neural network sparsity

Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes AAAI 2024 On the Sparsity of the Strong Lottery Ticket Hypothesis NeurIPS 2024 Emergence of Sparse Representations from Noise ICML 2023 Minimum Variance Unbiased N:M Sparsity for the Neural Gradients ICLR 2023 SparseVSR: Lightweight and Noise Robust Visual Speech Recognition Interspeech 2023 Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together! ICLR 2023 Learning Bayesian Sparse Networks With Full Experience Replay for Continual Learning CVPR 2022 MoEfication: Transformer Feed-forward Layers are Mixtures of Experts ACL 2022 Spartan: Differentiable Sparsity via Regularized Transportation NeurIPS 2022 AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks NeurIPS 2021 Fiedler Regularization: Learning Neural Networks with Graph Sparsity ICML 2020 Soft Threshold Weight Reparameterization for Learnable Sparsity ICML 2020 Learning Instance-wise Sparsity for Accelerating Deep Models IJCAI 2019 Variational Dropout Sparsifies Deep Neural Networks ICML 2017