Ryan Kiros
Impact in
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Video Analysis and Summarization
- Artificial Intelligence top 0.5%
- Topic Modeling
- Domain Adaptation and Few-Shot Learning
- Natural Language Processing Techniques
Papers in
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- Multimodal Machine Learning Applications 5
- Advanced Image and Video Retrieval Techniques 4
- Image Retrieval and Classification Techniques 4
- Data Visualization and Analytics 2
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- Topic Modeling 3
- Natural Language Processing Techniques 3
- Domain Adaptation and Few-Shot Learning 1
- Co-authors
- Rich Zemel (2 shared papers)Kyunghyun Cho (1 shared paper)Yoshua Bengio (1 shared paper)Aaron Courville (1 shared paper)Kelvin Xu (1 shared paper)Jimmy Ba (1 shared paper)Ruslan Salakhutdinov (3 shared papers)Richard S. Zemel (3 shared papers)
- Journals
- ACM Transactions on Interactive Intelligent Systems (1 paper)Lecture notes in computer science (2 papers)International Conference on Machine Learning (2 papers)arXiv (Cornell University) (5 papers)Neural Information Processing Systems (1 paper)
- Partner nations
- CanadaUnited States
In The Last Decade
Ryan Kiros
11 papers receiving 5.5k citations
Ryan Kiros's Hit Papers
Peers
Comparison fields: 5 of 157
- Computer Vision and Pattern Recognition 3.9k
- Artificial Intelligence 3.2k
- Signal Processing 270
- Health Informatics 26
- Media Technology 172
Countries citing papers authored by Ryan Kiros
This map shows the geographic impact of Ryan Kiros's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ryan Kiros with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Kiros more than expected).
Fields of papers citing papers by Ryan Kiros
This network shows the impact of papers produced by Ryan Kiros. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ryan Kiros. The network helps show where Ryan Kiros may publish in the future.
Co-authors
The 24 scholars most cited alongside Ryan Kiros, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Show, Attend and Tell: Neural Image Caption Generation with Visual Attention Hit paper breakdown → | 2015 | 4830 |
| 2 | Skip-Thought Vectors Hit paper breakdown → | 2015 | 422 |
| 3 | Multimodal Neural Language Models Hit paper breakdown → | 2014 | 337 |
| 4 | Image Question Answering: A Visual Semantic Embedding Model and a New Dataset. | 2015 | 85 |
| 5 | Deep Representations and Codes for Image Auto-Annotation | 2012 | 28 |
| 6 | 2014 | 25 | |
| 7 | 2014 | 18 | |
| 8 | 2015 | 10 | |
| 9 | Training Neural Networks with Stochastic Hessian-Free Optimization | 2013 | 4 |
| 10 | Regularizers versus Losses for Nonlinear Dimensionality Reduction: A Factored View with New Convex Relaxations | 2012 | 1 |
| 11 | 2012 | 1 | |
| 12 | 2016 | 0 |
About Ryan Kiros
Ryan Kiros is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Mathematical Physics, Signal Processing and Computational Mechanics, having authored 12 papers that have together received 5.8k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (5 papers), Advanced Image and Video Retrieval Techniques (4 papers), Image Retrieval and Classification Techniques (4 papers), Topic Modeling (3 papers), Natural Language Processing Techniques (3 papers), Data Visualization and Analytics (2 papers), Domain Adaptation and Few-Shot Learning (1 paper) and Ultrasound Imaging and Elastography (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (3.9k citations), Artificial Intelligence (3.2k citations), Signal Processing (270 citations), Health Informatics (26 citations) and Media Technology (172 citations). Ryan Kiros has collaborated with scholars based in Canada and United States. Frequent co-authors include Rich Zemel, Kyunghyun Cho, Yoshua Bengio, Aaron Courville, Kelvin Xu, Jimmy Ba, Ruslan Salakhutdinov, Richard S. Zemel, Yukun Zhu and Sanja Fidler. Their work appears in journals such as ACM Transactions on Interactive Intelligent Systems, Lecture notes in computer science, International Conference on Machine Learning, arXiv (Cornell University) and Neural Information Processing Systems.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.