model pruning

Pruned Graph Scattering Transforms ICLR 2020 Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior EMNLP 2020 Reducing Transformer Depth on Demand with Structured Dropout ICLR 2020 Residual Sum-Product Networks PGM 2020 Squeeze for Sneeze: Compact Neural Networks for Cold and Flu Recognition Interspeech 2020 Successfully Applying the Stabilized Lottery Ticket Hypothesis to the Transformer Architecture ACL 2020 Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization IJCAI 2020 When BERT Plays the Lottery, All Tickets Are Winning EMNLP 2020 Interpreting and Improving Deep Neural SLU Models via Vocabulary Importance Interspeech 2019 Model Compression with Adversarial Robustness: A Unified Optimization Framework NeurIPS 2019 One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers NeurIPS 2019 SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers NeurIPS 2019 Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling EMNLP 2018 Sparse Persistent RNNs: Squeezing Large Recurrent Networks On-Chip ICLR 2018 Structured Bayesian Pruning via Log-Normal Multiplicative Noise NeurIPS 2017 PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions NeurIPS 2016 Pruning Random Forests for Prediction on a Budget NeurIPS 2016 Global Refinement of Random Forest CVPR 2015 Practical Variational Inference for Neural Networks NeurIPS 2011 Multiple-Instance Pruning For Learning Efficient Cascade Detectors NeurIPS 2007