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Min-Max Loss, Revisiting Classification Losses

In continuation to my Partial Tagged Data Classification post, We formulate a generic loss function applicable to all task(classification, metric learning, clustering, ranking, etc)

Multi Single Class Learning, Classifying Partially Tagged Data

Machine Learning requires a large amount of clean data for the models to be trained. But that’s rarely the case in reality. A Scenario in real life is clicks/likes data,...

Hadamard Attentions: The Mighty Attentions Optimized

Attention is the mightiest layer so far, which symbolizes its parent paper that “Attention is all you need” in true sense. Almost all tasks, be it images, voice, text, reasoning,...