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Information-Theoretic Exploration with Successor Uncertainties
https://www.mlmi.eng.cam.ac.uk/files/2019-2020_dissertations/information_theoretic_exploration_with_successor_uncertainties.pdf11 Feb 2021: Inspired by behaviorist psychology, RL was created as an area of machinelearning with the purpose of mimicking the way humans learn. -
Mitigating Gender Bias in Dialogue Generation Gabrielle (Ming Yi) ...
https://www.mlmi.eng.cam.ac.uk/files/2020-2021_dissertations/mitigating_gender_bias_in_dialogue_generation.pdf15 Nov 2021: Mitigating Gender Bias in. Dialogue Generation. Gabrielle (Ming Yi) Lau. Department of Engineering. University of Cambridge. This dissertation is submitted for the degree of. Master of Philosophy in Machine Learning and Machine Intelligence. -
Distilling and Forgetting in Large Pre-Trained Models
https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/distilling_and_forgetting_in_pre-trained_models_public.pdf17 Nov 2023: Distilling and Forgetting in LargePre-Trained Models. Tony Wu. Supervisors: Prof. Mark Gales. Dr. Mengjie Qian. Adian Liusie. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in -
Causal Representation Learning for Latent Space Optimization
https://www.mlmi.eng.cam.ac.uk/files/2020-2021_dissertations/causal_representation_learning_for_latent_space_optimization.pdf15 Nov 2021: Causal Representation Learning forLatent Space Optimization. Wenlin Chen. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and Machine Intelligence. St -
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: Graph Representation Learning forChild Mental Health Prediction. Ryan Crowley. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and Machine Intelligence. -
Improving Machine Learning Systems by Eliciting and Incorporating…
https://www.mlmi.eng.cam.ac.uk/files/2021-2022_dissertations/improving_ml_systems_with_additional_human_knowledge_16.11.22.pdf25 Nov 2022: Improving Machine Learning Systemsby Eliciting and Incorporating. Additional Human Knowledge. Katherine M. Collins. Supervisors: Dr. Adrian Weller MBE. Umang Bhatt. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for -
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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