IEEE

Semantic Hierarchy-Aware Hyperbolic Representations for Multi-Label Classification With Single Positive Labels

Abstract: Single positive multi-label learning (SPML) aims to recognize multiple categories with limited supervision from one positive label in an image. With the emergence of pre-trained ...
eLife

New idtracker.ai rethinks multi-animal tracking as a representation learning problem to increase accuracy and reduce tracking time

Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.
The New York Times

There’s a Third Political Party in Arizona. Just Don’t Call It ‘Independent.’

Both the Democratic and Republican parties in Arizona have been locked in a legal battle with a chapter of the group “No Labels” as it tries to rechristen itself. By Reis Thebault Reporting from ...
IEEE

Disentangling Consistent and Specific Information for Double Incomplete Multi-View Multi-Label Classification

Abstract: As a prominent research topic, multi-view multi-label classification (MvMlC) aims to assign multiple labels to samples by integrating information from various perspectives. However, in ...