Summary of Hkd-sho: a Hybrid Smart Home System Based on Knowledge-based and Data-driven Services, by Mingming Qiu et al.
HKD-SHO: A hybrid smart home system based on knowledge-based and data-driven servicesby Mingming Qiu, Elie…
Summary of Deep Networks Always Grok and Here Is Why, by Ahmed Imtiaz Humayun et al.
Deep Networks Always Grok and Here is Whyby Ahmed Imtiaz Humayun, Randall Balestriero, Richard BaraniukFirst…
Summary of Information-theoretic Safe Bayesian Optimization, by Alessandro G. Bottero et al.
Information-Theoretic Safe Bayesian Optimizationby Alessandro G. Bottero, Carlos E. Luis, Julia Vinogradska, Felix Berkenkamp, Jan…
Summary of Autommlab: Automatically Generating Deployable Models From Language Instructions For Computer Vision Tasks, by Zekang Yang et al.
AutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision Tasksby Zekang Yang, Wang…
Summary of Efficient Semi-supervised Inference For Logistic Regression Under Case-control Studies, by Zhuojun Quan et al.
Efficient semi-supervised inference for logistic regression under case-control studiesby Zhuojun Quan, Yuanyuan Lin, Kani Chen,…
Summary of Lasso with Latents: Efficient Estimation, Covariate Rescaling, and Computational-statistical Gaps, by Jonathan Kelner et al.
Lasso with Latents: Efficient Estimation, Covariate Rescaling, and Computational-Statistical Gapsby Jonathan Kelner, Frederic Koehler, Raghu…
Summary of Counterfactual Generation with Identifiability Guarantees, by Hanqi Yan et al.
Counterfactual Generation with Identifiability Guaranteesby Hanqi Yan, Lingjing Kong, Lin Gui, Yuejie Chi, Eric Xing,…
Summary of Statistical Agnostic Regression: a Machine Learning Method to Validate Regression Models, by Juan M Gorriz et al.
Statistical Agnostic Regression: a machine learning method to validate regression modelsby Juan M Gorriz, J.…
Summary of Remaining-data-free Machine Unlearning by Suppressing Sample Contribution, By Xinwen Cheng and Zhehao Huang and Wenxin Zhou and Zhengbao He and Ruikai Yang and Yingwen Wu and Xiaolin Huang
Remaining-data-free Machine Unlearning by Suppressing Sample Contributionby Xinwen Cheng, Zhehao Huang, Wenxin Zhou, Zhengbao He,…
Summary of Physics-constrained Polynomial Chaos Expansion For Scientific Machine Learning and Uncertainty Quantification, by Himanshu Sharma et al.
Physics-constrained polynomial chaos expansion for scientific machine learning and uncertainty quantificationby Himanshu Sharma, Lukáš Novák,…