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Model Compression

2,258 papers

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Papers

Cooperative Pruning in Cross-Domain Deep Neural Network Compression IJCAI 2019 COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning IJCAI 2019 Cross Domain Model Compression by Structurally Weight Sharing CVPR 2019 Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds ICLR 2019 Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask NeurIPS 2019 Deep Neural Network Quantization via Layer-Wise Optimization Using Limited Training Data AAAI 2019 DiffChaser: Detecting Disagreements for Deep Neural Networks IJCAI 2019 Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks ICCV 2019 Double Viterbi: Weight Encoding for High Compression Ratio and Fast On-Chip Reconstruction for Deep Neural Network ICLR 2019 ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model CVPR 2019 Efficient Neural Network Compression CVPR 2019 Enhanced Bayesian Compression via Deep Reinforcement Learning CVPR 2019 Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression CVPR 2019 FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search CVPR 2019 Flambé: A Customizable Framework for Machine Learning Experiments ACL 2019 Fully Quantized Network for Object Detection CVPR 2019 Generation-Distillation for Efficient Natural Language Understanding in Low-Data Settings EMNLP 2019 Generative Well-intentioned Networks NeurIPS 2019 HAWQ: Hessian AWare Quantization of Neural Networks With Mixed-Precision ICCV 2019 IA-NET: Acceleration and Compression of Speech Enhancement Using Integer-Adder Deep Neural Network Interspeech 2019 Importance Estimation for Neural Network Pruning CVPR 2019 Improved Differentiable Architecture Search for Language Modeling and Named Entity Recognition EMNLP 2019 Improving Neural Network Quantization without Retraining using Outlier Channel Splitting ICML 2019 Knowledge Distillation via Instance Relationship Graph CVPR 2019 Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization NeurIPS 2019