An joint end-to-end framework for learning with noisy labels
Qian Zhang, Feifei Lee, Yagang Wang, Damin Ding, Wei Yao, Lu Chen, Qiu Chen
Topics & Concepts
Computer scienceOverfittingEnd-to-end principleArtificial intelligenceGround truthA priori and a posterioriCross entropyNoise (video)Deep neural networksCrawlingMachine learningEntropy (arrow of time)Pattern recognition (psychology)Training setArtificial neural networkImage (mathematics)AnatomyEpistemologyPhilosophyPhysicsMedicineQuantum mechanicsMachine Learning and Data ClassificationMachine Learning and AlgorithmsImbalanced Data Classification Techniques