weight pruning

Harmonious Coexistence of Structured Weight Pruning and Ternarization for Deep Neural Networks AAAI 2020 Inducing and Exploiting Activation Sparsity for Fast Inference on Deep Neural Networks ICML 2020 LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression COLING 2020 Movement Pruning: Adaptive Sparsity by Fine-Tuning NeurIPS 2020 PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices AAAI 2020 Picking Winning Tickets Before Training by Preserving Gradient Flow ICLR 2020 Pruning Filter in Filter NeurIPS 2020 Self-Supervised Generative Adversarial Compression NeurIPS 2020 Soft Threshold Weight Reparameterization for Learnable Sparsity ICML 2020 Structured Sparsification of Gated Recurrent Neural Networks AAAI 2020 Uncertainty-guided Continual Learning with Bayesian Neural Networks ICLR 2020 Adversarial Robustness vs. Model Compression, or Both? ICCV 2019 Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask NeurIPS 2019 Double Viterbi: Weight Encoding for High Compression Ratio and Fast On-Chip Reconstruction for Deep Neural Network ICLR 2019 Efficient Language Modeling with Automatic Relevance Determination in Recurrent Neural Networks ACL 2019 Focused Quantization for Sparse CNNs NeurIPS 2019 One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers NeurIPS 2019 Rethinking the Value of Network Pruning ICLR 2019 RNN Architecture Learning with Sparse Regularization EMNLP 2019 Efficient Neural Audio Synthesis ICML 2018 “Learning-Compression” Algorithms for Neural Net Pruning CVPR 2018 Viterbi-based Pruning for Sparse Matrix with Fixed and High Index Compression Ratio ICLR 2018 Node Pruning Based on Entropy of Weights and Node Activity for Small-Footprint Acoustic Model Based on Deep Neural Networks Interspeech 2017 Towards Compact and Fast Neural Machine Translation Using a Combined Method EMNLP 2017 Practical Variational Inference for Neural Networks NeurIPS 2011