Machine Learning Group
Department of Computer Science
University of Toronto
My research interests are in Statistical Machine Learning, Computer Vision and Natural Language Processing.
In-depth Interactive Visual Exploration for Bridging Unstructured and Structured Document Content
Axel J. Soto, Ryan Kiros, Vlado Keselj, Evangelos Milios. SDM Workshop on Exploratory Data Analysis, 2014.
[pdf coming soon]
Introducing ViTA-SSD, a visual text analytics tool for semi-structured data that utilizes a new deep learning algorithm.
Multimodal Neural Language Models
Ryan Kiros, Ruslan Salakhutdinov, Richard Zemel. NIPS Deep Learning Workshop, 2013.
Two new neural language models that can be conditioned on other modalities (such as images).
Learning Deep Representations, Embeddings and Codes from the Pixel Level of Natural and Medical Images
Ryan Kiros. University of Alberta, 2013.
Nominated for MSc Outstanding Thesis Award.
Occasionally I compete on Kaggle. You can find my profile here.