance of 1-Bit DCNNs With Circulant Back Propagation CVPR 2019
Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks CVPR 2019
Efficiency through Auto-Sizing: Notre Dame NLP’s Submission to the WNGT 2019 Efficiency Task EMNLP 2019
CircConv: A Structured Convolution with Low Complexity AAAI 2019
A Neurobiological Evaluation Metric for Neural Network Model Search CVPR 2019
Guided Dropout AAAI 2019
Efficient Quantization for Neural Networks with Binary Weights and Low Bitwidth Activations AAAI 2019
Learning to Sample CVPR 2019
Variational Convolutional Neural Network Pruning CVPR 2019