Eugene Belilovsky
Impact in
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- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning
- Machine Learning and ELM
- Topic Modeling
Papers in
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- Multimodal Machine Learning Applications 6
- Generative Adversarial Networks and Image Synthesis 4
- Advanced Neural Network Applications 4
- Human Pose and Action Recognition 2
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- Domain Adaptation and Few-Shot Learning 8
- Adversarial Robustness in Machine Learning 2
- Co-authors
- Rahaf Aljundi (2 shared papers)M. Caccia (2 shared papers)Laurent Charlin (1 shared paper)Min Lin (1 shared paper)Tinne Tuytelaars (1 shared paper)Matthew B. Blaschko (4 shared papers)Edouard Oyallon (3 shared papers)Sergey Zagoruyko (2 shared papers)
- Journals
- IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control (1 paper)Computerized Medical Imaging and Graphics (1 paper)Scientific Reports (1 paper)Cell (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)
- Partner nations
- CanadaFranceUnited States
In The Last Decade
Eugene Belilovsky
21 papers receiving 335 citations
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 187
- Artificial Intelligence 234
- Signal Processing 22
- Radiology, Nuclear Medicine and Imaging 37
- Computational Mathematics 1
Countries citing papers authored by Eugene Belilovsky
This map shows the geographic impact of Eugene Belilovsky'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 Eugene Belilovsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugene Belilovsky more than expected).
Fields of papers citing papers by Eugene Belilovsky
This network shows the impact of papers produced by Eugene Belilovsky. 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 Eugene Belilovsky. The network helps show where Eugene Belilovsky may publish in the future.
Co-authors
The 25 scholars most cited alongside Eugene Belilovsky, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Online Continual Learning with Maximal Interfered Retrieval | 2019 | 125 |
| 2 | 2018 | 41 | |
| 3 | 2022 | 29 | |
| 4 | 2021 | 20 | |
| 5 | 2022 | 17 | |
| 6 | 2018 | 16 | |
| 7 | A Test of Relative Similarity For Model Selection in Generative Models | 2016 | 14 |
| 8 | 2019 | 14 | |
| 9 | 2015 | 13 | |
| 10 | 2022 | 10 | |
| 11 | 2024 | 8 | |
| 12 | 2015 | 5 | |
| 13 | 2023 | 5 | |
| 14 | 2025 | 5 | |
| 15 | 2020 | 5 | |
| 16 | 2025 | 4 | |
| 17 | 2009 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2023 | 2 | |
| 20 | Online Learned Continual Compression with Stacked Quantization Module. | 2019 | 1 |
About Eugene Belilovsky
Eugene Belilovsky is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Computational Mechanics and Epidemiology, having authored 23 papers that have together received 342 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (8 papers), Multimodal Machine Learning Applications (6 papers), Generative Adversarial Networks and Image Synthesis (4 papers), Advanced Neural Network Applications (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Sparse and Compressive Sensing Techniques (3 papers), Adversarial Robustness in Machine Learning (2 papers) and Human Pose and Action Recognition (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (187 citations), Artificial Intelligence (234 citations), Signal Processing (22 citations), Radiology, Nuclear Medicine and Imaging (37 citations) and Computational Mathematics (1 citation). Eugene Belilovsky has collaborated with scholars based in Canada, France and United States. Frequent co-authors include Rahaf Aljundi, M. Caccia, Laurent Charlin, Min Lin, Tinne Tuytelaars, Matthew B. Blaschko, Edouard Oyallon, Sergey Zagoruyko, Sudhir P. Mudur and Simon Lacoste-Julien. Their work appears in journals such as IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, Computerized Medical Imaging and Graphics, Scientific Reports, Cell and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.