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1 - 10 of 12 search results for KaKaoTalk:vb20 200 |u:www.mlmi.eng.cam.ac.uk where 0 match all words and 12 match some words.

  1. Results that match 1 of 2 words

  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. Data Compression with Variational Implicit Neural Representations

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/data_compression.pdf
    14 Nov 2023: Data Compression with VariationalImplicit Neural Representations. Jiajun He. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and Machine Intelligence.

  6. 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.

  7. 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

  8. Autoregressive Diffusion Neural Processes

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/autoregressive_diffusion_neural_processes.pdf
    14 Nov 2023: Autoregressive DiffusionNeural Processes. Lorenzo Bonito. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and Machine Intelligence. St John’s College August

  9. 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

  10. 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

  11. 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

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