structured pruning

Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM) NeurIPS 2021 NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration CVPR 2021 Only Train Once: A One-Shot Neural Network Training And Pruning Framework NeurIPS 2021 RED : Looking for Redundancies for Data-FreeStructured Compression of Deep Neural Networks NeurIPS 2021 Accelerating Natural Language Understanding in Task-Oriented Dialog ACL 2020 AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates AAAI 2020 DARB: A Density-Adaptive Regular-Block Pruning for Deep Neural Networks AAAI 2020 FastFormers: Highly Efficient Transformer Models for Natural Language Understanding EMNLP 2020 Neuron-level Structured Pruning using Polarization Regularizer NeurIPS 2020 PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices AAAI 2020 Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior EMNLP 2020 Structured Pruning of Large Language Models EMNLP 2020 Auto-Sizing the Transformer Network: Improving Speed, Efficiency, and Performance for Low-Resource Machine Translation EMNLP 2019 EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis ICML 2019 Structured Pruning of Neural Networks With Budget-Aware Regularization CVPR 2019 Towards Optimal Structured CNN Pruning via Generative Adversarial Learning CVPR 2019 Structured Bayesian Pruning via Log-Normal Multiplicative Noise NeurIPS 2017