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model pruning

237 papers

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Co-occurring keywords

model compression (3302) knowledge distillation (3725) neural network pruning (265) large language model (13587) lottery ticket hypothesis (104) neural network optimization (1293) transfer learning (5449) network pruning (183) neural network (6616) model quantization (281)

Papers

Resilient and Communication Efficient Learning for Heterogeneous Federated Systems ICML 2022
Exploration and Estimation for Model Compression ICCV 2021
Parameter-Efficient Transfer Learning with Diff Pruning IJCNLP 2021
On Attention Redundancy: A Comprehensive Study NAACL 2021
Pruning-then-Expanding Model for Domain Adaptation of Neural Machine Translation NAACL 2021
Block Pruning For Faster Transformers EMNLP 2021
The Low-Resource Double Bind: An Empirical Study of Pruning for Low-Resource Machine Translation EMNLP 2021
Layer-wise Model Pruning based on Mutual Information EMNLP 2021
Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression EMNLP 2021
Joint-DetNAS: Upgrade Your Detector With NAS, Pruning and Dynamic Distillation CVPR 2021
The Lottery Ticket Hypothesis for Object Recognition CVPR 2021
The Lottery Tickets Hypothesis for Supervised and Self-Supervised Pre-Training in Computer Vision Models CVPR 2021
A Winning Hand: Compressing Deep Networks Can Improve Out-of-Distribution Robustness NIPS 2021
Only Train Once: A One-Shot Neural Network Training And Pruning Framework NIPS 2021
Sparse Flows: Pruning Continuous-depth Models NIPS 2021
CHIP: CHannel Independence-based Pruning for Compact Neural Networks NIPS 2021
CDFI: Compression-Driven Network Design for Frame Interpolation CVPR 2021
Powerpropagation: A sparsity inducing weight reparameterisation NIPS 2021
Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks IJCNLP 2021
Achieving On-Mobile Real-Time Super-Resolution With Neural Architecture and Pruning Search ICCV 2021
A Unified Speaker Adaptation Approach for ASR EMNLP 2021
Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks AAAI 2021
PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition NIPS 2021
Against Membership Inference Attack: Pruning is All You Need IJCAI 2021
Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers EMNLP 2021