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41 - 50 of 164 search results for Economics test |u:www.mlmi.eng.cam.ac.uk where 13 match all words and 151 match some words.

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  2. Bayesian Deep Generative Models for Semi-Supervised and Active…

    https://www.mlmi.eng.cam.ac.uk/files/gordon_dissertation.pdf
    30 Oct 2019: A similar pipeline is followed for new test data. The second (M2) approach proposed extending the VAE model to include labels, asdepicted in Figure 3.1.

  3. Data Compression with Variational Implicit Neural Representations

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/data_compression.pdf
    14 Nov 2023: COIN a single INR for each test datum uniform quantization to 16 bits image. ... In the following content,we will refer to the new datum as test datum.

  4. 3D Human Motion Synthesis with Recurrent Gaussian Processes

    https://www.mlmi.eng.cam.ac.uk/files/mphil_thesis_yeziwei_wang.pdf
    6 Nov 2019: 36. 4.5 Skeleton Hierarchical Structure. 37. 4.6 (a) is the original test walking sequence. ... amc file. These local representations are used to train and test various modelarchitectures of RGPs.

  5. AML Poster (A1 841 × 594mm)

    https://www.mlmi.eng.cam.ac.uk/files/2021-2022_advanced_machine_learning_posters/few-shot_learning_with_novel_metrics_1_2022.pdf
    17 May 2022: 2017) are 5-shot 60-way train, 20-way test with 15 query points for each.

  6. thesis_1

    https://www.mlmi.eng.cam.ac.uk/files/mlsalt_thesis_yixuan_su.pdf
    6 Nov 2019: 444.3 T-SNE visualization of training z. 444.4 T-SNE visualization of test Ho. ... 444.5 T-SNE visualization of test z. 44. List of tables. 4.1 SemEval-2010 Task 8 dataset statistic.

  7. The University of Cambridge, Advanced Machine Learning Conditional…

    https://www.mlmi.eng.cam.ac.uk/files/conditional_neural_processes.pdf
    1 Feb 2021: Pixel-wise image regression on MNISTFor this task we test the CNPs on the MNIST dataset. ... Music Completion on MIDIWe test CNP architecture on the MAESTRO dataset [2], containing 200hof piano music.

  8. Manifold Hamiltonian Dynamics for Variational Auto-Encoders

    https://www.mlmi.eng.cam.ac.uk/files/thesis_yuanzhao_zhang.pdf
    6 Nov 2019: We augment the inference networks (both fully-connected and convolutional networks) invanilla Variational Auto-Encoders (VAE) with HVI and test the model on different datasetsto prove the effectiveness of combining variational ... To test the performance

  9. Model Uncertainty for Adversarial Examples using Dropouts

    https://www.mlmi.eng.cam.ac.uk/files/ambrish_rawat_8224901_assignsubmission_file_rawat_ambrish_thesis1.pdf
    30 Oct 2019: all-std) and an ‘mc’approximation - with dropouts at test time (ip-mc,all-mc). ... Neural Networks with dropout-approximation at test time were not found to be ro-bust to adversarial images.

  10. Neural Program Lattices

    https://www.mlmi.eng.cam.ac.uk/files/rampersad_dissertation.pdf
    30 Oct 2019: At test time a zero-one loss is used, meaning sequences of operations need be entirelycorrect to receive zero loss. ... in [7], without any strong supervision. Despitethe new marginal objective function - and decrease in training loss - it is found that

  11. Investigating Inference in BayesianNeural Networks via Active…

    https://www.mlmi.eng.cam.ac.uk/files/riccardo_barbano_dissertation_mlmi.pdf
    18 Nov 2019: 39. 6 Average and std. test predictive log-likelihood (LL), test error, and testexpected calibration error (ECE) (with M = 10 bins). ... We test NeuralLinear architectures on Fashion MNIST and SVHN datasets. We averageover 5 different runs.

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