Summary of Synthetic Information Towards Maximum Posterior Ratio For Deep Learning on Imbalanced Data, by Hung Nguyen and Morris Chang
Synthetic Information towards Maximum Posterior Ratio for deep learning on Imbalanced Databy Hung Nguyen, Morris…
Summary of Lightweight Fish Classification Model For Sustainable Marine Management: Indonesian Case, by Febrian Kurniawan et al.
Lightweight Fish Classification Model for Sustainable Marine Management: Indonesian Caseby Febrian Kurniawan, Gandeva Bayu Satrya,…
Summary of Real-time 2d Temperature Field Prediction in Metal Additive Manufacturing Using Physics-informed Neural Networks, by Pouyan Sajadi et al.
Real-Time 2D Temperature Field Prediction in Metal Additive Manufacturing Using Physics-Informed Neural Networksby Pouyan Sajadi,…
Summary of Gps-ssl: Guided Positive Sampling to Inject Prior Into Self-supervised Learning, by Aarash Feizi et al.
GPS-SSL: Guided Positive Sampling to Inject Prior Into Self-Supervised Learningby Aarash Feizi, Randall Balestriero, Adriana…
Summary of Two-stage Surrogate Modeling For Data-driven Design Optimization with Application to Composite Microstructure Generation, by Farhad Pourkamali-anaraki et al.
Two-Stage Surrogate Modeling for Data-Driven Design Optimization with Application to Composite Microstructure Generationby Farhad Pourkamali-Anaraki,…
Summary of Fast & Fair: Efficient Second-order Robust Optimization For Fairness in Machine Learning, by Allen Minch et al.
Fast & Fair: Efficient Second-Order Robust Optimization for Fairness in Machine Learningby Allen Minch, Hung…
Summary of Trajectory-oriented Policy Optimization with Sparse Rewards, by Guojian Wang et al.
Trajectory-Oriented Policy Optimization with Sparse Rewardsby Guojian Wang, Faguo Wu, Xiao ZhangFirst submitted to arxiv…
Summary of Fairgridsearch: a Framework to Compare Fairness-enhancing Models, by Shih-chi Ma et al.
FairGridSearch: A Framework to Compare Fairness-Enhancing Modelsby Shih-Chi Ma, Tatiana Ermakova, Benjamin FabianFirst submitted to…
Summary of Investigating the Suitability Of Concept Drift Detection For Detecting Leakages in Water Distribution Networks, by Valerie Vaquet et al.
Investigating the Suitability of Concept Drift Detection for Detecting Leakages in Water Distribution Networksby Valerie…
Summary of Applications Of Machine Learning and Iot For Outdoor Air Pollution Monitoring and Prediction: a Systematic Literature Review, by Ihsane Gryech et al.
Applications of machine learning and IoT for Outdoor Air Pollution Monitoring and Prediction: A Systematic…