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11 - 20 of 141 search results for KaKaoTalk:PC53 24 / |u:www.mlmi.eng.cam.ac.uk where 0 match all words and 141 match some words.

  1. Results that match 1 of 2 words

  2. Neural Network Compression

    https://www.mlmi.eng.cam.ac.uk/files/okz21_thesisfinal.pdf
    6 Nov 2019: 213.2 Independent Compression. 24. 4.1 Experimental Setup. 254.2 Image Examples from the MNIST Database. ... soft-weight sharing[24], and modifies it with the aim of further improving compression.

  3. Better Batch Optimizer

    https://www.mlmi.eng.cam.ac.uk/files/dissertation.pdf
    18 Nov 2019:  (2.24)where 0 = 01T1 is the zero matrix and > 0 = > 0T1T1 is the non zero matrix.To solve these numerical problems, we have rearranged the positions of zero elements ... 24 Algorithm Design. Algorithm 1 Probabilistic Line Search1: Input:

  4. 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-.

  5. thesis

    https://www.mlmi.eng.cam.ac.uk/files/james_requeima_8224681_assignsubmission_file_requeimajamesthesis.pdf
    30 Oct 2019: D, xı. )È6. (2.24). We will discuss the derivation and computation of the PES acquisition function in Chap-ter 3. ... n. (x), vn. (x)) where. µ. n. (x) = „(x)( ‡2I)1y (3.24)v.

  6. 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: 24. 3.3 Flow at 100 Reynolds Number. 31. 3.3.1 Flow at 100 Reynolds Number: Assumptions. ... 41. 3.25 Absolute discrepancy between the reconstruction and ground truth z-velocityfields from Figure 3.24.

  7. 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: 24. 5.1 Replication of RAG results for Task II. 385.2 Shared Task Evaluation for generator-only Chat Completion versions.

  8. 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: 24 Parametrised Teacher. The gradient for policy updates is given by.

  9. Interpretable Policy Learning

    https://www.mlmi.eng.cam.ac.uk/files/2019-2020_dissertations/interpretable_policy_learning.pdf
    11 Feb 2021: Interpretable Policy Learning. Alex J. Chan. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and Machine Intelligence. Wolfson College August 2020. This

  10. 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

  11. Sparse Circular Gaussian Process Approximation

    https://www.mlmi.eng.cam.ac.uk/files/william_tebbutt_8224741_assignsubmission_file_merged_document1.pdf
    30 Oct 2019: T#. ]Ep(f | y) [f#] Ep(f | y). [f T#. ] K#,# Q#,# R#,# (1.24).

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