Pablo Piantanida
3 papers in the PaperMetrix corpus
Papers by this author
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A Data-Driven Measure of Relative Uncertainty for Misclassification Detection
2023 · arXiv (Cornell University)
Misclassification detection is an important problem in machine learning, as it allows for the identification of instances where the model's predictions are unreliable. However, conventional uncertainty measures such as Shannon entropy do not provide an …
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Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models
2023
Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Myriam Tami, Victor Storchan, Ismail Ayed, Pablo Piantanida. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023.
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Membership Inference Risks in Quantized Models: A Theoretical and Empirical Study
2025 · arXiv (Cornell University)
Quantizing machine learning models has demonstrated its effectiveness in lowering memory and inference costs while maintaining performance levels comparable to those of the original models. In this work, we investigate the impact of quantization procedures …