neural network pruning

DropNet: Reducing Neural Network Complexity via Iterative Pruning ICML 2020 Few Shot Network Compression via Cross Distillation AAAI 2020 Greedy Optimization Provably Wins the Lottery: Logarithmic Number of Winning Tickets is Enough NeurIPS 2020 HRank: Filter Pruning Using High-Rank Feature Map CVPR 2020 Is Pruning Compression?: Investigating Pruning Via Network Layer Similarity WACV 2020 Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio AAAI 2020 Learning Sparse Neural Networks for Better Generalization IJCAI 2020 Linear Mode Connectivity and the Lottery Ticket Hypothesis ICML 2020 Logarithmic Pruning is All You Need NeurIPS 2020 Lookahead: A Far-sighted Alternative of Magnitude-based Pruning ICLR 2020 Neural Network Pruning With Residual-Connections and Limited-Data CVPR 2020 One-Shot Pruning of Recurrent Neural Networks by Jacobian Spectrum Evaluation ICLR 2020 Optimal Lottery Tickets via Subset Sum: Logarithmic Over-Parameterization is Sufficient NeurIPS 2020 PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices AAAI 2020 Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks AAAI 2020 Probabilistic Connection Importance Inference and Lossless Compression of Deep Neural Networks ICLR 2020 Proving the Lottery Ticket Hypothesis: Pruning is All You Need ICML 2020 Pruning from Scratch AAAI 2020 Pruning neural networks without any data by iteratively conserving synaptic flow NeurIPS 2020 SCOP: Scientific Control for Reliable Neural Network Pruning NeurIPS 2020 Soft Threshold Weight Reparameterization for Learnable Sparsity ICML 2020 Sparse Weight Activation Training NeurIPS 2020 Spectral Pruning: Compressing Deep Neural Networks via Spectral Analysis and its Generalization Error IJCAI 2020 Squeeze for Sneeze: Compact Neural Networks for Cold and Flu Recognition Interspeech 2020 Supermasks in Superposition NeurIPS 2020