conftrace_

neural network sparsity

12 papers

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Co-occurring keywords

model compression (3302) sparse network (41) neural network (6616) sparsity allocation (3) sparse training (77) bayesian inference (1907) variational dropout (9) block sparsity (10) learnable sparsity (1) soft threshold operator (1)

Papers

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 NIPS 2024
Emergence of Sparse Representations from Noise ICML 2023
SparseVSR: Lightweight and Noise Robust Visual Speech Recognition INTERSPEECH 2023
Learning Bayesian Sparse Networks With Full Experience Replay for Continual Learning CVPR 2022
Spartan: Differentiable Sparsity via Regularized Transportation NIPS 2022
MoEfication: Transformer Feed-forward Layers are Mixtures of Experts ACL 2022
AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks NIPS 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