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1 - 10 of 24 search results for Economics test |u:www.mlmi.eng.cam.ac.uk where 2 match all words and 22 match some words.

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  2. Multilingual Models in Neural Machine Translation

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/multilingual_models_in_neural_machine_translation.pdf
    24 Nov 2023: processing. 29. 4.5 Examples of translation hypotheses from the test set of WMT’21 Chinese-English. ... In this project, we test the impact of using 2 to 32 demonstrationexamples.

  3. 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: This dataset provides agood setting to test the ability of LLMs to comprehend non-trivial information.

  4. Results that match 1 of 2 words

  5. Weight Uncertainty in Neural Networks

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_advanced_machine_learning_posters/weight_uncertainty_in_neural_networks_2.pdf
    14 Dec 2023: 50k/10k/10k data split, trained using SGD optimizer. Model # Units Test Error Test Error. ... Test error 1.58% 1.62% 1.75% 1.84%. Table 2. Classification error after weight pruning.

  6. 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.

  7. Weight Uncertainty in Neural Networks

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_advanced_machine_learning_posters/weight_uncertainty_in_neural_networks_1.pdf
    14 Dec 2023: Figure 3. Histogram of the trained weights. Figure 4. Test error as training progresses.

  8. 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: 335.3 Auxilliary Data. 345.4 Data Splitting. 35. 4. 5.4.1 Test Data. ... data.This allows us to test domain adaptation across a range of scenarios.

  9. 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: 424.3 Training and test set metrics and risk certificate estimates using the kl inver-. ... Expected error of a predictor Empirical error of predictor on any test dataset.

  10. Pre-training Meta-models for Interpretability

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/pre-training_meta-models_for_interpretability.pdf
    23 Nov 2023: Ki=1[(A(Xi,W ) =. Yi)]. This task is again estimated by replacing Eacc with the test set accuracy. ... Furthermore, regression is evaluated through R2 score on the test set, while we reporton test accuracies for classification tasks.

  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: 66. B.2 Training and Test Accuracy for Different Models and Training Percentages200 traning dataset. ... 68. B.3 Test accuracies of GN-ODE, GNN, and GN-SDE models across varying train-ing percentages and entropy thresholds.

  12. Adapting Pretrained Vision-Language Models in Medical Domains

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/adapting_pretrained_vision-language_models.pdf
    28 Nov 2023: the-art contrastive model BiomedCLIP [ZXU23]2, pretrained onthe largest PMC-15M dataset with ITC loss only, for a simple retrieval test. ... originalimages or subfigures of the images in PMC-VQA test samples appear in PMC-OA andre-pretrain PMC-CLIP on

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