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neural network pruning

265 papers

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Also known as

NNP

Co-occurring keywords

model compression (3283) lottery ticket hypothesis (103) model pruning (233) network pruning (183) sparse training (77) neural network optimization (1293) neural network (6616) knowledge distillation (3680) weight pruning (57) large language model (12755)

Papers

Channel Permutations for N:M Sparsity NIPS 2021
Against Membership Inference Attack: Pruning is All You Need IJCAI 2021
Teachers Do More Than Teach: Compressing Image-to-Image Models CVPR 2021
Rethinking the Pruning Criteria for Convolutional Neural Network NIPS 2021
DARB: A Density-Adaptive Regular-Block Pruning for Deep Neural Networks AAAI 2020
HRank: Filter Pruning Using High-Rank Feature Map CVPR 2020
Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-Based Approach CVPR 2020
Spectral Pruning: Compressing Deep Neural Networks via Spectral Analysis and its Generalization Error IJCAI 2020
Soft Threshold Weight Reparameterization for Learnable Sparsity ICML 2020
Squeeze for Sneeze: Compact Neural Networks for Cold and Flu Recognition INTERSPEECH 2020
SCOP: Scientific Control for Reliable Neural Network Pruning NIPS 2020
Winning the Lottery with Continuous Sparsification NIPS 2020
Sparse Weight Activation Training NIPS 2020
Pruning neural networks without any data by iteratively conserving synaptic flow NIPS 2020
Top-KAST: Top-K Always Sparse Training NIPS 2020
Proving the Lottery Ticket Hypothesis: Pruning is All You Need ICML 2020
Linear Mode Connectivity and the Lottery Ticket Hypothesis ICML 2020
A "Network Pruning Network'' Approach to Deep Model Compression WACV 2020
Adaptive Neural Connections for Sparsity Learning WACV 2020
Is Pruning Compression?: Investigating Pruning Via Network Layer Similarity WACV 2020
Optimal Lottery Tickets via Subset Sum: Logarithmic Over-Parameterization is Sufficient NIPS 2020
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates AAAI 2020
DMCP: Differentiable Markov Channel Pruning for Neural Networks CVPR 2020
Neural Network Pruning With Residual-Connections and Limited-Data CVPR 2020
Bayesian Bits: Unifying Quantization and Pruning NIPS 2020