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Graph Representation Learning for Child Mental Health Prediction
https://www.mlmi.eng.cam.ac.uk/files/2021-2022_dissertations/graph_representation_learning_for_child_mental_health_prediction.pdf25 Nov 2022: To the best of my knowledge, no one has utilized the SAIL databaseto predict mental health disorders in children, so this research could provide incrediblyimportant insights relevant to child psychiatry. ... The CINW and CRCS datasets provide -
Interpretability for Conditional Average Treatment Effect Estimation
https://www.mlmi.eng.cam.ac.uk/files/2020-2021_dissertations/interpretability_for_conditional_average_treatment_effect_estimation_-_javier_abad.pdf24 Jan 2022: We present use-cases to provide practitioners with specific guidelines on using theframework, for example, by identifying which covariates determine the increase in cognitivetest scores for premature children that join a -
Understanding and Fixing the Modality Gap in Vision-Language Models
https://www.mlmi.eng.cam.ac.uk/files/2021-2022_dissertations/understanding_and_fixing_the_modality_gap_in_vision-language_models_reduced.pdf25 Nov 2022: Understanding and Fixing the ModalityGap in Vision-Language Models. Vishaal Udandarao. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and Machine Intelligence
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