Summary of Imbalanced Graph Classification with Multi-scale Oversampling Graph Neural Networks, by Rongrong Ma et al.
Imbalanced Graph Classification with Multi-scale Oversampling Graph Neural Networksby Rongrong Ma, Guansong Pang, Ling ChenFirst…
Imbalanced Graph Classification with Multi-scale Oversampling Graph Neural Networksby Rongrong Ma, Guansong Pang, Ling ChenFirst…
A Significantly Better Class of Activation Functions Than ReLU Like Activation Functionsby Mathew Mithra Noel,…
Switchable Decision: Dynamic Neural Generation Networksby Shujian Zhang, Korawat Tanwisuth, Chengyue Gong, Pengcheng He, Mingyuan…
A Unified Post-Processing Framework for Group Fairness in Classificationby Ruicheng Xian, Han ZhaoFirst submitted to…
WISER: Weak supervISion and supErvised Representation learning to improve drug response prediction in cancerby Kumar…
Nonnegative Matrix Factorization in Dimensionality Reduction: A Surveyby Farid Saberi-Movahed, Kamal Berahman, Razieh Sheikhpour, Yuefeng…
Classification of Breast Cancer Histopathology Images using a Modified Supervised Contrastive Learning Methodby Matina Mahdizadeh…
UniDEC : Unified Dual Encoder and Classifier Training for Extreme Multi-Label Classificationby Siddhant Kharbanda, Devaansh…
Statistical Edge Detection And UDF Learning For Shape Representationby Virgile Foy, Fabrice Gamboa, Reda ChhaibiFirst…
Annot-Mix: Learning with Noisy Class Labels from Multiple Annotators via a Mixup Extensionby Marek Herde,…