Jonathan Frankle
Impact in
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- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
Papers in
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- Adversarial Robustness in Machine Learning 4
- Domain Adaptation and Few-Shot Learning 4
- Logic, programming, and type systems 2
- Neural Networks and Applications 2
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- Advanced Neural Network Applications 5
- Generative Adversarial Networks and Image Synthesis 3
- Co-authors
- Michael Carbin (5 shared papers)Steve Zdancewic (2 shared papers)David Walker (2 shared papers)Peter-Michael Osera (2 shared papers)Gintare Karolina Dziugaite (2 shared papers)Daniel M. Roy (2 shared papers)Zhangyang Wang (1 shared paper)Tianlong Chen (1 shared paper)
- Journals
- ACM SIGPLAN Notices (1 paper)arXiv (Cornell University) (2 papers)DSpace@MIT (Massachusetts Institute of Technology) (1 paper)USENIX Security Symposium (1 paper)
- Partner nations
- United StatesIsrael
In The Last Decade
Jonathan Frankle
12 papers receiving 410 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 244
- Computational Mathematics 7
- Artificial Intelligence 315
- Software 20
- Hardware and Architecture 14
Countries citing papers authored by Jonathan Frankle
This map shows the geographic impact of Jonathan Frankle'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 Jonathan Frankle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Frankle more than expected).
Fields of papers citing papers by Jonathan Frankle
This network shows the impact of papers produced by Jonathan Frankle. 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 Jonathan Frankle. The network helps show where Jonathan Frankle may publish in the future.
Co-authors
The 24 scholars most cited alongside Jonathan Frankle, 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 | The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks. | 2019 | 237 |
| 2 | The Lottery Ticket Hypothesis: Training Pruned Neural Networks. | 2018 | 46 |
| 3 | 2021 | 44 | |
| 4 | 2016 | 34 | |
| 5 | The Lottery Ticket Hypothesis at Scale | 2019 | 25 |
| 6 | 2020 | 15 | |
| 7 | Practical Accountability of Secret Processes | 2018 | 10 |
| 8 | 2016 | 9 | |
| 9 | Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs | 2021 | 2 |
| 10 | 2024 | 1 | |
| 11 | Mode Connectivity and Sparse Neural Networks | 2019 | 1 |
| 12 | 2024 | 1 |
About Jonathan Frankle
Jonathan Frankle is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Software and Political Science and International Relations, having authored 12 papers that have together received 425 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Adversarial Robustness in Machine Learning (4 papers), Domain Adaptation and Few-Shot Learning (4 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Logic, programming, and type systems (2 papers), Neural Networks and Applications (2 papers), Software Testing and Debugging Techniques (2 papers) and Software Engineering Research (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (244 citations), Computational Mathematics (7 citations), Artificial Intelligence (315 citations), Software (20 citations) and Hardware and Architecture (14 citations). Jonathan Frankle has collaborated with scholars based in United States and Israel. Frequent co-authors include Michael Carbin, Steve Zdancewic, David Walker, Peter-Michael Osera, Gintare Karolina Dziugaite, Daniel M. Roy, Zhangyang Wang, Tianlong Chen, David J. Schwab and Shiyu Chang. Their work appears in journals such as ACM SIGPLAN Notices, arXiv (Cornell University), DSpace@MIT (Massachusetts Institute of Technology) and USENIX Security Symposium.
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.