Ryan Kiros

22 papers A* 7Journal 9Unranked 6
YearRankTypeTitle / Venue / Authors
2016 A* conf
Order-Embeddings of Images and Language.
ICLR
Ivan Vendrov, Ryan Kiros, Sanja Fidler, Raquel Urtasun
2015 J jnl
Action Recognition using Visual Attention.
CoRR
Shikhar Sharma, Ryan Kiros, Ruslan Salakhutdinov
2015 A* conf
Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books.
ICCV
Yukun Zhu, Ryan Kiros, Richard S. Zemel, Ruslan Salakhutdinov, Raquel Urtasun, Antonio Torralba, Sanja Fidler
2015 J jnl
Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books.
CoRR
Yukun Zhu, Ryan Kiros, Richard S. Zemel, Ruslan Salakhutdinov, Raquel Urtasun, Antonio Torralba, Sanja Fidler
2015 J jnl
Exploratory Visual Analysis and Interactive Pattern Extraction from Semi-Structured Data.
ACM Trans. Interact. Intell. Syst.
Axel J. Soto, Ryan Kiros, Vlado Keselj, Evangelos E. Milios
2015 — conf
Exploring Models and Data for Image Question Answering.
NIPS
Mengye Ren, Ryan Kiros, Richard S. Zemel
2015 J jnl
Image Question Answering: A Visual Semantic Embedding Model and a New Dataset.
CoRR
Mengye Ren, Ryan Kiros, Richard S. Zemel
2015 J jnl
Machine learning meets visualization for extracting insights from text data.
AI Matters
Axel J. Soto, Ryan Kiros, Vlado Keselj, Evangelos E. Milios
2015 A* conf
Scalable Bayesian Optimization Using Deep Neural Networks.
ICML
Jasper Snoek, Oren Rippel, Kevin Swersky, Ryan Kiros, Nadathur Satish, Narayanan Sundaram, Md. Mostofa Ali Patwary, Prabhat, Ryan P. Adams
2015 A* conf
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention.
ICML
Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron C. Courville, Ruslan Salakhutdinov, Richard S. Zemel, Yoshua Bengio
2015 J jnl
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention.
CoRR
Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron C. Courville, Ruslan Salakhutdinov, Richard S. Zemel, Yoshua Bengio
2015 — conf
Skip-Thought Vectors.
NIPS
Ryan Kiros, Yukun Zhu, Ruslan Salakhutdinov, Richard S. Zemel, Raquel Urtasun, Antonio Torralba, Sanja Fidler
2015 J jnl
Skip-Thought Vectors.
CoRR
Ryan Kiros, Yukun Zhu, Ruslan Salakhutdinov, Richard S. Zemel, Antonio Torralba, Raquel Urtasun, Sanja Fidler
2014 — conf
A Multiplicative Model for Learning Distributed Text-Based Attribute Representations.
NIPS
Ryan Kiros, Richard S. Zemel, Ruslan Salakhutdinov
2014 J jnl
A Multiplicative Model for Learning Distributed Text-Based Attribute Representations.
CoRR
Ryan Kiros, Richard S. Zemel, Ruslan Salakhutdinov
2014 A* conf
Multimodal Neural Language Models.
ICML
Ryan Kiros, Ruslan Salakhutdinov, Richard S. Zemel
2014 — conf
Stacked Multiscale Feature Learning for Domain Independent Medical Image Segmentation.
MLMI
Ryan Kiros, Karteek Popuri, Dana Cobzas, Martin Jägersand
2014 J jnl
Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models.
CoRR
Ryan Kiros, Ruslan Salakhutdinov, Richard S. Zemel
2013 A* conf
Training Neural Networks with Stochastic Hessian-Free Optimization
ICLR (Poster)
Ryan Kiros
2012 — conf
Deep Representations and Codes for Image Auto-Annotation.
NIPS
Ryan Kiros, Csaba Szepesvári
2012 A* conf
Regularizers versus Losses for Nonlinear Dimensionality Reduction: A Factored View with New Convex Relaxations.
ICML
James Neufeld, Yaoliang Yu, Xinhua Zhang, Ryan Kiros, Dale Schuurmans
2012 — conf
Representation Learning for Sparse, High Dimensional Multi-label Classification.
RSCTC
Ryan Kiros, Axel J. Soto, Evangelos E. Milios, Vlado Keselj