dynamic sparse training

Advancing Weight and Channel Sparsification with Enhanced Saliency WACV 2025 Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness ICLR 2025 Advancing Dynamic Sparse Training by Exploring Optimization Opportunities ICML 2024 Dynamic Sparse Training with Structured Sparsity ICLR 2024 Navigating Extremes: Dynamic Sparsity in Large Output Spaces NeurIPS 2024 NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization ICLR 2024 Sparse-IFT: Sparse Iso-FLOP Transformations for Maximizing Training Efficiency ICML 2024 UniPTS: A Unified Framework for Proficient Post-Training Sparsity CVPR 2024 Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training NeurIPS 2024 Balanced Training for Sparse GANs NeurIPS 2023 Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training NeurIPS 2023 Dynamic Sparse Network for Time Series Classification: Learning What to “See” NeurIPS 2022 Dynamic Sparse Training for Deep Reinforcement Learning IJCAI 2022 Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better AAAI 2022 Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win AAAI 2022 Superposing many tickets into one: A performance booster for sparse neural network training UAI 2022 Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training ICML 2021 Selfish Sparse RNN Training ICML 2021