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network pruning

226 papers

Papers

Towards a Smaller Student: Capacity Dynamic Distillation for Efficient Image Retrieval CVPR 2023 Towards Fairness-aware Adversarial Network Pruning ICCV 2023 Towards Higher Ranks via Adversarial Weight Pruning NeurIPS 2023 A Bregman Learning Framework for Sparse Neural Networks JMLR 2022 An Operator Theoretic View On Pruning Deep Neural Networks ICLR 2022 Are All Linear Regions Created Equal? AISTATS 2022 A Study on the Ramanujan Graph Property of Winning Lottery Tickets ICML 2022 Co-Modality Graph Contrastive Learning for Imbalanced Node Classification NeurIPS 2022 Compressing Models With Few Samples: Mimicking Then Replacing CVPR 2022 Diverse Lottery Tickets Boost Ensemble from a Single Pretrained Model ACL 2022 Domain Specific Sub-network for Multi-Domain Neural Machine Translation AACL 2022 Dual Lottery Ticket Hypothesis ICLR 2022 Early-Bird GCNs: Graph-Network Co-optimization towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets AAAI 2022 Finding Skill Neurons in Pre-trained Transformer-based Language Models EMNLP 2022 Finding the Dominant Winning Ticket in Pre-Trained Language Models ACL 2022 From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression AAAI 2022 Learning Best Combination for Efficient N:M Sparsity NeurIPS 2022 Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning ICLR 2022 Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, And No Retraining ICLR 2022 Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations NeurIPS 2022 Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network CVPR 2022 On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning ICLR 2022 Peek-a-Boo: What (More) is Disguised in a Randomly Weighted Neural Network, and How to Find It Efficiently ICLR 2022 Playing Lottery Tickets with Vision and Language AAAI 2022 Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients ICLR 2022