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ORCIDJamie Kiros
Person information
- affiliation: Google Brain, Toronto, ON, Canada
- affiliation: University of Toronto, Department of Computer Science, ON, Canada
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2020 – today
- 2022
[j4]Xuanli He, Islam Nassar, Jamie Kiros, Gholamreza Haffari, Mohammad Norouzi:
Generate, Annotate, and Learn: NLP with Synthetic Text. Trans. Assoc. Comput. Linguistics 10: 826-842 (2022)- 2021
- [j3]Shun Liao, Jamie Kiros, Jiyang Chen, Zhaolei Zhang, Ting Chen:
Improving domain adaptation in de-identification of electronic health records through self-training. J. Am. Medical Informatics Assoc. 28(10): 2093-2100 (2021) - [i17]Xuanli He, Islam Nassar, Jamie Kiros, Gholamreza Haffari, Mohammad Norouzi:
Generate, Annotate, and Learn: Generative Models Advance Self-Training and Knowledge Distillation. CoRR abs/2106.06168 (2021) - 2020
- [c24]Harris Chan, Jamie Kiros, William Chan:
Multichannel Generative Language Model: Learning All Possible Factorizations Within and Across Channels. EMNLP (Findings) 2020: 4208-4220 - [c23]William Chan, Mitchell Stern, Jamie Kiros, Jakob Uszkoreit:
An Empirical Study of Generation Order for Machine Translation. EMNLP (1) 2020: 5764-5773 - [c22]Katya Kudashkina, Peter Wittek, Jamie Kiros, Graham W. Taylor:
Modular Length Control for Sentence Generation. ESANN 2020: 607-612 - [i16]Jamie Kiros:
Contextual Lensing of Universal Sentence Representations. CoRR abs/2002.08866 (2020) - [i15]Harris Chan, Jamie Kiros, William Chan:
Multichannel Generative Language Model: Learning All Possible Factorizations Within and Across Channels. CoRR abs/2010.04438 (2020)
2010 – 2019
- 2019
- [c21]Sheng Jia, Jamie Kiros, Jimmy Ba:
DOM-Q-NET: Grounded RL on Structured Language. ICLR (Poster) 2019 - [c20]Mitchell Stern, William Chan, Jamie Kiros, Jakob Uszkoreit:
Insertion Transformer: Flexible Sequence Generation via Insertion Operations. ICML 2019: 5976-5985 - [c19]Jenny Liu, Aviral Kumar, Jimmy Ba, Jamie Kiros, Kevin Swersky:
Graph Normalizing Flows. NeurIPS 2019: 13556-13566 - [i14]Mitchell Stern, William Chan, Jamie Kiros, Jakob Uszkoreit:
Insertion Transformer: Flexible Sequence Generation via Insertion Operations. CoRR abs/1902.03249 (2019) - [i13]Harris Chan, Yuhuai Wu, Jamie Kiros, Sanja Fidler, Jimmy Ba:
ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal Reinforcement Learning. CoRR abs/1902.04546 (2019) - [i12]Sheng Jia, Jamie Kiros, Jimmy Ba:
DOM-Q-NET: Grounded RL on Structured Language. CoRR abs/1902.07257 (2019) - [i11]Jenny Liu, Aviral Kumar, Jimmy Ba, Jamie Kiros, Kevin Swersky:
Graph Normalizing Flows. CoRR abs/1905.13177 (2019) - [i10]William Chan, Mitchell Stern, Jamie Kiros, Jakob Uszkoreit:
An Empirical Study of Generation Order for Machine Translation. CoRR abs/1910.13437 (2019) - 2018
- [b1]Jamie Ryan Kiros:
Conditional Neural Language Models for Multimodal Learning and Natural Language Understanding. University of Toronto, Canada, 2018 - [c18]Jamie Ryan Kiros, William Chan, Geoffrey E. Hinton:
Illustrative Language Understanding: Large-Scale Visual Grounding with Image Search. ACL (1) 2018: 922-933 - [c17]Fartash Faghri, David J. Fleet, Jamie Ryan Kiros, Sanja Fidler:
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives. BMVC 2018: 12 - [c16]Jamie Ryan Kiros, William Chan:
InferLite: Simple Universal Sentence Representations from Natural Language Inference Data. EMNLP 2018: 4868-4874 - [e1]Isabelle Augenstein, Kris Cao, He He, Felix Hill, Spandana Gella, Jamie Kiros, Hongyuan Mei, Dipendra Misra:
Proceedings of The Third Workshop on Representation Learning for NLP, Rep4NLP@ACL 2018, Melbourne, Australia, July 20, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-43-8 [contents] - 2017
- [c15]Eugene Belilovsky, Matthew B. Blaschko, Jamie Ryan Kiros, Raquel Urtasun, Richard S. Zemel:
Joint Embeddings of Scene Graphs and Images. ICLR (Workshop) 2017 - [i9]Fartash Faghri, David J. Fleet, Jamie Ryan Kiros, Sanja Fidler:
VSE++: Improved Visual-Semantic Embeddings. CoRR abs/1707.05612 (2017) - 2016
- [c14]Eleni Triantafillou, Jamie Ryan Kiros, Raquel Urtasun, Richard S. Zemel:
Towards Generalizable Sentence Embeddings. Rep4NLP@ACL 2016: 239-248 - [c13]Ivan Vendrov, Ryan Kiros, Sanja Fidler, Raquel Urtasun:
Order-Embeddings of Images and Language. ICLR 2016 - [i8]Lei Jimmy Ba, Jamie Ryan Kiros, Geoffrey E. Hinton:
Layer Normalization. CoRR abs/1607.06450 (2016) - 2015
- [j2]Axel J. Soto, Ryan Kiros, Vlado Keselj, Evangelos E. Milios:
Machine learning meets visualization for extracting insights from text data. AI Matters 2(2): 15-17 (2015) - [j1]Axel J. Soto
, Ryan Kiros, Vlado Keselj, Evangelos E. Milios:
Exploratory Visual Analysis and Interactive Pattern Extraction from Semi-Structured Data. ACM Trans. Interact. Intell. Syst. 5(3): 16:1-16:36 (2015) - [c12]Yukun Zhu, Ryan Kiros, Richard S. Zemel, Ruslan Salakhutdinov, Raquel Urtasun, Antonio Torralba, Sanja Fidler:
Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books. ICCV 2015: 19-27 - [c11]Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron C. Courville, Ruslan Salakhutdinov, Richard S. Zemel, Yoshua Bengio:
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention. ICML 2015: 2048-2057 - [c10]Jasper Snoek, Oren Rippel, Kevin Swersky, Ryan Kiros, Nadathur Satish, Narayanan Sundaram, Md. Mostofa Ali Patwary, Prabhat, Ryan P. Adams:
Scalable Bayesian Optimization Using Deep Neural Networks. ICML 2015: 2171-2180 - [c9]Mengye Ren, Ryan Kiros, Richard S. Zemel:
Exploring Models and Data for Image Question Answering. NIPS 2015: 2953-2961 - [c8]Ryan Kiros, Yukun Zhu, Ruslan Salakhutdinov, Richard S. Zemel, Raquel Urtasun, Antonio Torralba, Sanja Fidler:
Skip-Thought Vectors. NIPS 2015: 3294-3302 - [i7]Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron C. Courville, Ruslan Salakhutdinov, Richard S. Zemel, Yoshua Bengio:
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention. CoRR abs/1502.03044 (2015) - [i6]Mengye Ren, Ryan Kiros, Richard S. Zemel:
Image Question Answering: A Visual Semantic Embedding Model and a New Dataset. CoRR abs/1505.02074 (2015) - [i5]Yukun Zhu, Ryan Kiros, Richard S. Zemel, Ruslan Salakhutdinov, Raquel Urtasun, Antonio Torralba, Sanja Fidler:
Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books. CoRR abs/1506.06724 (2015) - [i4]Ryan Kiros, Yukun Zhu, Ruslan Salakhutdinov, Richard S. Zemel, Antonio Torralba, Raquel Urtasun, Sanja Fidler:
Skip-Thought Vectors. CoRR abs/1506.06726 (2015) - [i3]Shikhar Sharma, Ryan Kiros, Ruslan Salakhutdinov:
Action Recognition using Visual Attention. CoRR abs/1511.04119 (2015) - 2014
- [c7]Ryan Kiros, Ruslan Salakhutdinov, Richard S. Zemel:
Multimodal Neural Language Models. ICML 2014: 595-603 - [c6]Ryan Kiros, Karteek Popuri, Dana Cobzas, Martin Jägersand:
Stacked Multiscale Feature Learning for Domain Independent Medical Image Segmentation. MLMI 2014: 25-32 - [c5]Ryan Kiros, Richard S. Zemel, Ruslan Salakhutdinov:
A Multiplicative Model for Learning Distributed Text-Based Attribute Representations. NIPS 2014: 2348-2356 - [i2]Ryan Kiros, Richard S. Zemel, Ruslan Salakhutdinov:
A Multiplicative Model for Learning Distributed Text-Based Attribute Representations. CoRR abs/1406.2710 (2014) - [i1]Ryan Kiros, Ruslan Salakhutdinov, Richard S. Zemel:
Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models. CoRR abs/1411.2539 (2014) - 2013
- [c4]Ryan Kiros:
Training Neural Networks with Stochastic Hessian-Free Optimization. ICLR (Poster) 2013 - 2012
- [c3]James Neufeld, Yaoliang Yu, Xinhua Zhang, Ryan Kiros, Dale Schuurmans:
Regularizers versus Losses for Nonlinear Dimensionality Reduction: A Factored View with New Convex Relaxations. ICML 2012 - [c2]Ryan Kiros, Csaba Szepesvári:
Deep Representations and Codes for Image Auto-Annotation. NIPS 2012: 917-925 - [c1]Ryan Kiros, Axel J. Soto, Evangelos E. Milios, Vlado Keselj:
Representation Learning for Sparse, High Dimensional Multi-label Classification. RSCTC 2012: 463-470
Coauthor Index
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