Summary of Investigating Sparsity in Recurrent Neural Networks, by Harshil Darji
Investigating Sparsity in Recurrent Neural Networksby Harshil DarjiFirst submitted to arxiv on: 30 Jul 2024CategoriesMain:…
Summary of Realizing Unaligned Block-wise Pruning For Dnn Acceleration on Mobile Devices, by Hayun Lee et al.
Realizing Unaligned Block-wise Pruning for DNN Acceleration on Mobile Devicesby Hayun Lee, Dongkun ShinFirst submitted…
Summary of Sfprompt: Communication-efficient Split Federated Fine-tuning For Large Pre-trained Models Over Resource-limited Devices, by Linxiao Cao et al.
SFPrompt: Communication-Efficient Split Federated Fine-Tuning for Large Pre-Trained Models over Resource-Limited Devicesby Linxiao Cao, Yifei…
Summary of A Deeper Look at Depth Pruning Of Llms, by Shoaib Ahmed Siddiqui et al.
A deeper look at depth pruning of LLMsby Shoaib Ahmed Siddiqui, Xin Dong, Greg Heinrich,…
Summary of Comprehensive Study on Performance Evaluation and Optimization Of Model Compression: Bridging Traditional Deep Learning and Large Language Models, by Aayush Saxena et al.
Comprehensive Study on Performance Evaluation and Optimization of Model Compression: Bridging Traditional Deep Learning and…
Summary of Shapley Pruning For Neural Network Compression, by Kamil Adamczewski et al.
Shapley Pruning for Neural Network Compressionby Kamil Adamczewski, Yawei Li, Luc van GoolFirst submitted to…
Summary of Compact Language Models Via Pruning and Knowledge Distillation, by Saurav Muralidharan et al.
Compact Language Models via Pruning and Knowledge Distillationby Saurav Muralidharan, Sharath Turuvekere Sreenivas, Raviraj Joshi,…
Summary of Lazyllm: Dynamic Token Pruning For Efficient Long Context Llm Inference, by Qichen Fu et al.
LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inferenceby Qichen Fu, Minsik Cho, Thomas…
Summary of Reconstruct the Pruned Model Without Any Retraining, by Pingjie Wang et al.
Reconstruct the Pruned Model without Any Retrainingby Pingjie Wang, Ziqing Fan, Shengchao Hu, Zhe Chen,…
Summary of Hybrid Dynamic Pruning: a Pathway to Efficient Transformer Inference, by Ghadeer Jaradat et al.
Hybrid Dynamic Pruning: A Pathway to Efficient Transformer Inferenceby Ghadeer Jaradat, Mohammed Tolba, Ghada Alsuhli,…