Gabriel Bender
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
- Privacy-Preserving Technologies in Data
- Adversarial Robustness in Machine Learning
- Cryptography and Data Security
- Machine Learning and Data Classification
Papers in ⓘ
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- Domain Adaptation and Few-Shot Learning 5
- Cryptography and Data Security 2
- Stochastic Gradient Optimization Techniques 2
- Security and Verification in Computing 2
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- Distributed systems and fault tolerance 4
- Advanced Data Storage Technologies 2
- Co-authors
- Quoc V. Le (5 shared papers)Pieter-Jan Kindermans (4 shared papers)Barret Zoph (1 shared paper)Vijay Vasudevan (1 shared paper)Johannes Gehrke (8 shared papers)Brandon Yang (2 shared papers)Jiquan Ngiam (2 shared papers)Xiaokui Xiao (1 shared paper)
- Journals
- ACM Transactions on Database Systems (1 paper)IBM Systems Journal (1 paper)Proceedings of the VLDB Endowment (1 paper)SHILAP Revista de lepidopterología (1 paper)International Conference on Machine Learning (1 paper)
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
Gabriel Bender
17 papers receiving 676 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Computer Vision and Pattern Recognition 415
- Artificial Intelligence 408
- Computer Science Applications 29
- Computer Networks and Communications 75
- Media Technology 28
Countries citing papers authored by Gabriel Bender
This map shows the geographic impact of Gabriel Bender'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 Gabriel Bender with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel Bender more than expected).
Fields of papers citing papers by Gabriel Bender
This network shows the impact of papers produced by Gabriel Bender. 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 Gabriel Bender. The network helps show where Gabriel Bender may publish in the future.
Co-authors
The 25 scholars most cited alongside Gabriel Bender, 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 | Understanding and Simplifying One-Shot Architecture Search Hit paper breakdown → | 2018 | 234 |
| 2 | 2019 | 123 | |
| 3 | 2021 | 97 | |
| 4 | 2011 | 94 | |
| 5 | 2020 | 64 | |
| 6 | 2015 | 33 | |
| 7 | 2014 | 16 | |
| 8 | 1967 | 11 | |
| 9 | 2021 | 7 | |
| 10 | 2011 | 5 | |
| 11 | 2012 | 4 | |
| 12 | 2013 | 4 | |
| 13 | 2011 | 3 | |
| 14 | 2021 | 3 | |
| 15 | Soft Conditional Computation. | 2019 | 2 |
| 16 | 2021 | 2 | |
| 17 | 2011 | 1 | |
| 18 | 2018 | 0 |
About Gabriel Bender
Gabriel Bender is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems and General Health Professions, having authored 18 papers that have together received 703 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Domain Adaptation and Few-Shot Learning (5 papers), Distributed systems and fault tolerance (4 papers), Advanced Data Storage Technologies (2 papers), Cryptography and Data Security (2 papers), Stochastic Gradient Optimization Techniques (2 papers), Security and Verification in Computing (2 papers) and Cloud Computing and Resource Management (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (415 citations), Artificial Intelligence (408 citations), Computer Science Applications (29 citations), Computer Networks and Communications (75 citations) and Media Technology (28 citations). Gabriel Bender has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Quoc V. Le, Pieter-Jan Kindermans, Barret Zoph, Vijay Vasudevan, Johannes Gehrke, Brandon Yang, Jiquan Ngiam, Xiaokui Xiao, Michael Hay and Hanxiao Liu. Their work appears in journals such as ACM Transactions on Database Systems, IBM Systems Journal, Proceedings of the VLDB Endowment, SHILAP Revista de lepidopterología and International Conference on Machine Learning.
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.