Model Compression
2,258 papers
Papers per year
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1
6
4
13
62
86
130
176
212
302
443
615
206
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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