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61 - 80 of 83 search results for KaKaoTalk:vb20 200 |u:www.mlmi.eng.cam.ac.uk where 0 match all words and 83 match some words.

  1. Results that match 1 of 2 words

  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. Better Encoders for Neural Process Family Models

    https://www.mlmi.eng.cam.ac.uk/files/2021-2022_dissertations/better_encoders_for_neural_process_family_models.pdf
    6 Dec 2022: computation time. The number of epochs is scaled up 10 times to 200, with.

  4. Stochastic Memory for Sequence Models Making Good Compressors Use ...

    https://www.mlmi.eng.cam.ac.uk/files/2021-2022_dissertations/stochastic_memory_for_sequence_models.pdf
    2 Mar 2023: Stochastic Memory for Sequence Models. Making Good Compressors Use Less Memory. David Michael Goldfarb. Supervisor: Dr. Christian Steinruecken. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster

  5. Multimodal Coreference Resolution

    https://www.mlmi.eng.cam.ac.uk/files/2021-2022_dissertations/multimodal_coreference_resolution_reduced.pdf
    25 Nov 2022: Multimodal Coreference Resolution. Alejandro Santorum Varela. Supervisors: Dr. Svetlana Stoyanchev. Prof. Kate Knill. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine

  6. Attention-based Sheaf Neural Networks

    https://www.mlmi.eng.cam.ac.uk/files/2021-2022_dissertations/attention-based-sheaf-neural-networks.pdf
    25 Nov 2022: Attention-based Sheaf NeuralNetworks. Federico Barbero. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy. King’s College August 2022. Dedicated to my family. DECLARATION. I

  7. Flow Field and Shape Inference in Magnetic Resonance Velocimetry…

    https://www.mlmi.eng.cam.ac.uk/files/2020-2021_dissertations/flow_field_and_shape_inference_reduced.pdf
    15 Nov 2021: Flow Field and Shape Inference inMagnetic Resonance Velocimetry Using. Physics-Informed Neural Networks. Rami Cassia. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine

  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. Autoregressive Conditional Neural Processes

    https://www.mlmi.eng.cam.ac.uk/files/2021-2022_dissertations/autoregressive_conditional_neural_processes_reduced.pdf
    25 Nov 2022: Autoregressive. Conditional Neural Processes. Anthony Buonomo. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy. Queens’ College August 16, 2022. This work is dedicated to my

  10. Extending Deep GPs: Novel Variational Inference Schemes and a GPU…

    https://www.mlmi.eng.cam.ac.uk/files/maximilian_chamberlin_8224701_assignsubmission_file_mc.pdf
    30 Oct 2019: Extending Deep GPs: Novel VariationalInference Schemes and a GPU. Implementation. Maximilian Ekanem ChamberlinDepartment of Engineering. M.Phil in Machine Learning, Speech and Language Technology. This dissertation is submitted for the degree of.

  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

  12. 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.pdf
    15 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

  13. 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.

  14. 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.pdf
    24 Jan 2022: Surgery PainkillersOld 25/40 = 62.5% 120/180 = 66.7%. Young 140/160 = 87.5% 18/20 = 90%Total 165/200 = 82.5% 138/200 = 69%. ... If we estimate the ˆATE: 165/200-138/200=13.5%, it erroneously draws that surgeryis more effective than painkillers.

  15. Vision Encoders in Visual Question Answering

    https://www.mlmi.eng.cam.ac.uk/files/2021-2022_dissertations/vision_encoders_in_visual_question_answering.pdf
    9 Dec 2022: Vision Encoders in Visual QuestionAnswering. Ryan Anderson. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy. Magdalene College August 2022. Dedicated to my Mom, my brothers, and

  16. Controlling Hallucination while Generating Text from Structured Data…

    https://www.mlmi.eng.cam.ac.uk/files/2020-2021_dissertations/controlling_hallucination_while_generating_text.pdf
    24 Jan 2022: 200) examples (Z. Chen, Eavani, W. Chen,et al., 2020). 10. 2.1.3 Transformers & Attention.

  17. Deep Reinforcement Learning for 3D Molecular Design

    https://www.mlmi.eng.cam.ac.uk/files/2021-2022_dissertations/deep_reinforcement_learning_with_3d_molecular_design.pdf
    25 Nov 2022: Deep Reinforcement Learningfor 3D Molecular Design. Adrian Salovaara Black. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and Machine Intelligence. Homerton

  18. Islam Riashat MPhil MLSALT Dissertation

    https://www.mlmi.eng.cam.ac.uk/files/riashat_islam_8224811_assignsubmission_file_islam_riashat_mphil_mlsalt_dissertation.pdf
    30 Oct 2019: Active Learning for High DimensionalInputs using Bayesian Convolutional. Neural Networks. Riashat Islam. Department of Engineering. University of CambridgeM.Phil in Machine Learning, Speech and Language Technology. This dissertation is submitted for

  19. Domain Generalisation for Robust Model-Based Offline Reinforcement…

    https://www.mlmi.eng.cam.ac.uk/files/2021-2022_dissertations/domain_generalisation_for_robust_model_based_offline_rl_0.pdf
    1 Dec 2022: Domain Generalisation for RobustModel-Based Offline Reinforcement. LearningMLMI MPhil 2021-22. Alan Clark. Supervisor: Dr. David Krueger. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of

  20. 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

  21. Global Inducing Point Posterior Approximations for Federated Bayesian …

    https://www.mlmi.eng.cam.ac.uk/files/2021-2022_dissertations/global_inducing_point_posterior_approximations_for_federated_bnns.pdf
    25 Nov 2022: Global Inducing Point PosteriorApproximations for FederatedBayesian Neural Networks. Maximiliaan Olivier Jean Bronckers. Supervisors: Prof. Richard TurnerMatthew Ashman. Department of EngineeringUniversity of Cambridge. This dissertation is

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