Skip to yearly menu bar Skip to main content


Search All 2022 Events
 

7 Results

<<   <   Page 1 of 1   >>   >
Poster
Wed 14:00 Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data
Harsh Rangwani · Sumukh K Aithal · Mayank Mishra · Venkatesh Babu R
Workshop
Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning
Chunhui Zhang · Chao Huang · Yijun Tian · Qianlong Wen · Zhongyu Ouyang · Youhuan Li · Yanfang Ye · Chuxu Zhang
Workshop
On the Implicit Geometry of Cross-Entropy Parameterizations for Label-Imbalanced Data
Tina Behnia · Ganesh Ramachandra Kini · Vala Vakilian · Christos Thrampoulidis
Workshop
Hybrid-EDL: Improving Evidential Deep Learning for Uncertainty Quantification on Imbalanced Data
Tong Xia · Jing Han · Lorena Qendro · Ting Dang · Cecilia Mascolo
Workshop
Online Continual Learning from Imbalanced Data with Kullback-Leibler-loss based replay buffer updates
Sotirios Nikoloutsopoulos · Iordanis Koutsopoulos · Michalis Titsias
Poster
Tue 14:00 Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection
GE ZHANG · Zhenyu Yang · Jia Wu · Jian Yang · Shan Xue · Hao Peng · Jianlin Su · Chuan Zhou · Quan Z. Sheng · Leman Akoglu · Charu Aggarwal
Poster
Tue 9:00 Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation
Sérgio Jesus · José Pombal · Duarte Alves · André Cruz · Pedro Saleiro · Rita Ribeiro · João Gama · Pedro Bizarro