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Self-SupervisedLearningbyCross-Modal Audio-VideoClustering

Neural Information Processing Systems

The first challenge is the exorbitant cost of scaling up the size of manually-labeled video datasets. The recent creation of large-scale action recognition datasets [5,15,25,26]hasundoubtedly enabled amajor leap forwardinvideo models accuracies.




SSUL: SemanticSegmentationwithUnknownLabel forExemplar-basedClass-IncrementalLearning

Neural Information Processing Systems

Class incremental learning (CIL) problem, in which a learner should incrementally learn newly arriving class objects while not "catastrophically" forgetting the past learned classes, isone ofthe fundamental, yet still open, problems in machine learning.


Emulate

Neural Information Processing Systems

Furthermore, H represents processinwhich intheprocess. Training generation Training time 200 test runs Total test) EnKIw/oLearning 0.0 0.0 Calibrate, emulate, sample.Journalof Computational Physics, 424:109716, 2021.



NeuralComplexityMeasures

Neural Information Processing Systems

While various complexity measures for deep neural networks exist, specifying an appropriate measure capable of predicting and explaining generalization in deep networks has provenchallenging.