Ryan Kiros

According to our database1, Ryan Kiros authored at least 25 papers between 2012 and 2017.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2017
VSE++: Improved Visual-Semantic Embeddings.
CoRR, 2017

2016
Layer Normalization.
CoRR, 2016

Towards Generalizable Sentence Embeddings.
Proceedings of the 1st Workshop on Representation Learning for NLP, 2016

2015
Exploratory Visual Analysis and Interactive Pattern Extraction from Semi-Structured Data.
TiiS, 2015

Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books.
CoRR, 2015

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention.
CoRR, 2015

Order-Embeddings of Images and Language.
CoRR, 2015

Action Recognition using Visual Attention.
CoRR, 2015

Image Question Answering: A Visual Semantic Embedding Model and a New Dataset.
CoRR, 2015

Skip-Thought Vectors.
CoRR, 2015

Machine learning meets visualization for extracting insights from text data.
AI Matters, 2015

Exploring Models and Data for Image Question Answering.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Skip-Thought Vectors.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Scalable Bayesian Optimization Using Deep Neural Networks.
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
A Multiplicative Model for Learning Distributed Text-Based Attribute Representations.
CoRR, 2014

Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models.
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

Multimodal Neural Language Models.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Training Neural Networks with Stochastic Hessian-Free Optimization
CoRR, 2013

2012
Representation Learning for Sparse, High Dimensional Multi-label Classification.
Proceedings of the Rough Sets and Current Trends in Computing, 2012

Deep Representations and Codes for Image Auto-Annotation.
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


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