neural network pruning

Sharpness-Aware Minimization Leads to Low-Rank Features NeurIPS 2023 Sparse Training with Lipschitz Continuous Loss Functions and a Weighted Group L0-norm Constraint JMLR 2023 STEP: Learning N:M Structured Sparsity Masks from Scratch with Precondition ICML 2023 SUBP: Soft Uniform Block Pruning for 1×N Sparse CNNs Multithreading Acceleration NeurIPS 2023 Trainability Preserving Neural Pruning ICLR 2023 Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask? ICLR 2023 UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers ICML 2023 Why Random Pruning Is All We Need to Start Sparse ICML 2023 X-Pruner: eXplainable Pruning for Vision Transformers CVPR 2023 Aligned Weight Regularizers for Pruning Pretrained Neural Networks ACL 2022 Analyzing Lottery Ticket Hypothesis from PAC-Bayesian Theory Perspective NeurIPS 2022 A Study on the Ramanujan Graph Property of Winning Lottery Tickets ICML 2022 Attentive Fine-Grained Structured Sparsity for Image Restoration CVPR 2022 A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models NeurIPS 2022 Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation NeurIPS 2022 Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets ICML 2022 Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love Constraints NeurIPS 2022 Convolutional and Residual Networks Provably Contain Lottery Tickets ICML 2022 Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods MLHC 2022 DiSparse: Disentangled Sparsification for Multitask Model Compression CVPR 2022 Diverse Lottery Tickets Boost Ensemble from a Single Pretrained Model ACL 2022 Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-Learning CVPR 2022 Dynamic Sparse Training for Deep Reinforcement Learning IJCAI 2022 Effective Model Sparsification by Scheduled Grow-and-Prune Methods ICLR 2022 EPIC TTS Models: Empirical Pruning Investigations Characterizing Text-To-Speech Models Interspeech 2022