Jamie Kiros
Jamie Kiros
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Show, attend and tell: Neural image caption generation with visual attention
K Xu, J Ba, R Kiros, K Cho, A Courville, R Salakhudinov, R Zemel, ...
International conference on machine learning, 2048-2057, 2015
Layer normalization
JL Ba, JR Kiros, GE Hinton
arXiv preprint arXiv:1607.06450, 2016
Skip-thought vectors
R Kiros, Y Zhu, RR Salakhutdinov, R Zemel, R Urtasun, A Torralba, ...
Advances in neural information processing systems, 3294-3302, 2015
Gpt-4 technical report
J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ...
arXiv preprint arXiv:2303.08774, 2023
Aligning books and movies: Towards story-like visual explanations by watching movies and reading books
Y Zhu, R Kiros, R Zemel, R Salakhutdinov, R Urtasun, A Torralba, S Fidler
Proceedings of the IEEE international conference on computer vision, 19-27, 2015
Unifying visual-semantic embeddings with multimodal neural language models
R Kiros, R Salakhutdinov, RS Zemel
arXiv preprint arXiv:1411.2539, 2014
Vse++: Improved visual-semantic embeddings
F Faghri, DJ Fleet, JR Kiros, S Fidler
arXiv preprint arXiv:1707.05612 2 (7), 8, 2017
Scalable bayesian optimization using deep neural networks
J Snoek, O Rippel, K Swersky, R Kiros, N Satish, N Sundaram, M Patwary, ...
International Conference on Machine Learning, 2171-2180, 2015
Exploring models and data for image question answering
M Ren, R Kiros, R Zemel
Advances in neural information processing systems, 2953-2961, 2015
Multimodal neural language models
R Kiros, R Salakhutdinov, R Zemel
International Conference on Machine Learning, 595-603, 2014
Action recognition using visual attention
S Sharma, R Kiros, R Salakhutdinov
arXiv preprint arXiv:1511.04119, 2015
Order-embeddings of images and language
I Vendrov, R Kiros, S Fidler, R Urtasun
arXiv preprint arXiv:1511.06361, 2015
Insertion Transformer: Flexible Sequence Generation via Insertion Operations
M Stern, W Chan, J Kiros, J Uszkoreit
arXiv preprint arXiv:1902.03249, 2019
Graph normalizing flows
J Liu, A Kumar, J Ba, J Kiros, K Swersky
Advances in Neural Information Processing Systems, 13556-13566, 2019
Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study
RD Rudyanto, S Kerkstra, EM Van Rikxoort, C Fetita, PY Brillet, C Lefevre, ...
Medical image analysis 18 (7), 1217-1232, 2014
A multiplicative model for learning distributed text-based attribute representations
R Kiros, R Zemel, RR Salakhutdinov
Advances in neural information processing systems, 2348-2356, 2014
Illustrative Language Understanding: Large-Scale Visual Grounding with Image Search
J Kiros, W Chan, G Hinton
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
Training neural networks with stochastic hessian-free optimization
R Kiros
arXiv preprint arXiv:1301.3641, 2013
Deep representations and codes for image auto-annotation
R Kiros, C Szepesvári
Advances in Neural Information Processing Systems, 908-916, 2012
Stacked multiscale feature learning for domain independent medical image segmentation
R Kiros, K Popuri, D Cobzas, M Jagersand
International Workshop on Machine Learning in Medical Imaging, 25-32, 2014
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