Ganesh Ramakrishnan
4 papers in the PaperMetrix corpus
Papers by this author
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Interactive martingale boosting
2016 · International Joint Conference on Artificial Intelligence
We present an approach and a system that explores the application of interactive machine learning to a branching program-based boosting algorithm-- Martingale Boosting. Typically, its performance is based on the ability of a learner to …
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Scalable Optimization of Multivariate Performance Measures in Multi-instance Multi-label Learning
2017 · Proceedings of the AAAI Conference on Artificial Intelligence
The problem of multi-instance multi-label learning (MIML) requires a bag of instances to be assigned a set of labels most relevant to the bag as a whole. The problem finds numerous applications in machine learning, …
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Adaptive Mixing of Auxiliary Losses in Supervised Learning
2023 · Proceedings of the AAAI Conference on Artificial Intelligence
In many supervised learning scenarios, auxiliary losses are used in order to introduce additional information or constraints into the supervised learning objective. For instance, knowledge distillation aims to mimic outputs of a powerful teacher model; …
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Few shot chain-of-thought driven reasoning to prompt LLMs for open-ended medical question answering
2024
Saeel Sandeep Nachane, Ojas Gramopadhye, Prateek Chanda, Ganesh Ramakrishnan, Kshitij Sharad Jadhav, Yatin Nandwani, Dinesh Raghu, Sachindra Joshi. Findings of the Association for Computational Linguistics: EMNLP 2024. 2024.