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method ID: uncertaintyestimation

Related Papers

Word-Level Uncertainty Estimation for Black-Box Text Classifiers using RNNs

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractEstimating uncertainties of Neural Network predictions paves the way towards more reliable and trustful text classifications. However, common uncertainty estimation approaches remain as black-boxes without explaining which features have led …...

3880

Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractRecent multilingual pre-trained language models have achieved remarkable zero-shot performance, where the model is only finetuned on one source language and directly evaluated on target languages. In this work, we …...

31452

On the Calibration and Uncertainty of Neural Learning to Rank Models for Conversational Search

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractAccording to the Probability Ranking Principle (PRP), ranking documents in decreasing order of their probability of relevance leads to an optimal document ranking for ad-hoc retrieval. The PRP holds when …...

42902

Uncertainty Estimation and Reduction of Pre-trained Models for Text Regression

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractState-of-the-art classification and regression models are often not well calibrated, and cannot reliably provide uncertainty estimates, limiting their utility in safety-critical applications such as clinical decision-making. While recent work has …...

26745

Uncertainty Estimation of Transformer Predictions for Misclassification Detection

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractUncertainty estimation (UE) of model predictions is a crucial step for a variety of tasks such as active learning, misclassification detection, adversarial attack detection, out-of-distribution detection, etc. Most of the …...

37127

Hybrid Uncertainty Quantification for Selective Text Classification in Ambiguous Tasks

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractMany text classification tasks are inherently ambiguous, which results in automatic systems having a high risk of making mistakes, in spite of using advanced machine learning models. For example, toxicity …...

37982

Test-time Adaptation for Machine Translation Evaluation by Uncertainty Minimization

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractThe neural metrics recently received considerable attention from the research community in the automatic evaluation of machine translation. Unlike text-based metrics that have interpretable and consistent evaluation mechanisms for various …...

38809

Uncertainty Guided Label Denoising for Document-level Distant Relation Extraction

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractDocument-level relation extraction (DocRE) aims to infer complex semantic relations among entities in a document. Distant supervision (DS) is able to generate massive auto-labeled data, which can improve DocRE performance. …...

37531