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| Quantifying Representation Reliability in Self-Supervised Learning Models | May 31, 2023 | Self-Supervised LearningUncertainty Quantification | CodeCode Available | 0 |
| Offline Meta Reinforcement Learning with In-Distribution Online Adaptation | May 31, 2023 | Meta Reinforcement Learningreinforcement-learning | CodeCode Available | 0 |
| Non-convex Bayesian Learning via Stochastic Gradient Markov Chain Monte Carlo | May 30, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Perturbation-Assisted Sample Synthesis: A Novel Approach for Uncertainty Quantification | May 30, 2023 | DiversityImage Generation | CodeCode Available | 0 |
| Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models | May 30, 2023 | ManagementQuestion Answering | CodeCode Available | 1 |
| Probabilistic computation and uncertainty quantification with emerging covariance | May 30, 2023 | Uncertainty Quantification | CodeCode Available | 0 |
| Speech Intelligibility Assessment of Dysarthric Speech by using Goodness of Pronunciation with Uncertainty Quantification | May 28, 2023 | Uncertainty Quantification | CodeCode Available | 1 |
| Conformal Prediction with Large Language Models for Multi-Choice Question Answering | May 28, 2023 | Conformal PredictionMultiple-choice | CodeCode Available | 1 |
| Acceleration of stochastic gradient descent with momentum by averaging: finite-sample rates and asymptotic normality | May 28, 2023 | Uncertainty Quantification | —Unverified | 0 |
