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neural network compression

114 papers

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Also known as

NN

Co-occurring keywords

model compression (3283) neural network (6616) knowledge distillation (3680) model quantization (279) neural network pruning (265) neural network optimization (1293) model pruning (233) convolutional neural network (4216) transfer learning (5442) network pruning (183)

Papers

Don’t Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript ICML 2020
Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration CVPR 2020
Deep Implicit Volume Compression CVPR 2020
FIREPruning: Learning-based Filter Pruning for Convolutional Neural Network Compression ACML 2020
Pruning Filter in Filter NIPS 2020
Low-Rank Compression of Neural Nets: Learning the Rank of Each Layer CVPR 2020
Multiclass Neural Network Minimization via Tropical Newton Polytope Approximation ICML 2020
Channel Pruning via Automatic Structure Search IJCAI 2020
T-Basis: a Compact Representation for Neural Networks ICML 2020
Exploring the Limits of Simple Learners in Knowledge Distillation for Document Classification with DocBERT ACL 2020
Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-Based Approach CVPR 2020
Squeeze for Sneeze: Compact Neural Networks for Cold and Flu Recognition INTERSPEECH 2020
WoodFisher: Efficient Second-Order Approximation for Neural Network Compression NIPS 2020
Understanding Generalization in Deep Learning via Tensor Methods AISTATS 2020
TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing ACL 2020
Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization AISTATS 2020
Structured Sparsification of Gated Recurrent Neural Networks AAAI 2020
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices AAAI 2020
KAMA-NNs: Low-dimensional Rotation Based Neural Networks AISTATS 2019
Approximated Oracle Filter Pruning for Destructive CNN Width Optimization ICML 2019
HAQ: Hardware-Aware Automated Quantization With Mixed Precision CVPR 2019
Private Model Compression via Knowledge Distillation AAAI 2019
EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis ICML 2019
ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model CVPR 2019
OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks CVPR 2019