weight sparsity

Dual Activation-Weight Sparsity: A Training-Free Framework for Efficient Large Language Model Compression ACL 2026 Motivating Next-Gen Accelerators with Flexible N:M Activation Sparsity via Benchmarking Lightweight Post-Training Sparsification Approaches ACL 2026 Can Adversarial Examples Be Parsed to Reveal Victim Model Information? WACV 2025 Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks AAAI 2025 Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective AAAI 2025 Wasserstein Distances, Neuronal Entanglement, and Sparsity ICLR 2025 MediSwift: Efficient Sparse Pre-trained Biomedical Language Models ACL 2024 NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization ICLR 2024 Scaling Laws for Sparsely-Connected Foundation Models ICLR 2024 Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization CVPR 2023 SPDF: Sparse Pre-training and Dense Fine-tuning for Large Language Models UAI 2023 Advancing Model Pruning via Bi-level Optimization NeurIPS 2022 Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training NeurIPS 2022 SparCL: Sparse Continual Learning on the Edge NeurIPS 2022 Sparsity in Continuous-Depth Neural Networks NeurIPS 2022 DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures ICLR 2020 Training for Faster Adversarial Robustness Verification via Inducing ReLU Stability ICLR 2019 Sparse Online Learning via Truncated Gradient NeurIPS 2008