Summary of Ultra-imbalanced Classification Guided by Statistical Information, By Yin Jin et al.
Ultra-imbalanced classification guided by statistical informationby Yin Jin, Ningtao Wang, Ruofan Wu, Pengfei Shi, Xing…
Summary of Improving Uncertainty-error Correspondence in Deep Bayesian Medical Image Segmentation, by Prerak Mody et al.
Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image Segmentationby Prerak Mody, Nicolas F. Chaves-de-Plaza, Chinmay…
Summary of Gradinn: Gradient Informed Neural Network, by Filippo Aglietti et al.
GradINN: Gradient Informed Neural Networkby Filippo Aglietti, Francesco Della Santa, Andrea Piano, Virginia AgliettiFirst submitted…
Summary of Synthesizing Late-stage Contrast Enhancement in Breast Mri: a Comprehensive Pipeline Leveraging Temporal Contrast Enhancement Dynamics, by Ruben D. Fonnegra et al.
Synthesizing Late-Stage Contrast Enhancement in Breast MRI: A Comprehensive Pipeline Leveraging Temporal Contrast Enhancement Dynamicsby…
Summary of Fairness-aware Estimation Of Graphical Models, by Zhuoping Zhou et al.
Fairness-Aware Estimation of Graphical Modelsby Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Qi Long, Li…
Summary of Llava-chef: a Multi-modal Generative Model For Food Recipes, by Fnu Mohbat and Mohammed J. Zaki
LLaVA-Chef: A Multi-modal Generative Model for Food Recipesby Fnu Mohbat, Mohammed J. ZakiFirst submitted to…
Summary of Gl-tsvm: a Robust and Smooth Twin Support Vector Machine with Guardian Loss Function, by Mushir Akhtar et al.
GL-TSVM: A robust and smooth twin support vector machine with guardian loss functionby Mushir Akhtar,…
Summary of Remove Symmetries to Control Model Expressivity and Improve Optimization, by Liu Ziyin et al.
Remove Symmetries to Control Model Expressivity and Improve Optimizationby Liu Ziyin, Yizhou Xu, Isaac ChuangFirst…
Summary of Learning Granularity Representation For Temporal Knowledge Graph Completion, by Jinchuan Zhang et al.
Learning Granularity Representation for Temporal Knowledge Graph Completionby Jinchuan Zhang, Tianqi Wan, Chong Mu, Guangxi…
Summary of Fedglu: a Personalized Federated Learning-based Glucose Forecasting Algorithm For Improved Performance in Glycemic Excursion Regions, by Darpit Dave et al.
FedGlu: A personalized federated learning-based glucose forecasting algorithm for improved performance in glycemic excursion regionsby…