network sparsification

Constrained Implicit Learning Framework for Neural Network Sparsification ACML 2024 Fast as CHITA: Neural Network Pruning with Combinatorial Optimization ICML 2023 "Lossless" Compression of Deep Neural Networks: A High-dimensional Neural Tangent Kernel Approach NeurIPS 2022 Dense for the Price of Sparse: Improved Performance of Sparsely Initialized Networks via a Subspace Offset ICML 2021 Effective Sparsification of Neural Networks With Global Sparsity Constraint CVPR 2021 Growing Efficient Deep Networks by Structured Continuous Sparsification ICLR 2021 Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks JMLR 2021 The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization NeurIPS 2021 Greedy Optimization Provably Wins the Lottery: Logarithmic Number of Winning Tickets is Enough NeurIPS 2020 Learning Sparse Neural Networks for Better Generalization IJCAI 2020 Successfully Applying the Stabilized Lottery Ticket Hypothesis to the Transformer Architecture ACL 2020 Trimming the ℓ_1 Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning ICML 2019 Learning both Weights and Connections for Efficient Neural Network NeurIPS 2015