Jamie Kiros
Affiliations:- Google Brain, Toronto, ON, Canada
- University of Toronto, Department of Computer Science, ON, Canada
According to our database1,
Jamie Kiros
authored at least 37 papers
between 2012 and 2022.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on linkedin.com
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on github.com
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on ai.google
On csauthors.net:
Bibliography
2022
Trans. Assoc. Comput. Linguistics, 2022
2021
Improving domain adaptation in de-identification of electronic health records through self-training.
J. Am. Medical Informatics Assoc., 2021
Generate, Annotate, and Learn: Generative Models Advance Self-Training and Knowledge Distillation.
CoRR, 2021
2020
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Multichannel Generative Language Model: Learning All Possible Factorizations Within and Across Channels.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
2019
ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal Reinforcement Learning.
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
2018
Conditional Neural Language Models for Multimodal Learning and Natural Language Understanding.
PhD thesis, 2018
InferLite: Simple Universal Sentence Representations from Natural Language Inference Data.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the British Machine Vision Conference 2018, 2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
2017
Proceedings of the 5th International Conference on Learning Representations, 2017
2016
Proceedings of the 4th International Conference on Learning Representations, 2016
Proceedings of the 1st Workshop on Representation Learning for NLP, 2016
2015
Exploratory Visual Analysis and Interactive Pattern Extraction from Semi-Structured Data.
ACM Trans. Interact. Intell. Syst., 2015
CoRR, 2015
AI Matters, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015
2014
CoRR, 2014
A Multiplicative Model for Learning Distributed Text-Based Attribute Representations.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Stacked Multiscale Feature Learning for Domain Independent Medical Image Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
2013
Proceedings of the 1st International Conference on Learning Representations, 2013
2012
Proceedings of the Rough Sets and Current Trends in Computing, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Regularizers versus Losses for Nonlinear Dimensionality Reduction: A Factored View with New Convex Relaxations.
Proceedings of the 29th International Conference on Machine Learning, 2012