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1 - 10 of 10 search results for KaKaoTalk:vb20 200 |u:www.mlmi.eng.cam.ac.uk where 0 match all words and 10 match some words.

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  2. InfoGAN and beyond

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_advanced_machine_learning_posters/infogan_and_beyond.pdf
    14 Dec 2023: Stability Analysis and Mutual Information. 0 100 200 300 400 500 600 700Iteration. ... networks in our Info-WGAN for MNIST. 0 200 400 600 800 1000Iteration.

  3. 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: of arollout for different neural constraints over 200 rollouts with 300 environ-ments each. ... 59. 5.10 Mean reward over 200 rollouts across 300 steps per rollout.

  4. 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: For example, if we’re considering 2-dimensional space,dx = 2 and feature-map resolution a = 200, and b = 64 CNN channels, each featuremap consists of 200200 values, and h(i)

  5. Optimal PAC-Bayes Bounds and their Variational Approximations

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/optimal_pac-bayes_bounds.pdf
    24 Nov 2023: Optimal PAC-Bayes Bounds and theirVariational Approximations. Szilvia Ujváry. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and Machine Intelligence.

  6. Establishing a Unified Framework for Iterative Machine Teaching

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/framework_for_iterative_machine_teaching.pdf
    17 Nov 2023: Establishing a Unified Framework forIterative Machine Teaching. Muqing Xue. Department of Engineering. University of Cambridge. This thesis is submitted for the degree of. Master of Philosophy in Machine Learning and Machine Intelligence. Downing

  7. 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

  8. Utilizing Large Language Models for Question Answering in…

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/large_language_models_for_question_answering.pdf
    23 Nov 2023: Utilizing Large Language Models forQuestion Answering in Task-Oriented. Dialogues. Abigail Sticha. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and Machine

  9. Graph Neural Stochastic Differential Equations

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/graph_neural_stochastic_differential_equations.pdf
    17 Nov 2023: Graph Neural Stochastic DifferentialEquations. Richard Bergna. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and Machine Intelligence. Clare Hall August

  10. Eliciting Latent Knowledge from Language Reward Models

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/eliciting_latent_knowledge_from_language_reward_models_0.pdf
    17 Nov 2023: Eliciting Latent Knowledge fromLanguage Reward Models. Augustas Macijauskas. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and Machine Intelligence.

  11. 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

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