sparse neural network

Distillation-Guided Structural Transfer for Continual Learning Beyond Sparse Distributed Memory AAAI 2026 More Experts Than Galaxies: Conditionally-Overlapping Experts with Biologically-Inspired Fixed Routing ICLR 2025 OptiPrune: Effective Pruning Approach for Every Target Sparsity COLING 2025 SparseAlign: a Fully Sparse Framework for Cooperative Object Detection CVPR 2025 NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization ICLR 2024 Sparse Cocktail: Every Sparse Pattern Every Sparse Ratio All At Once ICML 2024 Sparse maximal update parameterization: A holistic approach to sparse training dynamics NeurIPS 2024 Supervised Feature Selection via Ensemble Gradient Information from Sparse Neural Networks AISTATS 2024 Balanced Training for Sparse GANs NeurIPS 2023 CSTAR: Towards Compact and Structured Deep Neural Networks with Adversarial Robustness AAAI 2023 Does a sparse ReLU network training problem always admit an optimum ? NeurIPS 2023 Fair Scratch Tickets: Finding Fair Sparse Networks Without Weight Training CVPR 2023 Learning Activation Functions for Sparse Neural Networks AutoML 2023 Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference ICML 2023 Model-Based Control with Sparse Neural Dynamics NeurIPS 2023 Norm-based Generalization Bounds for Sparse Neural Networks NeurIPS 2023 Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together! ICLR 2023 spred: Solving L1 Penalty with SGD ICML 2023 The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter NeurIPS 2023 Why Random Pruning Is All We Need to Start Sparse ICML 2023 A Bregman Learning Framework for Sparse Neural Networks JMLR 2022 Analyzing Lottery Ticket Hypothesis from PAC-Bayesian Theory Perspective NeurIPS 2022 A Theoretical View on Sparsely Activated Networks NeurIPS 2022 A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models NeurIPS 2022 Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity ICLR 2022