Jamie Ryan Kiros

Research Scientist

University of Toronto/Google

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Papers19 papers

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Graph Normalizing Flows

Jenny Liu, Aviral Kumar,Jimmy Ba,Jamie Kiros,Kevin Swersky

NeurIPS, (2019): 13556-13566

Cited by25EIBibtex

ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal Reinforcement Learning

Harris Chan, Yuhuai Wu,Jamie Kiros,Sanja Fidler,Jimmy Ba

arXiv: Learning, (2019)

Cited by4EIBibtex

DOM-Q-NET: Grounded RL on Structured Language

Sheng Jia,Jamie Kiros,Jimmy Ba

ICLR, (2019)

Cited by1EIBibtex

Insertion Transformer: Flexible Sequence Generation via Insertion Operations

Mitchell Stern,William Chan,Jamie Kiros,Jakob Uszkoreit

International Conference on Machine Learning, (2019): 5976-5985

Cited by44EIBibtex

Illustrative Language Understanding: Large-Scale Visual Grounding with Image Search

Jamie Kiros,William Chan,Geoffrey E. Hinton

ACL, pp.922-933, (2018)

Cited by12EIBibtex

Joint Embeddings of Scene Graphs and Images

Eugene Belilovsky,Matthew B. Blaschko,Jamie Kiros,Raquel Urtasun,Richard S. Zemel

international conference on learning representations, (2016)

EIBibtex

Towards Generalizable Sentence Embeddings

Eleni Triantafillou,Ryan Kiros,Raquel Urtasun,Richard S. Zemel

Rep4NLP@ACL, pp.239-248, (2016)

EIBibtex

Skip-Thought Vectors

Ryan Kiros, Yukun Zhu,Ruslan Salakhutdinov,Richard S. Zemel,Raquel Urtasun,Antonio Torralba,Sanja Fidler

NIPS, pp.3294-3302, (2015)

EIBibtex

Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books

Yukun Zhu,Ryan Kiros,Richard S. Zemel,Ruslan Salakhutdinov,Raquel Urtasun,Antonio Torralba,Sanja Fidler

ICCV, (2015)

Cited by507EIBibtex

Skip-Thought Vectors

Ryan Kiros,Yukun Zhu,Ruslan Salakhutdinov,Richard S. Zemel,Raquel Urtasun,Antonio Torralba,Sanja Fidler

Annual Conference on Neural Information Processing Systems, (2015)

Cited by1721EIBibtex

Exploring Models and Data for Image Question Answering

Mengye Ren,Ryan Kiros,Richard S. Zemel

Annual Conference on Neural Information Processing Systems, (2015)

Cited by468EIBibtex

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

Kelvin Xu,Jimmy Ba,Ryan Kiros,Kyunghyun Cho,Aaron C. Courville,Ruslan Salakhutdinov,Richard S. Zemel,Yoshua Bengio

International Conference on Machine Learning, (2015)

Cited by5364EIBibtex

Scalable Bayesian Optimization Using Deep Neural Networks

Jasper Snoek,Oren Rippel,Kevin Swersky,Ryan Kiros,Nadathur Satish,Narayanan Sundaram,Md. Mostofa Ali Patwary,Prabhat,Ryan P. Adams

International Conference on Machine Learning, (2015)

Cited by443EIBibtex

Order-Embeddings of Images and Language

Ivan Vendrov,Ryan Kiros,Sanja Fidler,Raquel Urtasun

international conference on learning representations, (2015)

Cited by326EIBibtex

Action Recognition using Visual Attention

Shikhar Sharma,Ryan Kiros,Ruslan Salakhutdinov

neural information processing systems, (2015)

Cited by447EIBibtex

Multimodal Neural Language Models

Ryan Kiros,Ruslan Salakhutdinov,Richard S. Zemel

ICML, pp.595-603, (2014)

Cited by501EIBibtex

Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models

Ryan Kiros,Ruslan Salakhutdinov,Richard S. Zemel

CoRR, (2014)

Cited by850EIBibtex

A Multiplicative Model for Learning Distributed Text-Based Attribute Representations

Ryan Kiros,Richard S. Zemel,Ruslan Salakhutdinov

NIPS, (2014): 2348-2356

Cited by66EIBibtex

Regularizers versus Losses for Nonlinear Dimensionality Reduction: A Factored View with New Convex Relaxations

James Neufeld,Yaoliang Yu,Xinhua Zhang,Ryan Kiros,Dale Schuurmans

ICML, (2012)

Cited by4EIBibtex

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