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neural network pruning

265 papers

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Also known as

NNP

Co-occurring keywords

model compression (3283) lottery ticket hypothesis (103) model pruning (233) network pruning (183) sparse training (77) neural network optimization (1293) neural network (6616) knowledge distillation (3680) weight pruning (57) large language model (12755)

Papers

Model Compression by Iterative Pruning with Knowledge Distillation and Its Application to Speech Enhancement INTERSPEECH 2022
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods MLHC 2022
Finding the Dominant Winning Ticket in Pre-Trained Language Models ACL 2022
Interspace Pruning: Using Adaptive Filter Representations To Improve Training of Sparse CNNs CVPR 2022
Universality of Winning Tickets: A Renormalization Group Perspective ICML 2022
The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models EMNLP 2022
Non-Uniform Adversarially Robust Pruning AUTOML 2022
Pruning’s Effect on Generalization Through the Lens of Training and Regularization NIPS 2022
Prune and Tune Ensembles: Low-Cost Ensemble Learning with Sparse Independent Subnetworks AAAI 2022
Gradient and Mangitude Based Pruning for Sparse Deep Neural Networks AAAI 2022
Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-Learning CVPR 2022
Scaling Up Exact Neural Network Compression by ReLU Stability NIPS 2021
YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design AAAI 2021
RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices AAAI 2021
A Compression-Compilation Co-Design Framework Towards Real-Time Object Detection on Mobile Devices AAAI 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks JMLR 2021
Statistical mechanical analysis of neural network pruning UAI 2021
Powerpropagation: A sparsity inducing weight reparameterisation NIPS 2021
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks NIPS 2021
The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization NIPS 2021
A Probabilistic Approach to Neural Network Pruning ICML 2021
Neural Response Interpretation Through the Lens of Critical Pathways CVPR 2021
Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training ICML 2021
Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework ICML 2021
Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not? ICML 2021