Summary of Selecting Large Language Model to Fine-tune Via Rectified Scaling Law, by Haowei Lin et al.
Selecting Large Language Model to Fine-tune via Rectified Scaling Lawby Haowei Lin, Baizhou Huang, Haotian…
Summary of Future Directions in the Theory Of Graph Machine Learning, by Christopher Morris et al.
Future Directions in the Theory of Graph Machine Learningby Christopher Morris, Fabrizio Frasca, Nadav Dym,…
Summary of Your Diffusion Model Is Secretly a Certifiably Robust Classifier, by Huanran Chen et al.
Your Diffusion Model is Secretly a Certifiably Robust Classifierby Huanran Chen, Yinpeng Dong, Shitong Shao,…
Summary of Composite Active Learning: Towards Multi-domain Active Learning with Theoretical Guarantees, by Guang-yuan Hao et al.
Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guaranteesby Guang-Yuan Hao, Hengguan Huang, Haotian…
Summary of Accelerating Look-ahead in Bayesian Optimization: Multilevel Monte Carlo Is All You Need, by Shangda Yang et al.
Accelerating Look-ahead in Bayesian Optimization: Multilevel Monte Carlo is All you Needby Shangda Yang, Vitaly…
Summary of Handling Delayed Feedback in Distributed Online Optimization : a Projection-free Approach, by Tuan-anh Nguyen et al.
Handling Delayed Feedback in Distributed Online Optimization : A Projection-Free Approachby Tuan-Anh Nguyen, Nguyen Kim…
Summary of Enhancing Crop Classification Accuracy by Synthetic Sar-optical Data Generation Using Deep Learning, By Ali Mirzaei et al.
Enhancing crop classification accuracy by synthetic SAR-Optical data generation using deep learningby Ali Mirzaei, Hossein…
Summary of Using Deep Ensemble Forest For High Resolution Mapping Of Pm2.5 From Modis Maiac Aod in Tehran, Iran, by Hossein Bagheri
Using Deep Ensemble Forest for High Resolution Mapping of PM2.5 from MODIS MAIAC AOD in…
Summary of Emergency Computing: An Adaptive Collaborative Inference Method Based on Hierarchical Reinforcement Learning, by Weiqi Fu et al.
Emergency Computing: An Adaptive Collaborative Inference Method Based on Hierarchical Reinforcement Learningby Weiqi Fu, Lianming…
Summary of Improving Diffusion Models For Inverse Problems Using Optimal Posterior Covariance, by Xinyu Peng et al.
Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covarianceby Xinyu Peng, Ziyang Zheng, Wenrui…