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11 - 20 of 24 search results for katalk:za33 24 |u:www.mlmi.eng.cam.ac.uk where 0 match all words and 24 match some words.

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  2. Incorporating Vision Encoders into Retrieval Augmented Visual…

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/visual_question_answering_nikolic.pdf
    24 Nov 2023: Incorporating Vision Encoders intoRetrieval Augmented Visual Question. Answering. Kristina Nikolić. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and

  3. Improving Uncertainty Quantification in Regression Problems through…

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/improving_uncertainty_quantification_in_regression_problems.pdf
    23 Nov 2023: Improving UncertaintyQuantification in RegressionProblems through Conformal. Training. Johannes Vallikivi. MPhil in Machine Learning and Machine IntelligenceDepartment of Engineering. University of Cambridge. This dissertation is submitted for the

  4. Large Language Models for Reliable Information Extraction

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/large_language_models_for_reliable_information_extraction.pdf
    24 Nov 2023: Large Language Models for ReliableInformation Extraction. Lukas Baliunas. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and Machine Intelligence. Churchill

  5. 3D Pose Estimation and Topology Reconstruction Using Foundation…

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/3d_pose_estimation_and_topology_reconstruction.pdf
    14 Nov 2023: 213.3.2 Depth Shifting. 233.3.3 Rotation. 24. Table of contents ix. 3.3.4 Orchestrating the the tools and parts to Align. ... 24. 3.7 GPT-generated code to take median surface normals and output Blendercode that will rotate the CAD model to align the

  6. Function Constrained Program Synthesis

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/function_constrained_program_synthesis.pdf
    17 Nov 2023: 24. 3.4 Evaluation Framework. 25. viii Table of contents. 3.4.1 Evaluating Code Generations for Correctness. ... complex, compositional programs (Dziri et al. [24]). One reason for this limitation is their in-.

  7. Evaluating Benefits of Heterogeneity in Constrained Multi-Agent…

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/evaluating_benefits_of_heterogeneity.pdf
    14 Dec 2023: 22. 3.3 General Problem Formulation. 233.4 Training Pipeline. 24. 4 Environment Conditions and Diversity 274.1 Introducing the Left-Right Scenario.

  8. Sim2Real With Neural Processes Jonas Scholz Department of Engineering …

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/sim2real_with_neural_processes.pdf
    24 Nov 2023: They are lightweight,consisting of only 2 parameters per feature map. 16, 19, 21, 22, 24, 26–28, 38,41, 42, 56. ... set.3I.e. we covered learning rates of 1105, 3105, 1104,. 24. CHAPTER 4.

  9. Pre-training Meta-models for Interpretability

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/pre-training_meta-models_for_interpretability.pdf
    23 Nov 2023: 24. Table of contents vii. 3.4.1 Task definition. 243.4.2 Model Zoo Generation.

  10. Adapting Pretrained Vision-Language Models in Medical Domains

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/adapting_pretrained_vision-language_models.pdf
    28 Nov 2023: Adapting Pretrained Vision-LanguageModels in Medical Domains. Liangchen Li. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and Machine Intelligence. Clare

  11. Evaluating the Capabilities of Large Language Models for Spatial and…

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/evaluating_the_capabilities_of_large_language_models.pdf
    17 Nov 2023: 24. 4.4 Outlines for different continents, countries, lakes, and rivers produced us-ing coordinates predicted by GPT-4.

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