Summary of Uncertainty Quantification in Continual Open-world Learning, by Amanda S. Rios et al.
Uncertainty Quantification in Continual Open-World Learningby Amanda S. Rios, Ibrahima J. Ndiour, Parual Datta, Jaroslaw…
Uncertainty Quantification in Continual Open-World Learningby Amanda S. Rios, Ibrahima J. Ndiour, Parual Datta, Jaroslaw…
Unsupervised Novelty Detection Methods Benchmarking with Wavelet Decompositionby Ariel Priarone, Umberto Albertin, Carlo Cena, Mauro…
Universal Novelty Detection Through Adaptive Contrastive Learningby Hossein Mirzaei, Mojtaba Nafez, Mohammad Jafari, Mohammad Bagher…
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Surveyby Atsuyuki Miyai, Jingkang…
Remembering Transformer for Continual Learningby Yuwei Sun, Ippei Fujisawa, Arthur Juliani, Jun Sakuma, Ryota KanaiFirst…
Beyond the Known: Adversarial Autoencoders in Novelty Detectionby Muhammad Asad, Ihsan Ullah, Ganesh Sistu, Michael…
Hypothesis-Driven Deep Learning for Out of Distribution Detectionby Yasith Jayawardana, Azeem Ahmad, Balpreet S. Ahluwalia,…
Towards Explainable, Safe Autonomous Driving with Language Embeddings for Novelty Identification and Active Learning: Framework…
CLAN: A Contrastive Learning based Novelty Detection Framework for Human Activity Recognitionby Hyunju Kim, Dongman…