Summary of Is All Learning (natural) Gradient Descent?, by Lucas Shoji et al.
Is All Learning (Natural) Gradient Descent?by Lucas Shoji, Kenta Suzuki, Leo KozachkovFirst submitted to arxiv…
Is All Learning (Natural) Gradient Descent?by Lucas Shoji, Kenta Suzuki, Leo KozachkovFirst submitted to arxiv…
Statistical tuning of artificial neural networkby Mohamad Yamen AL Mohamad, Hossein Bevrani, Ali Akbar HaydariFirst…
Leveraging Local Structure for Improving Model Explanations: An Information Propagation Approachby Ruo Yang, Binghui Wang,…
Lessons Learned from a Unifying Empirical Study of Parameter-Efficient Transfer Learning (PETL) in Visual Recognitionby…
Generative AI-driven forecasting of oil productionby Yash Gandhi, Kexin Zheng, Birendra Jha, Ken-ichi Nomura, Aiichiro…
Communication and Energy Efficient Federated Learning using Zero-Order Optimization Techniqueby Elissa Mhanna, Mohamad AssaadFirst submitted…
Exploring Knowledge Tracing in Tutor-Student Dialogues using LLMsby Alexander Scarlatos, Ryan S. Baker, Andrew LanFirst…
GSplatLoc: Grounding Keypoint Descriptors into 3D Gaussian Splatting for Improved Visual Localizationby Gennady Sidorov, Malik…
Learning Linear Dynamics from Bilinear Observationsby Yahya Sattar, Yassir Jedra, Sarah DeanFirst submitted to arxiv…
Flight: A FaaS-Based Framework for Complex and Hierarchical Federated Learningby Nathaniel Hudson, Valerie Hayot-Sasson, Yadu…