neural network pruning

Pruning of Deep Spiking Neural Networks through Gradient Rewiring IJCAI 2021 Rethinking the Pruning Criteria for Convolutional Neural Network NeurIPS 2021 RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices AAAI 2021 Scaling Up Exact Neural Network Compression by ReLU Stability NeurIPS 2021 Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks JMLR 2021 Spike-Thrift: Towards Energy-Efficient Deep Spiking Neural Networks by Limiting Spiking Activity via Attention-Guided Compression WACV 2021 Statistical mechanical analysis of neural network pruning UAI 2021 Teachers Do More Than Teach: Compressing Image-to-Image Models CVPR 2021 The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization NeurIPS 2021 The Lottery Tickets Hypothesis for Supervised and Self-Supervised Pre-Training in Computer Vision Models CVPR 2021 UMEC: Unified model and embedding compression for efficient recommendation systems ICLR 2021 Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks NeurIPS 2021 Winning Lottery Tickets in Deep Generative Models AAAI 2021 YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design AAAI 2021 You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership NeurIPS 2021 Adaptive Neural Connections for Sparsity Learning WACV 2020 A "Network Pruning Network'' Approach to Deep Model Compression WACV 2020 AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates AAAI 2020 Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-Based Approach CVPR 2020 Bayesian Bits: Unifying Quantization and Pruning NeurIPS 2020 Comparing Rewinding and Fine-tuning in Neural Network Pruning ICLR 2020 DARB: A Density-Adaptive Regular-Block Pruning for Deep Neural Networks AAAI 2020 DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures ICLR 2020 Directional Pruning of Deep Neural Networks NeurIPS 2020 DMCP: Differentiable Markov Channel Pruning for Neural Networks CVPR 2020