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Model Compression

1674 directly classified papers

Papers per year

Papers

Private Model Compression via Knowledge Distillation AAAI 2019
Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask NIPS 2019
Focused Quantization for Sparse CNNs NIPS 2019
Efficient Multi-Domain Learning by Covariance Normalization CVPR 2019
Enhanced Bayesian Compression via Deep Reinforcement Learning CVPR 2019
HAQ: Hardware-Aware Automated Quantization With Mixed Precision CVPR 2019
Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video CVPR 2019
Cross Domain Model Compression by Structurally Weight Sharing CVPR 2019
Cascaded Projection: End-To-End Network Compression and Acceleration CVPR 2019
ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model CVPR 2019
SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization CVPR 2019
Importance Estimation for Neural Network Pruning CVPR 2019
Hybrid 8-bit Floating Point (HFP8) Training and Inference for Deep Neural Networks NIPS 2019
Dynamic Recursive Neural Network CVPR 2019
Quantization Networks CVPR 2019
IRLAS: Inverse Reinforcement Learning for Architecture Search CVPR 2019
Fully Learnable Group Convolution for Acceleration of Deep Neural Networks CVPR 2019
Structured Pruning of Neural Networks With Budget-Aware Regularization CVPR 2019
MBS: Macroblock Scaling for CNN Model Reduction CVPR 2019
Multi-Precision Quantized Neural Networks via Encoding Decomposition of {-1,+1} AAAI 2019
RePr: Improved Training of Convolutional Filters CVPR 2019
On-device Structured and Context Partitioned Projection Networks ACL 2019
Data-Driven Neuron Allocation for Scale Aggregation Networks CVPR 2019
Regularizing Activation Distribution for Training Binarized Deep Networks CVPR 2019
Deep Neural Network Quantization via Layer-Wise Optimization Using Limited Training Data AAAI 2019