Zaïd Harchaoui
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- Advanced Image and Video Retrieval Techniques 13
- Advanced Neural Network Applications 5
- Artificial Intelligence top 0.5%
- Domain Adaptation and Few-Shot Learning 10
- Stochastic Gradient Optimization Techniques 6
- Statistics and Probability top 1%
- Statistical Methods and Inference 9
- Media Technology top 2%
- Signal Processing top 5%
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- Sparse and Compressive Sensing Techniques 10
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- Advanced Optimization Algorithms Research 5
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- Control Systems and Identification 5
- Co-authors
- Cordelia SchmidFlorent PerronninZeynep AkataFrancis BachCéline Lévy‐LeducAdrien GaidonC. SchmidJérôme Revaud
- Journals
- SHILAP Revista de lepidopterología (1 paper)Journal of the American Statistical Association (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (3 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Zaïd Harchaoui
54 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Computer Vision and Pattern Recognition 1.6k
- Artificial Intelligence 1.4k
- Statistics and Probability 272
- Media Technology 169
- Signal Processing 185
Countries citing papers authored by Zaïd Harchaoui
This map shows the geographic impact of Zaïd Harchaoui'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 Zaïd Harchaoui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zaïd Harchaoui more than expected).
Fields of papers citing papers by Zaïd Harchaoui
This network shows the impact of papers produced by Zaïd Harchaoui. 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 Zaïd Harchaoui. The network helps show where Zaïd Harchaoui may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zaïd Harchaoui, 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 | 2025 | 9 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 2 | |
| 6 | 2021 | 3 | |
| 7 | MAUVE: Human-Machine Divergence Curves for Evaluating Open-Ended Text Generation. | 2021 | 1 |
| 8 | Stochastic optimization under time drift: iterate averaging, step-decay schedules, and high probability guarantees | 2021 | 1 |
| 9 | 2019 | 26 | |
| 10 | A Smoother Way to Train Structured Prediction Models | 2018 | 1 |
| 11 | Learning Features of Music from Scratch | 2016 | 11 |
| 12 | QuickeNing: A Generic Quasi-Newton Algorithm for Faster Gradient-Based Optimization | 2016 | 1 |
| 13 | Deep Convolutional Matching | 2015 | 4 |
| 14 | One-Bit Object Detection: On learning to localize objects with minimal supervision. | 2014 | 4 |
| 15 | 2014 | 45 | |
| 16 | 2013 | 123 | |
| 17 | A Fast, Consistent Kernel Two-Sample Test | 2009 | 79 |
| 18 | Kernel Change-point Analysis | 2008 | 73 |
| 19 | Catching Change-points with Lasso | 2007 | 58 |
| 20 | A Machine Learning Approach to Conjoint Analysis | 2004 | 31 |
About Zaïd Harchaoui
Zaïd Harchaoui is a scholar working on Computer Vision and Pattern Recognition, Statistics and Probability and Artificial Intelligence, having authored 59 papers that have together received 2.7k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (13 papers), Sparse and Compressive Sensing Techniques (10 papers), Domain Adaptation and Few-Shot Learning (10 papers), Statistical Methods and Inference (9 papers), Stochastic Gradient Optimization Techniques (6 papers), Advanced Neural Network Applications (5 papers), Advanced Optimization Algorithms Research (5 papers) and Control Systems and Identification (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Artificial Intelligence (1.4k citations) and Statistics and Probability (272 citations). Zaïd Harchaoui has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Cordelia Schmid, Florent Perronnin, Zeynep Akata, Francis Bach, Céline Lévy‐Leduc, Adrien Gaidon, C. Schmid, Jérôme Revaud, Julien Mairal and Philippe Weinzaepfel. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association 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.