structured pruning

Partial Binarization of Neural Networks for Budget-Aware Efficient Learning WACV 2024 Pruning before Fine-tuning: A Retraining-free Compression Framework for Pre-trained Language Models COLING 2024 Pruning Large Language Models to Intra-module Low-rank Architecture with Transitional Activations ACL 2024 SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization NeurIPS 2024 Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning ICLR 2024 SlimGPT: Layer-wise Structured Pruning for Large Language Models NeurIPS 2024 Streamlining Speech Enhancement DNNs: an Automated Pruning Method Based on Dependency Graph with Advanced Regularized Loss Strategies Interspeech 2024 Structured Optimal Brain Pruning for Large Language Models EMNLP 2024 Structured Pruning for Large Language Models Using Coupled Components Elimination and Minor Fine-tuning NAACL 2024 Synergistic Patch Pruning for Vision Transformer: Unifying Intra- & Inter-Layer Patch Importance ICLR 2024 Torque Based Structured Pruning for Deep Neural Network WACV 2024 Towards Better Structured Pruning Saliency by Reorganizing Convolution WACV 2024 Towards efficient deep spiking neural networks construction with spiking activity based pruning ICML 2024 Accurate and Structured Pruning for Efficient Automatic Speech Recognition Interspeech 2023 Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions AISTATS 2023 Balanced Column-Wise Block Pruning for Maximizing GPU Parallelism AAAI 2023 Boost Vision Transformer With GPU-Friendly Sparsity and Quantization CVPR 2023 CSTAR: Towards Compact and Structured Deep Neural Networks with Adversarial Robustness AAAI 2023 DFPC: Data flow driven pruning of coupled channels without data. ICLR 2023 DPHuBERT: Joint Distillation and Pruning of Self-Supervised Speech Models Interspeech 2023 GOHSP: A Unified Framework of Graph and Optimization-Based Heterogeneous Structured Pruning for Vision Transformer AAAI 2023 Gradient-based Intra-attention Pruning on Pre-trained Language Models ACL 2023 Gradient-Free Structured Pruning with Unlabeled Data ICML 2023 NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models EMNLP 2023 One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel Pruning NeurIPS 2023