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model compression

3283 papers

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MC

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knowledge distillation (3680) large language model (12755) neural network (6616) efficient computing (779) neural network optimization (1293) transfer learning (5442) convolutional neural network (4216) neural network pruning (265) language model (4573) parameter efficiency (415)

Papers

IA-NET: Acceleration and Compression of Speech Enhancement Using Integer-Adder Deep Neural Network INTERSPEECH 2019
Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers IJCAI 2019
Efficient Language Modeling with Automatic Relevance Determination in Recurrent Neural Networks ACL 2019
Multi-Precision Quantized Neural Networks via Encoding Decomposition of {-1,+1} AAAI 2019
Private Model Compression via Knowledge Distillation AAAI 2019
Deep Neural Network Quantization via Layer-Wise Optimization Using Limited Training Data AAAI 2019
Rate Distortion For Model Compression:From Theory To Practice ICML 2019
Memory-Optimal Direct Convolutions for Maximizing Classification Accuracy in Embedded Applications ICML 2019
Network Recasting: A Universal Method for Network Architecture Transformation AAAI 2019
Balanced Sparsity for Efficient DNN Inference on GPU AAAI 2019
MEAL: Multi-Model Ensemble via Adversarial Learning AAAI 2019
Efficient Quantization for Neural Networks with Binary Weights and Low Bitwidth Activations AAAI 2019
On-device Structured and Context Partitioned Projection Networks ACL 2019
NeuroX: A Toolkit for Analyzing Individual Neurons in Neural Networks AAAI 2019
Learning Low-precision Neural Networks without Straight-Through Estimator (STE) IJCAI 2019
Auto-Sizing the Transformer Network: Improving Speed, Efficiency, and Performance for Low-Resource Machine Translation EMNLP 2019
Cross Domain Model Compression by Structurally Weight Sharing CVPR 2019
Data-Driven Neuron Allocation for Scale Aggregation Networks CVPR 2019
Learning Channel-Wise Interactions for Binary Convolutional Neural Networks CVPR 2019
Proximal Mean-Field for Neural Network Quantization ICCV 2019
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks ICCV 2019
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation ICCV 2019
Data-Free Learning of Student Networks ICCV 2019
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning ICCV 2019
Co-Evolutionary Compression for Unpaired Image Translation ICCV 2019