Skip to content
conftrace_

network pruning

226 papers

Papers

Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking ACL 2021 Convolutional Neural Network Pruning With Structural Redundancy Reduction CVPR 2021 EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets ACL 2021 Efficient Lottery Ticket Finding: Less Data is More ICML 2021 Enabling Retrain-free Deep Neural Network Pruning Using Surrogate Lagrangian Relaxation IJCAI 2021 Exploring Sparsity in Image Super-Resolution for Efficient Inference CVPR 2021 Finding Sparse Structures for Domain Specific Neural Machine Translation AAAI 2021 Frivolous Units: Wider Networks Are Not Really That Wide AAAI 2021 GANs Can Play Lottery Tickets Too ICLR 2021 Linearly Replaceable Filters for Deep Network Channel Pruning AAAI 2021 Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning ICLR 2021 Low-Complexity Probing via Finding Subnetworks NAACL 2021 Manifold Regularized Dynamic Network Pruning CVPR 2021 M-FAC: Efficient Matrix-Free Approximations of Second-Order Information NeurIPS 2021 Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network ICLR 2021 NetAdaptV2: Efficient Neural Architecture Search With Fast Super-Network Training and Architecture Optimization CVPR 2021 Network Pruning That Matters: A Case Study on Retraining Variants ICLR 2021 Network Pruning via Performance Maximization CVPR 2021 Neural Architecture Search With Random Labels CVPR 2021 Neural Response Interpretation Through the Lens of Critical Pathways CVPR 2021 NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration CVPR 2021 On the Predictability of Pruning Across Scales ICML 2021 Progressive Skeletonization: Trimming more fat from a network at initialization ICLR 2021 Pruning Randomly Initialized Neural Networks with Iterative Randomization NeurIPS 2021 Rethinking Network Pruning – under the Pre-train and Fine-tune Paradigm NAACL 2021