Scott Reed
Impact in
- Computer Vision and Pattern Recognition top 0.01%
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
- Media Technology top 0.05%
Papers in
-
- Reinforcement Learning in Robotics 4
- Domain Adaptation and Few-Shot Learning 3
-
- Robot Manipulation and Learning 4
- Control Systems and Identification 3
- Adaptive Control of Nonlinear Systems 3
- Co-authors
- Dragomir Anguelov (2 shared papers)Dumitru Erhan (2 shared papers)Andrew Rabinovich (2 shared papers)Christian Szegedy (2 shared papers)Pierre Sermanet (1 shared paper)Yangqing Jia (1 shared paper)Vincent Vanhoucke (1 shared paper)Wei Liu (1 shared paper)
- Journals
- International Journal for Parasitology Parasites and Wildlife (1 paper)PLoS ONE (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)AIAA Guidance, Navigation, and Control Conference (3 papers)2018 AIAA Guidance, Navigation, and Control Conference (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Scott Reed
25 papers receiving 31.1k citations
Scott Reed's Hit Papers
Peers
Comparison fields: 5 of 215
- Computer Vision and Pattern Recognition 17.8k
- Media Technology 3.0k
- Artificial Intelligence 10.1k
- Signal Processing 1.9k
- Radiology, Nuclear Medicine and Imaging 3.4k
Countries citing papers authored by Scott Reed
This map shows the geographic impact of Scott Reed'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 Scott Reed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Reed more than expected).
Fields of papers citing papers by Scott Reed
This network shows the impact of papers produced by Scott Reed. 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 Scott Reed. The network helps show where Scott Reed may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott Reed, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Going deeper with convolutions Hit paper breakdown → | 2015 | 31022 |
| 2 | Learning Deep Representations of Fine-Grained Visual Descriptions Hit paper breakdown → | 2016 | 486 |
| 3 | TRAINING DEEP NEURAL NETWORKS ON NOISY LABELS WITH BOOTSTRAPPING | 2015 | 145 |
| 4 | 2016 | 103 | |
| 5 | Neural Programmer-Interpreters | 2016 | 92 |
| 6 | Learning to Disentangle Factors of Variation with Manifold Interaction | 2014 | 87 |
| 7 | Deep visual analogy-making | 2015 | 71 |
| 8 | 2018 | 27 | |
| 9 | Robust imitation of diverse behaviors | 2017 | 25 |
| 10 | 2016 | 23 | |
| 11 | Generating Interpretable Images with Controllable Structure | 2017 | 22 |
| 12 | Sample-efficient adaptive text-to-speech | 2018 | 16 |
| 13 | Quantifying and simulating the behavior of knowledge-based interpretation systems | 1980 | 12 |
| 14 | 2011 | 11 | |
| 15 | 2006 | 6 | |
| 16 | 2012 | 5 | |
| 17 | 2012 | 5 | |
| 18 | A Framework for Data-Driven Robotics | 2019 | 4 |
| 19 | Coupled control of a lightweight ROV and manipulator arm for intervention tasks | 2017 | 3 |
| 20 | Learning Compositional Neural Programs with Recursive Tree Search and Planning | 2019 | 2 |
About Scott Reed
Scott Reed is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Ocean Engineering, having authored 25 papers that have together received 32.2k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (4 papers), Reinforcement Learning in Robotics (4 papers), Robot Manipulation and Learning (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Control Systems and Identification (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Adaptive Control of Nonlinear Systems (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (17.8k citations), Media Technology (3.0k citations), Artificial Intelligence (10.1k citations), Signal Processing (1.9k citations) and Radiology, Nuclear Medicine and Imaging (3.4k citations). Scott Reed has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Dragomir Anguelov, Dumitru Erhan, Andrew Rabinovich, Christian Szegedy, Pierre Sermanet, Yangqing Jia, Vincent Vanhoucke, Wei Liu, Honglak Lee and Bernt Schiele. Their work appears in journals such as International Journal for Parasitology Parasites and Wildlife, PLoS ONE, HAL (Le Centre pour la Communication Scientifique Directe), AIAA Guidance, Navigation, and Control Conference and 2018 AIAA Guidance, Navigation, and Control Conference.
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.