10 code implementations • 3 Dec 2018 • Tarin Clanuwat, Mikel Bober-Irizar, Asanobu Kitamoto, Alex Lamb, Kazuaki Yamamoto, David Ha
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 tasks.
Ranked #4 on Image Classification on Kuzushiji-MNIST (Error metric)
1 code implementation • 20 Feb 2020 • Yingtao Tian, Chikahiko Suzuki, Tarin Clanuwat, Mikel Bober-Irizar, Alex Lamb, Asanobu Kitamoto
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 subject matter.
1 code implementation • 5 Feb 2024 • Mikel Bober-Irizar, Soumya Banerjee
We present the Perceptual Abstraction and Reasoning Language (PeARL) language, which allows DreamCoder to solve ARC tasks, and propose a new recognition model that allows us to significantly improve on the previous best implementation. We also propose a new encoding and augmentation scheme that allows large language models (LLMs) to solve ARC tasks, and find that the largest models can solve some ARC tasks.
1 code implementation • 25 Oct 2019 • 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.
2 code implementations • CVPR 2023 • Mikel Bober-Irizar, Ilia Shumailov, Yiren Zhao, Robert Mullins, Nicolas Papernot
Machine learning is vulnerable to adversarial manipulation.
no code implementations • 13 Jul 2017 • Mikel Bober-Irizar, Sameed Husain, Eng-Jon Ong, Miroslaw Bober
We investigate factors controlling DNN diversity in the context of the Google Cloud and YouTube-8M Video Understanding Challenge.
no code implementations • 3 Jul 2018 • Eng-Jon Ong, Sameed Husain, Mikel Bober-Irizar, Miroslaw Bober
This work addresses the problem of accurate semantic labelling of short videos.
no code implementations • 12 Jun 2021 • Alex Lamb, Tarin Clanuwat, Siyu Han, Mikel Bober-Irizar, Asanobu Kitamoto
A major research project has been to make these historical documents accessible and understandable.
no code implementations • 19 May 2022 • Syed Sameed Husain, Eng-Jon Ong, Dmitry Minskiy, Mikel Bober-Irizar, Amaia Irizar, Miroslaw Bober
Unravelling protein distributions within individual cells is key to understanding their function and state and indispensable to developing new treatments.