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Measuring Affective and Motivational States as Conditions for Cognitive and Metacognitive Processing in Self-Regulated Learning.

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Learning to Multi-Task Learn for Better Neural Machine Translation., and . CoRR, (2020)Decoding As Dynamic Programming For Recurrent Autoregressive Models., , and . ICLR, OpenReview.net, (2020)Medical Multimodal Classifiers Under Scarce Data Condition., , , and . CoRR, (2019)Optimizing Multivariate Performance Measures for Learning Relation Extraction Models., , and . HLT-NAACL, page 892-900. The Association for Computational Linguistics, (2015)Learning Object-Language Alignments for Open-Vocabulary Object Detection., , , , , , , and . ICLR, OpenReview.net, (2023)Measuring Affective and Motivational States as Conditions for Cognitive and Metacognitive Processing in Self-Regulated Learning., , , , , , , , , and 2 other author(s). LAK, page 701-712. ACM, (2024)Caption Alignment for Low Resource Audio-Visual Data., , , , , , , , and . INTERSPEECH, page 3525-3529. ISCA, (2020)Energy-based Self-Training and Normalization for Unsupervised Domain Adaptation., , , , , , , and . ICCV, page 11619-11628. IEEE, (2023)BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule., , , , , , and . CoRR, (2021)Investigating Pre-trained Audio Encoders in the Low-Resource Condition., , , and . CoRR, (2023)