model pruning

Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability ICML 2023 X-Pruner: eXplainable Pruning for Vision Transformers CVPR 2023 Advancing Model Pruning via Bi-level Optimization NeurIPS 2022 A Fast Post-Training Pruning Framework for Transformers NeurIPS 2022 An Information-Theoretic Justification for Model Pruning AISTATS 2022 A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models NeurIPS 2022 Block-Skim: Efficient Question Answering for Transformer AAAI 2022 BMCook: A Task-agnostic Compression Toolkit for Big Models EMNLP 2022 Debiasing Masks: A New Framework for Shortcut Mitigation in NLU EMNLP 2022 Differentially Private Model Compression NeurIPS 2022 Dreaming To Prune Image Deraining Networks CVPR 2022 Edinburgh’s Submission to the WMT 2022 Efficiency Task EMNLP 2022 EPIC TTS Models: Empirical Pruning Investigations Characterizing Text-To-Speech Models Interspeech 2022 FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server IJCAI 2022 From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression AAAI 2022 How Well Do Sparse ImageNet Models Transfer? CVPR 2022 Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training NAACL 2022 Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing NeurIPS 2022 PAC-Net: A Model Pruning Approach to Inductive Transfer Learning ICML 2022 PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance ICML 2022 Playing Lottery Tickets with Vision and Language AAAI 2022 Prior Gradient Mask Guided Pruning-Aware Fine-Tuning AAAI 2022 Prune and Tune Ensembles: Low-Cost Ensemble Learning with Sparse Independent Subnetworks AAAI 2022 Pruning Adatperfusion with Lottery Ticket Hypothesis NAACL 2022 Resilient and Communication Efficient Learning for Heterogeneous Federated Systems ICML 2022