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Beyond independent masking in tabular self-supervision
https://www.mlmi.eng.cam.ac.uk/files/2021-2022_dissertations/beyond_independent_masking_in_tabular_self-supervision.pdf25 Nov 2022: This lead to a training time of 200 epochs. We set the corruptionparameter p = 0.3, as opposed to the default of value of 0.5 used elsewhere, due to the -
Multimodal Emotion Recognition
https://www.mlmi.eng.cam.ac.uk/files/2019-2020_dissertations/multimodal_emotion_recognition.pdf11 Feb 2021: During training,the newbob learning rate scheduler with an initial learning rate of 5 105 was used, andbatch size was set to 200. -
Optimal PAC-Bayes Bounds and their Variational Approximations
https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/optimal_pac-bayes_bounds.pdf24 Nov 2023: Optimal PAC-Bayes Bounds and theirVariational Approximations. Szilvia Ujváry. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and Machine Intelligence. -
MPhil in Machine Learning and Machine IntelligenceCambridge…
https://www.mlmi.eng.cam.ac.uk/files/2020-2021_dissertations/continuity_of_autoencoders.pdf21 Jan 2022: MPhil in Machine Learning and Machine IntelligenceCambridge University Department of Engineering. Continuity of autoencoders, unsupervised anomalydetection and Deep Atlases. Dissertation submitted by. Charles A. ArnalHomerton College. August 2021. -
A Policy Agnostic Framework for Post Hoc Analysis of Organ Allocation …
https://www.mlmi.eng.cam.ac.uk/files/2020-2021_dissertations/framework_for_analysis_of_organ_allocation_policies.pdf15 Nov 2021: A Policy Agnostic Framework for PostHoc Analysis of Organ Allocation. Policies. Agathe de Vulpian. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy. in Machine Learning and -
One-shot Learning in DiscriminativeNeural Networks Jordan Burgess…
https://www.mlmi.eng.cam.ac.uk/files/jordan_burgess_8224871_assignsubmission_file_burgess_jordan_thesis1.pdf30 Oct 2019: One-shot Learning in DiscriminativeNeural Networks. Jordan Burgess. Queens’ College. A dissertation submitted to the University of Cambridgein partial fulfilment of the requirements for the degree ofMaster of Philosophy in Machine Learning, Speech -
Probabilistic Programming in JuliaNew Inference Algorithms Kai Xu…
https://www.mlmi.eng.cam.ac.uk/files/kai_xu_8224821_assignsubmission_file_xu_kai_dissertation.pdf30 Oct 2019: Probabilistic Programming in JuliaNew Inference Algorithms. Kai Xu. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy. Homerton College August 2016. Declaration. I Kai Xu of -
Improved Ergodic Inference via Kernelised Stein Discrepancy
https://www.mlmi.eng.cam.ac.uk/files/2019-2020_dissertations/improved_ergodic_inference_via_kernelised_stein_discrepancy.pdf11 Feb 2021: Improved Ergodic Inference via. Kernelised Stein Discrepancy. Wenlong Chen. Darwin College. This dissertation is submitted on August 19, 2020 for the degree of Master of. Philosophy in Machine Learning and Machine Intelligence. Declaration. I, -
Compression without Quantization Gergely Flamich Department of…
https://www.mlmi.eng.cam.ac.uk/files/compression_without_quantization_flamich_reduced.pdf18 Nov 2019: However, if we used different sized images during training, it would be less justi-fied to set the same average code budget for, say, a 200 300 pixel image and a -
Improving Deep Ensembles for Better Deep Uncertainty Quantification
https://www.mlmi.eng.cam.ac.uk/files/2020-2021_dissertations/improving_deep_ensembles.pdf15 Nov 2021: We briefly trialled a custom architecture – a multi-layer perceptron consisting of threehidden layers with ReLU activations, 200 units each and batch normalisation after every fully-connected layer.
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