14 citations · 19 across the 5 of their papers we have counts for
5 papers
Neural networks for abstraction and reasoning: Towards broad generalization in machines
Mikel Bober-Irizar, Soumya Banerjee
For half a century, artificial intelligence research has attempted to reproduce the human qualities of abstraction and reasoning - creating computer systems that can learn new conc…
Predicting the Ordering of Characters in Japanese Historical Documents
Alex Lamb, Tarin Clanuwat, Siyu Han +2
Japan is a unique country with a distinct cultural heritage, which is reflected in billions of historical documents that have been preserved. However, the change in Japanese writin…
KaoKore: A Pre-modern Japanese Art Facial Expression Dataset
Yingtao Tian, Chikahiko Suzuki, Tarin Clanuwat +3
From classifying handwritten digits to generating strings of text, the datasets which have received long-time focus from the machine learning community vary greatly in their subjec…
Learning to Localize Temporal Events in Large-scale Video Data
Mikel Bober-Irizar, Miha Skalic, David Austin
We address temporal localization of events in large-scale video data, in the context of the Youtube-8M Segments dataset. This emerging field within video recognition can enable app…
Deep Learning for Classical Japanese Literature
Tarin Clanuwat, Mikel Bober-Irizar, Asanobu Kitamoto +3
Much of machine learning research focuses on producing models which perform well on benchmark tasks, in turn improving our understanding of the challenges associated with those tas…