network pruning

Robust Pruning at Initialization ICLR 2021 Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot? NeurIPS 2021 Scalable Differential Privacy With Sparse Network Finetuning CVPR 2021 Self-Damaging Contrastive Learning ICML 2021 Simple and Effective Stochastic Neural Networks AAAI 2021 The Elastic Lottery Ticket Hypothesis NeurIPS 2021 Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling ICML 2021 Troubleshooting Blind Image Quality Models in the Wild CVPR 2021 Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory NeurIPS 2021 Winning Lottery Tickets in Deep Generative Models AAAI 2021 APQ: Joint Search for Network Architecture, Pruning and Quantization Policy CVPR 2020 ASAP: Architecture Search, Anneal and Prune AISTATS 2020 A Signal Propagation Perspective for Pruning Neural Networks at Initialization ICLR 2020 A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario AAAI 2020 Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-Based Approach CVPR 2020 Beyond Network Pruning: a Joint Search-and-Training Approach IJCAI 2020 Cogradient Descent for Bilinear Optimization CVPR 2020 Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion CVPR 2020 DropNet: Reducing Neural Network Complexity via Iterative Pruning ICML 2020 Dynamic Network Pruning with Interpretable Layerwise Channel Selection AAAI 2020 Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers ICLR 2020 Few Sample Knowledge Distillation for Efficient Network Compression CVPR 2020 Few Shot Network Compression via Cross Distillation AAAI 2020 Filter Grafting for Deep Neural Networks CVPR 2020 Finding trainable sparse networks through Neural Tangent Transfer ICML 2020