sparse training

DiSparse: Disentangled Sparsification for Multitask Model Compression CVPR 2022 DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training ICML 2022 Dynamic Forward and Backward Sparse Training (DFBST): Accelerated Deep Learning through Completely Sparse Training Schedule ACML 2022 Exposing and Exploiting Fine-Grained Block Structures for Fast and Accurate Sparse Training NeurIPS 2022 Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better AAAI 2022 Get More at Once: Alternating Sparse Training with Gradient Correction NeurIPS 2022 Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training NeurIPS 2022 Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, And No Retraining ICLR 2022 Lottery Tickets on a Data Diet: Finding Initializations with Sparse Trainable Networks NeurIPS 2022 Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach NeurIPS 2022 Monarch: Expressive Structured Matrices for Efficient and Accurate Training ICML 2022 Parameter-Efficient Sparsity for Large Language Models Fine-Tuning IJCAI 2022 Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models ICLR 2022 Plant 'n' Seek: Can You Find the Winning Ticket? ICLR 2022 Pruning’s Effect on Generalization Through the Lens of Training and Regularization NeurIPS 2022 Rare Gems: Finding Lottery Tickets at Initialization NeurIPS 2022 Recent Advances on Neural Network Pruning at Initialization IJCAI 2022 SparCL: Sparse Continual Learning on the Edge NeurIPS 2022 Sparsity Winning Twice: Better Robust Generalization from More Efficient Training ICLR 2022 Spartan: Differentiable Sparsity via Regularized Transportation NeurIPS 2022 The State of Sparse Training in Deep Reinforcement Learning ICML 2022 The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training ICLR 2022 Towards Fully Sparse Training: Information Restoration with Spatial Similarity AAAI 2022 Training Your Sparse Neural Network Better with Any Mask ICML 2022 Where to Pay Attention in Sparse Training for Feature Selection? NeurIPS 2022