Summary of Epsd: Early Pruning with Self-distillation For Efficient Model Compression, by Dong Chen et al.
EPSD: Early Pruning with Self-Distillation for Efficient Model Compressionby Dong Chen, Ning Liu, Yichen Zhu,…
Summary of Swapnet: Efficient Swapping For Dnn Inference on Edge Ai Devices Beyond the Memory Budget, by Kun Wang et al.
SwapNet: Efficient Swapping for DNN Inference on Edge AI Devices Beyond the Memory Budgetby Kun…
Summary of Compactifai: Extreme Compression Of Large Language Models Using Quantum-inspired Tensor Networks, by Andrei Tomut et al.
CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networksby Andrei Tomut, Saeed S.…
Summary of Symbolnet: Neural Symbolic Regression with Adaptive Dynamic Pruning For Compression, by Ho Fung Tsoi et al.
SymbolNet: Neural Symbolic Regression with Adaptive Dynamic Pruning for Compressionby Ho Fung Tsoi, Vladimir Loncar,…
Summary of Knowledge Translation: a New Pathway For Model Compression, by Wujie Sun et al.
Knowledge Translation: A New Pathway for Model Compressionby Wujie Sun, Defang Chen, Jiawei Chen, Yan…
Summary of Explainability-driven Leaf Disease Classification Using Adversarial Training and Knowledge Distillation, by Sebastian-vasile Echim et al.
Explainability-Driven Leaf Disease Classification Using Adversarial Training and Knowledge Distillationby Sebastian-Vasile Echim, Iulian-Marius Tăiatu, Dumitru-Clementin…
Summary of Flatenn: Train Flat For Enhanced Fault Tolerance Of Quantized Deep Neural Networks, by Akul Malhotra and Sumeet Kumar Gupta
FlatENN: Train Flat for Enhanced Fault Tolerance of Quantized Deep Neural Networksby Akul Malhotra, Sumeet…