conftrace_

likelihood ratio

37 papers

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Also known as

LR

Co-occurring keywords

forensic voice comparison (15) speaker verification (577) out-of-distribution detection (617) speaker recognition (346) generative model (2892) neural network (6616) logistic regression (386) variational autoencoder (1288) end-to-end learning (457) linear non-gaussian acyclic model (10)

Papers

Collaborative likelihood-ratio estimation over graphs JMLR 2025
Translationese-index: Using Likelihood Ratios for Graded and Generalizable Measurement of Translationese EMNLP 2025
Direct Amortized Likelihood Ratio Estimation AAAI 2024
Unsupervised Novelty Detection in Pretrained Representation Space with Locally Adapted Likelihood Ratio AISTATS 2024
A Cubic-regularized Policy Newton Algorithm for Reinforcement Learning AISTATS 2024
Likelihood Ratio Confidence Sets for Sequential Decision Making NIPS 2023
FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score EMNLP 2023
Mitigating statistical bias within differentially private synthetic data UAI 2022
Probabilistic Spherical Discriminant Analysis: An Alternative to PLDA for length-normalized embeddings INTERSPEECH 2022
Eliciting and evaluating likelihood ratios for speaker recognition by human listeners under forensically realistic channel-mismatched conditions INTERSPEECH 2022
Reducing uncertainty at the score-to-LR stage in likelihood ratio-based forensic voice comparison using automatic speaker recognition systems INTERSPEECH 2022
High level feature fusion in forensic voice comparison INTERSPEECH 2022
Out-of-Distribution Detection with An Adaptive Likelihood Ratio on Informative Hierarchical VAE NIPS 2022
Out of a Hundred Trials, How Many Errors Does Your Speaker Verifier Make? INTERSPEECH 2021
System Performance as a Function of Calibration Methods, Sample Size and Sampling Variability in Likelihood Ratio-Based Forensic Voice Comparison INTERSPEECH 2021
Cross-Linguistic Speaker Individuality of Long-Term Formant Distributions: Phonetic and Forensic Perspectives INTERSPEECH 2021
Constrained Two-step Look-Ahead Bayesian Optimization NIPS 2021
Hierarchical VAEs Know What They Don’t Know ICML 2021
Likelihood Ratios and Generative Classifiers for Unsupervised Out-of-Domain Detection in Task Oriented Dialog AAAI 2020
Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features NIPS 2020
Neural PLDA Modeling for End-to-End Speaker Verification INTERSPEECH 2020
An end-to-end approach for the verification problem: learning the right distance ICML 2020
Likelihood Ratios for Out-of-Distribution Detection NIPS 2019
Articulation Rate as a Speaker Discriminant in British English INTERSPEECH 2018
Nearly second-order optimality of online joint detection and estimation via one-sample update schemes AISTATS 2018