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Graph Neural Stochastic Differential Equations
https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/graph_neural_stochastic_differential_equations.pdf17 Nov 2023: 2.3.6 Comparison: Oversmoothing in GN-ODE vs. Standard GNN. 24. 3 Graph Neural Stochastic Differential Equations 26. ... 24. 3.1 The left image illustrates the political compass of voters while the rightimage presents their social circles, with colors -
1 Automatically Grading Learners’ English using a Deep Gaussian ...
https://www.mlmi.eng.cam.ac.uk/files/sebastian_popescu_8224831_assignsubmission_file_sgp34_sebastiangabrielpopescu.pdf30 Oct 2019: 24. 9 Conclusions. 28. References:. 29. 4. 1 Introduction 1.1 Motivation and Applications In the past decades, our world has steadily evolved into a highly globalized, inter-connected environment where -
BachBot: Automatic composition in thestyle of Bach chorales…
https://www.mlmi.eng.cam.ac.uk/files/feynman_liang_8224771_assignsubmission_file_liangfeynmanthesis.pdf30 Oct 2019: 24. 4.3 Distortion introduced by quantization to semiquavers. 254.4 Example encoding of a score containing two chords, both one quaver in dura-. ... Experiments in Music Intelligence (EMI) by Cope [24, 23] is one of the first rule-basedcomposition -
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 -
Adapting Pretrained Vision-Language Models in Medical Domains
https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/adapting_pretrained_vision-language_models.pdf28 Nov 2023: Adapting Pretrained Vision-LanguageModels in Medical Domains. Liangchen Li. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and Machine Intelligence. Clare -
Autoregressive Diffusion Neural Processes
https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/autoregressive_diffusion_neural_processes.pdf14 Nov 2023: Autoregressive DiffusionNeural Processes. Lorenzo Bonito. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and Machine Intelligence. St John’s College August -
acs-dissertation
https://www.mlmi.eng.cam.ac.uk/files/konstantinos_tsakalis_8224911_assignsubmission_file_dissertation_signed.pdf30 Oct 2019: them is slightly shifted. 24. A common way to solve this problem and produce intuitive distances is Dy-. -
Stochastic Memory for Sequence Models Making Good Compressors Use ...
https://www.mlmi.eng.cam.ac.uk/files/2021-2022_dissertations/stochastic_memory_for_sequence_models.pdf2 Mar 2023: Stochastic Memory for Sequence Models. Making Good Compressors Use Less Memory. David Michael Goldfarb. Supervisor: Dr. Christian Steinruecken. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster -
Controlling Hallucination while Generating Text from Structured Data…
https://www.mlmi.eng.cam.ac.uk/files/2020-2021_dissertations/controlling_hallucination_while_generating_text.pdf24 Jan 2022: 24. 2.3.1 Automatic metrics for measuring faithfulness. 24. 2.3.2 Semantic evaluation with neural models. ... 24. measured through a comparison of n-grams. For instance, BLEU (Bilingual. -
GPT-3 for Few-Shot Dialogue State Tracking
https://www.mlmi.eng.cam.ac.uk/files/2020-2021_dissertations/gpt_3_for_few_shot_dialogue_state_tracking.pdf15 Nov 2021: 23. 3.4 Experimental Setup. 243.4.1 Model Configuration. 243.4.2 Experiment Size. 24.
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