Summary of Data-driven Discovery with Large Generative Models, by Bodhisattwa Prasad Majumder et al.
Data-driven Discovery with Large Generative Modelsby Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, Sanchaita Hazra,…
Summary of Improving Building Temperature Forecasting: a Data-driven Approach with System Scenario Clustering, by Dafang Zhao et al.
Improving Building Temperature Forecasting: A Data-driven Approach with System Scenario Clusteringby Dafang Zhao, Zheng Chen,…
Summary of Flexhb: a More Efficient and Flexible Framework For Hyperparameter Optimization, by Yang Zhang et al.
FlexHB: a More Efficient and Flexible Framework for Hyperparameter Optimizationby Yang Zhang, Haiyang Wu, Yuekui…
Summary of The Metric-framework For Assessing Data Quality For Trustworthy Ai in Medicine: a Systematic Review, by Daniel Schwabe et al.
The METRIC-framework for assessing data quality for trustworthy AI in medicine: a systematic reviewby Daniel…
Summary of On the Conflict Of Robustness and Learning in Collaborative Machine Learning, by Mathilde Raynal and Carmela Troncoso
On the Conflict of Robustness and Learning in Collaborative Machine Learningby Mathilde Raynal, Carmela TroncosoFirst…
Summary of Automation Of Quantum Dot Measurement Analysis Via Explainable Machine Learning, by Daniel Schug et al.
Automation of Quantum Dot Measurement Analysis via Explainable Machine Learningby Daniel Schug, Tyler J. Kovach,…
Summary of Theoretical Analysis Of Submodular Information Measures For Targeted Data Subset Selection, by Nathan Beck et al.
Theoretical Analysis of Submodular Information Measures for Targeted Data Subset Selectionby Nathan Beck, Truong Pham,…
Summary of Stealthy Adversarial Attacks on Stochastic Multi-armed Bandits, by Zhiwei Wang et al.
Stealthy Adversarial Attacks on Stochastic Multi-Armed Banditsby Zhiwei Wang, Huazheng Wang, Hongning WangFirst submitted to…
Summary of Simpro: a Simple Probabilistic Framework Towards Realistic Long-tailed Semi-supervised Learning, by Chaoqun Du et al.
SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learningby Chaoqun Du, Yizeng Han, Gao…
Summary of Private Gradient Descent For Linear Regression: Tighter Error Bounds and Instance-specific Uncertainty Estimation, by Gavin Brown et al.
Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimationby Gavin Brown,…