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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.pdf24 Nov 2023: This dataset provides agood setting to test the ability of LLMs to comprehend non-trivial information. -
Joint Learning of Practical Dialogue Systems and User Simulators
https://www.mlmi.eng.cam.ac.uk/files/2021-2022_dissertations/joint_learning_of_practical_dialogue_systems_and_user_simulators_reduced.pdf6 Dec 2022: US User Simulator. 3, 6. Chapter 1. Introduction. 1.1 Motivation. Language is a fundamentally important part of human intelligence, and is at the heart of many ofthe most important economic ... The full dataset contains approximately 10,400 dialogues, -
Mitigating Gender Bias in Dialogue Generation Gabrielle (Ming Yi) ...
https://www.mlmi.eng.cam.ac.uk/files/2020-2021_dissertations/mitigating_gender_bias_in_dialogue_generation.pdf15 Nov 2021: author noted that they cannot test the effectiveness of this method for gender bias because. Results that match 1 of 2 words
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Assessment | MPhil in Machine Learning and Machine Intelligence
https://www.mlmi.eng.cam.ac.uk/course-structure/assessment2 Jul 2024: These include unseen written tests, take-home tests, reports, practical write-ups, presentations, essays, demonstrations, or other exercises. -
Frequently Asked Questions | MPhil in Machine Learning and Machine…
https://www.mlmi.eng.cam.ac.uk/frequently-asked-questions2 Jul 2024: Q. Is a TOEFL test score sufficient for this programme or does each applicant need an IELTS test score? -
Academic Background | MPhil in Machine Learning and Machine…
https://www.mlmi.eng.cam.ac.uk/how-apply/academic-background2 Jul 2024: A mathematically focussed Economics degree can sometimes be suitable preparation. Students will be expected to have strong backgrounds in mathematics and computer programming, as well as practical skills for large-scale -
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.pdf14 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. -
Well-Calibrated Bayesian NeuralNetworks On the empirical assessment…
https://www.mlmi.eng.cam.ac.uk/files/jheek_thesis.pdf6 Nov 2019: Otherwise it would be trivial to construct a failing calibration test forany model. ... Calibration tests could help alleviate thisissue which is otherwise inevitable for popular benchmarks. -
Doubly Stochastic Variational Inference for Deep Gaussian Processes
https://www.mlmi.eng.cam.ac.uk/files/doubly_stochastic_variational_inference_for_deep_gaussian_process.pdf7 Jul 2020: Nn=1 p(yn|fn) where inference over. test locations x is. f(x)|y GP (kff (Kff σ2yI)1y,Kff kff (Kff σ2yI)1kff. ... Regression. Figure: Regression test log-likelihood results on benchmark UCI datasets. The plots show the mean standarddeviation over 20 -
3D Human Motion Synthesis with Recurrent Gaussian Processes
https://www.mlmi.eng.cam.ac.uk/files/3d_human_motion_synthesis_with_recurrent_gaussian_processes_yeziwei_wang.pdf6 Nov 2019: For prediction, the initial 20 frames of the test sequence are fed to the trained model for motion generation. ... 4 Different motions will be explored to test howwell the model generalises.
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