Summary of Data Readiness For Ai: a 360-degree Survey, by Kaveen Hiniduma et al.
Data Readiness for AI: A 360-Degree Surveyby Kaveen Hiniduma, Suren Byna, Jean Luca BezFirst submitted…
Summary of Self-labeling in Multivariate Causality and Quantification For Adaptive Machine Learning, by Yutian Ren et al.
Self-Labeling in Multivariate Causality and Quantification for Adaptive Machine Learningby Yutian Ren, Aaron Haohua Yen,…
Summary of Label Propagation Training Schemes For Physics-informed Neural Networks and Gaussian Processes, by Ming Zhong et al.
Label Propagation Training Schemes for Physics-Informed Neural Networks and Gaussian Processesby Ming Zhong, Dehao Liu,…
Summary of Brusleattack: a Query-efficient Score-based Black-box Sparse Adversarial Attack, by Viet Quoc Vo et al.
BruSLeAttack: A Query-Efficient Score-Based Black-Box Sparse Adversarial Attackby Viet Quoc Vo, Ehsan Abbasnejad, Damith C.…
Summary of Stochastic Online Optimization For Cyber-physical and Robotic Systems, by Hao Ma et al.
Stochastic Online Optimization for Cyber-Physical and Robotic Systemsby Hao Ma, Melanie Zeilinger, Michael MuehlebachFirst submitted…
Summary of Hoeg: a New Approach For Object-centric Predictive Process Monitoring, by Tim K. Smit et al.
HOEG: A New Approach for Object-Centric Predictive Process Monitoringby Tim K. Smit, Hajo A. Reijers,…
Summary of Iterative Refinement Strategy For Automated Data Labeling: Facial Landmark Diagnosis in Medical Imaging, by Yu-hsi Chen
Iterative Refinement Strategy for Automated Data Labeling: Facial Landmark Diagnosis in Medical Imagingby Yu-Hsi ChenFirst…
Summary of Certified Peftsmoothing: Parameter-efficient Fine-tuning with Randomized Smoothing, by Chengyan Fu and Wenjie Wang
Certified PEFTSmoothing: Parameter-Efficient Fine-Tuning with Randomized Smoothingby Chengyan Fu, Wenjie WangFirst submitted to arxiv on:…
Summary of What Are the Odds? Improving the Foundations Of Statistical Model Checking, by Tobias Meggendorfer et al.
What Are the Odds? Improving the foundations of Statistical Model Checkingby Tobias Meggendorfer, Maximilian Weininger,…
Summary of Physics Of Language Models: Part 3.3, Knowledge Capacity Scaling Laws, by Zeyuan Allen-zhu and Yuanzhi Li
Physics of Language Models: Part 3.3, Knowledge Capacity Scaling Lawsby Zeyuan Allen-Zhu, Yuanzhi LiFirst submitted…