Aditya Krishna Menon
- Artificial Intelligence top 1%
- Information Systems top 0.5%
- Computer Vision and Pattern Recognition top 2%
- Management Science and Operations Research top 2%
- Biomedical Engineering
- Co-authors
- Scott SannerLexing XieCharles ElkanNewell R. WashburnRobert C. WilliamsonBarnabás PóczosAdam W. FeinbergCheng Soon Ong
- Topics
- Machine Learning and Data Classification (12 papers)Machine Learning and Algorithms (8 papers)Recommender Systems and Techniques (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEChemistry of Materials
- Partner nations
- United StatesAustraliaIndia
In The Last Decade
Aditya Krishna Menon
61 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Artificial Intelligence 1.2k
- Information Systems 1.1k
- Computer Vision and Pattern Recognition 492
- Management Science and Operations Research 257
- Biomedical Engineering 204
Countries citing papers authored by Aditya Krishna Menon
This map shows the geographic impact of Aditya Krishna Menon'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 Aditya Krishna Menon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aditya Krishna Menon more than expected).
Fields of papers citing papers by Aditya Krishna Menon
This network shows the impact of papers produced by Aditya Krishna Menon. 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 Aditya Krishna Menon. The network helps show where Aditya Krishna Menon may publish in the future.
Co-authorship network of co-authors of Aditya Krishna Menon
This figure shows the co-authorship network connecting the top 25 collaborators of Aditya Krishna Menon. A scholar is included among the top collaborators of Aditya Krishna Menon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aditya Krishna Menon. Aditya Krishna Menon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | A statistical perspective on distillation | 5 |
| 3 | Can gradient clipping mitigate label noise | 28 |
| 4 | Federated Learning with Only Positive Labels | 1 |
| 5 | Noise-tolerant fair classification | 2 |
| 6 | Multilabel reductions: what is my loss optimising? | 9 |
| 7 | Fairness risk measures | 6 |
| 8 | On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data | 7 |
| 9 | Monge blunts Bayes: Hardness Results for Adversarial Training. | 1 |
| 10 | 11 | |
| 11 | An Investigation of Positioning Accuracy Transmitted by Connected Heavy Vehicles Using DSRC | 2 |
| 12 | Practical linear models for large-scale one-class collaborative filtering | 10 |
| 13 | Learning from Binary Labels with Instance-Dependent Corruption | 2 |
| 14 | Bipartite ranking: a risk-theoretic perspective | 13 |
| 15 | Linking losses for density ratio and class-probability estimation | 7 |
| 16 | An Approach to Sparse, Fine-Grained OD Estimation | 1 |
| 17 | Learning from Corrupted Binary Labels via Class-Probability Estimation | 64 |
| 18 | Bayes-Optimal Scorers for Bipartite Ranking | 3 |
| 19 | On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance | 33 |
| 20 | A Machine Learning Framework for Programming by Example | 60 |
About Aditya Krishna Menon
Aditya Krishna Menon is a scholar working on Computational Mathematics, Artificial Intelligence and Transportation, having authored 66 papers that have together received 2.3k indexed citations. Recurring topics across this work include Machine Learning and Data Classification (12 papers), Machine Learning and Algorithms (8 papers) and Recommender Systems and Techniques (8 papers). The work is most often cited by research in Information Systems (1.1k citations), Artificial Intelligence (1.2k citations) and Computational Mathematics (18 citations). Aditya Krishna Menon has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Scott Sanner, Lexing Xie, Charles Elkan, Newell R. Washburn, Robert C. Williamson, Barnabás Póczos, Adam W. Feinberg, Cheng Soon Ong, Deepak Agarwal and Sachin Garg. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Chemistry of Materials.
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.