parameter pruning

Holistic Adversarially Robust Pruning ICLR 2023 Memory-Friendly Scalable Super-Resolution via Rewinding Lottery Ticket Hypothesis CVPR 2023 Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection NeurIPS 2023 DiSparse: Disentangled Sparsification for Multitask Model Compression CVPR 2022 Hessian-Aware Pruning and Optimal Neural Implant WACV 2022 Legal-Tech Open Diaries: Lesson learned on how to develop and deploy light-weight models in the era of humongous Language Models EMNLP 2022 LightHuBERT: Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERT Interspeech 2022 Sparse Teachers Can Be Dense with Knowledge EMNLP 2022 Train Flat, Then Compress: Sharpness-Aware Minimization Learns More Compressible Models EMNLP 2022 Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space CVPR 2022 GhostBERT: Generate More Features with Cheap Operations for BERT ACL 2021 Learnable Embedding sizes for Recommender Systems ICLR 2021 Progressive Skeletonization: Trimming more fat from a network at initialization ICLR 2021 Sparsifying Networks via Subdifferential Inclusion ICML 2021 NeuralScale: Efficient Scaling of Neurons for Resource-Constrained Deep Neural Networks CVPR 2020 PENNI: Pruned Kernel Sharing for Efficient CNN Inference ICML 2020 SpecMark: A Spectral Watermarking Framework for IP Protection of Speech Recognition Systems Interspeech 2020 Automatic DNN Node Pruning Using Mixture Distribution-based Group Regularization Interspeech 2018 Frequency-Domain Dynamic Pruning for Convolutional Neural Networks NeurIPS 2018 On Compressing Deep Models by Low Rank and Sparse Decomposition CVPR 2017