research
∙
07/19/2023
GenKL: An Iterative Framework for Resolving Label Ambiguity and Label Non-conformity in Web Images Via a New Generalized KL Divergence
Web image datasets curated online inherently contain ambiguous in-distri...
share
research
∙
03/21/2023
Abstract Visual Reasoning: An Algebraic Approach for Solving Raven's Progressive Matrices
We introduce algebraic machine reasoning, a new reasoning framework that...
research
∙
04/10/2022
FedCorr: Multi-Stage Federated Learning for Label Noise Correction
Federated learning (FL) is a privacy-preserving distributed learning par...
research
∙
08/12/2021
Dynamic Attention-based Communication-Efficient Federated Learning
Federated learning (FL) offers a solution to train a global machine lear...
research
∙
05/27/2021
Training Classifiers that are Universally Robust to All Label Noise Levels
For classification tasks, deep neural networks are prone to overfitting ...
research
∙
02/16/2020