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23 papers

Papers

Lost in Transcription, Found in Distribution Shift: Demystifying Hallucination in Speech Foundation Models ACL 2025 Comparative Analysis of Personalized Voice Activity Detection Systems: Assessing Real-World Effectiveness Interspeech 2024 Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound NeurIPS 2024 How many classifiers do we need? NeurIPS 2024 On Efficient and Statistical Quality Estimation for Data Annotation ACL 2024 On Universally Optimal Algorithms for A/B Testing ICML 2024 Optimal Differentially Private Model Training with Public Data ICML 2024 SeMaScore: A new evaluation metric for automatic speech recognition tasks Interspeech 2024 Unprocessing Seven Years of Algorithmic Fairness ICLR 2024 Fair and Optimal Classification via Post-Processing ICML 2023 FairGBM: Gradient Boosting with Fairness Constraints ICLR 2023 Investigating model performance in language identification: beyond simple error statistics Interspeech 2023 When are ensembles really effective? NeurIPS 2023 Behind the Mask: Demographic bias in name detection for PII masking ACL 2022 Characterizing Physical-Layer Transmission Errors in Cable Broadband Networks NSDI 2022 Towards Reliable Learning for High Stakes Applications AAAI 2019 On the Relationship between Data Efficiency and Error for Uncertainty Sampling ICML 2018 Regularization and the small-ball method II: complexity dependent error rates JMLR 2017 On the Influence of Text Content on Pass-Phrase Strength for Short-Duration Text-Dependent Automatic Speaker Authentication Interspeech 2016 Classifier Adaptation at Prediction Time CVPR 2015 The price of bandit information in multiclass online classification COLT 2013 Predicting response time and error rates in visual search NeurIPS 2011 A Reduction from Apprenticeship Learning to Classification NeurIPS 2010