Summary of Smoothed Analysis For Learning Concepts with Low Intrinsic Dimension, by Gautam Chandrasekaran et al.
Smoothed Analysis for Learning Concepts with Low Intrinsic Dimensionby Gautam Chandrasekaran, Adam Klivans, Vasilis Kontonis,…
Smoothed Analysis for Learning Concepts with Low Intrinsic Dimensionby Gautam Chandrasekaran, Adam Klivans, Vasilis Kontonis,…
How Does Overparameterization Affect Features?by Ahmet Cagri Duzgun, Samy Jelassi, Yuanzhi LiFirst submitted to arxiv…
Hybrid RAG-empowered Multi-modal LLM for Secure Data Management in Internet of Medical Things: A Diffusion-based…
Can Small Language Models Learn, Unlearn, and Retain Noise Patterns?by Nicy Scaria, Silvester John Joseph…
CURLS: Causal Rule Learning for Subgroups with Significant Treatment Effectby Jiehui Zhou, Linxiao Yang, Xingyu…
Flood Prediction Using Classical and Quantum Machine Learning Modelsby Marek Grzesiak, Param ThakkarFirst submitted to…
MARLP: Time-series Forecasting Control for Agricultural Managed Aquifer Rechargeby Yuning Chen, Kang Yang, Zhiyu An,…
Swish-T : Enhancing Swish Activation with Tanh Bias for Improved Neural Network Performanceby Youngmin Seo,…
Bayesian Entropy Neural Networks for Physics-Aware Predictionby Rahul Rathnakumar, Jiayu Huang, Hao Yan, Yongming LiuFirst…
PocketLLM: Enabling On-Device Fine-Tuning for Personalized LLMsby Dan Peng, Zhihui Fu, Jun WangFirst submitted to…