weight pruning

Model Sparsity Can Simplify Machine Unlearning NeurIPS 2023 Pruning Pre-trained Language Models Without Fine-Tuning ACL 2023 Pushing the Efficiency Limit Using Structured Sparse Convolutions WACV 2023 SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network Inference ICML 2023 STEP: Learning N:M Structured Sparsity Masks from Scratch with Precondition ICML 2023 Training Debiased Subnetworks With Contrastive Weight Pruning CVPR 2023 Encoding Weights of Irregular Sparsity for Fixed-to-Fixed Model Compression ICLR 2022 On Measuring Excess Capacity in Neural Networks NeurIPS 2022 Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning NeurIPS 2022 Parameter-Efficient Masking Networks NeurIPS 2022 Signing the Supermask: Keep, Hide, Invert ICLR 2022 SPDY: Accurate Pruning with Speedup Guarantees ICML 2022 The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks ICML 2022 Universality of Winning Tickets: A Renormalization Group Perspective ICML 2022 Against Membership Inference Attack: Pruning is All You Need IJCAI 2021 Disentangling Representations of Text by Masking Transformers EMNLP 2021 Effective Sparsification of Neural Networks With Global Sparsity Constraint CVPR 2021 Enabling Retrain-free Deep Neural Network Pruning Using Surrogate Lagrangian Relaxation IJCAI 2021 Evolving Search Space for Neural Architecture Search ICCV 2021 Pruning Neural Networks at Initialization: Why Are We Missing the Mark? ICLR 2021 ROSITA: Refined BERT cOmpreSsion with InTegrAted techniques AAAI 2021 RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices AAAI 2021 Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices IJCAI 2021 Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning ACL 2020 DropNet: Reducing Neural Network Complexity via Iterative Pruning ICML 2020