Summary of Calibration Attacks: a Comprehensive Study Of Adversarial Attacks on Model Confidence, by Stephen Obadinma et al.
Calibration Attacks: A Comprehensive Study of Adversarial Attacks on Model Confidenceby Stephen Obadinma, Xiaodan Zhu,…
Summary of Fedns: a Fast Sketching Newton-type Algorithm For Federated Learning, by Jian Li et al.
FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learningby Jian Li, Yong Liu, Wei Wang,…
Summary of Mapping Of Land Use and Land Cover (lulc) Using Eurosat and Transfer Learning, by Suman Kunwar et al.
Mapping of Land Use and Land Cover (LULC) using EuroSAT and Transfer Learningby Suman Kunwar,…
Summary of A Comprehensive Survey Of Research Towards Ai-enabled Unmanned Aerial Systems in Pre-, Active-, and Post-wildfire Management, by Sayed Pedram Haeri Boroujeni et al.
A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire…
Summary of Interpretable Time Series Models For Wastewater Modeling in Combined Sewer Overflows, by Teodor Chiaburu et al.
Interpretable Time Series Models for Wastewater Modeling in Combined Sewer Overflowsby Teodor Chiaburu, Felix BiessmannFirst…
Summary of Structured Matrix Learning Under Arbitrary Entrywise Dependence and Estimation Of Markov Transition Kernel, by Jinhang Chai et al.
Structured Matrix Learning under Arbitrary Entrywise Dependence and Estimation of Markov Transition Kernelby Jinhang Chai,…
Summary of Novel End-to-end Production-ready Machine Learning Flow For Nanolithography Modeling and Correction, by Mohamed S. E. Habib et al.
Novel End-to-End Production-Ready Machine Learning Flow for Nanolithography Modeling and Correctionby Mohamed S. E. Habib,…
Summary of Contrast: Continual Multi-source Adaptation to Dynamic Distributions, by Sk Miraj Ahmed et al.
CONTRAST: Continual Multi-source Adaptation to Dynamic Distributionsby Sk Miraj Ahmed, Fahim Faisal Niloy, Xiangyu Chang,…
Summary of Hyperparameter Estimation For Sparse Bayesian Learning Models, by Feng Yu and Lixin Shen and Guohui Song
Hyperparameter Estimation for Sparse Bayesian Learning Modelsby Feng Yu, Lixin Shen, Guohui SongFirst submitted to…
Summary of Long-term Fairness For Real-time Decision Making: a Constrained Online Optimization Approach, by Ruijie Du et al.
Long-term Fairness For Real-time Decision Making: A Constrained Online Optimization Approachby Ruijie Du, Deepan Muthirayan,…