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Poster Print Size:This poster template is 24” high by ...
https://www.mlmi.eng.cam.ac.uk/files/2020-2021_advanced_machine_learning_posters/importance_weighted_encoder.pdf21 Jan 2022: For best results, all graphic elements should be at least 150-200 pixels per inch in their final printed size. ... If you are laying out a large poster and using half-scale dimensions, be sure to preview your graphics at 200% to see them at their final -
Strengths/Weaknesses Synthetic 1-D Distributions Towards a Neural…
https://www.mlmi.eng.cam.ac.uk/files/2021-2022_advanced_machine_learning_posters/towards_a_neural_statistician_2022.pdf17 May 2022: Datasets consist of 200 samples from either an Exponential, Gaussian, Uniform orLaplacian distribution with equal probability. ... 200 coordinates sampled, 20-sample summaries. The model is: Unsupervised, data efficient, parameter efficient, capable of -
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 -
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. -
Better Encoders for Neural Process Family Models
https://www.mlmi.eng.cam.ac.uk/files/2021-2022_dissertations/better_encoders_for_neural_process_family_models.pdf6 Dec 2022: computation time. The number of epochs is scaled up 10 times to 200, with. -
Multimodal Coreference Resolution
https://www.mlmi.eng.cam.ac.uk/files/2021-2022_dissertations/multimodal_coreference_resolution_reduced.pdf25 Nov 2022: Multimodal Coreference Resolution. Alejandro Santorum Varela. Supervisors: Dr. Svetlana Stoyanchev. Prof. Kate Knill. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine -
Attention-based Sheaf Neural Networks
https://www.mlmi.eng.cam.ac.uk/files/2021-2022_dissertations/attention-based-sheaf-neural-networks.pdf25 Nov 2022: Attention-based Sheaf NeuralNetworks. Federico Barbero. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy. King’s College August 2022. Dedicated to my family. DECLARATION. I -
Autoregressive Conditional Neural Processes
https://www.mlmi.eng.cam.ac.uk/files/2021-2022_dissertations/autoregressive_conditional_neural_processes_reduced.pdf25 Nov 2022: Autoregressive. Conditional Neural Processes. Anthony Buonomo. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy. Queens’ College August 16, 2022. This work is dedicated to my -
Interpretability for Conditional Average Treatment Effect Estimation
https://www.mlmi.eng.cam.ac.uk/files/2020-2021_dissertations/interpretability_for_conditional_average_treatment_effect_estimation_-_javier_abad.pdf24 Jan 2022: Surgery PainkillersOld 25/40 = 62.5% 120/180 = 66.7%. Young 140/160 = 87.5% 18/20 = 90%Total 165/200 = 82.5% 138/200 = 69%. ... If we estimate the ˆATE: 165/200-138/200=13.5%, it erroneously draws that surgeryis more effective than painkillers. -
Vision Encoders in Visual Question Answering
https://www.mlmi.eng.cam.ac.uk/files/2021-2022_dissertations/vision_encoders_in_visual_question_answering.pdf9 Dec 2022: Vision Encoders in Visual QuestionAnswering. Ryan Anderson. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy. Magdalene College August 2022. Dedicated to my Mom, my brothers, and
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