Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified ...

Active learning represents a transformative paradigm in machine learning, aimed at reducing the annotation burden by selectively querying the most informative data points. This approach leverages ...

Q: What main themes of your chapter would you like readers to take away and bring back to their institutions and organizations? A: In my chapter, I ask whether the experience of the pandemic will help ...