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Neural ProcessesGinte Petrulionyte Yuriko Kobe Jack Davis Neural…
https://www.mlmi.eng.cam.ac.uk/files/2020-2021_advanced_machine_learning_posters/neural_processes_2021.pdf25 Jan 2022: Neural ProcessesGinte Petrulionyte Yuriko Kobe Jack Davis. Neural networks (NNs) are effective function approximators, but do not captureuncertainty over their predictions and cannot easily be updated after training. Gaussian Processes (GPs) are -
Global Inducing Point Posterior Approximations for Federated Bayesian …
https://www.mlmi.eng.cam.ac.uk/files/2021-2022_dissertations/global_inducing_point_posterior_approximations_for_federated_bnns.pdf25 Nov 2022: Global Inducing Point PosteriorApproximations for FederatedBayesian Neural Networks. Maximiliaan Olivier Jean Bronckers. Supervisors: Prof. Richard TurnerMatthew Ashman. Department of EngineeringUniversity of Cambridge. This dissertation is -
Improving Machine Learning Systems by Eliciting and Incorporating…
https://www.mlmi.eng.cam.ac.uk/files/2021-2022_dissertations/improving_ml_systems_with_additional_human_knowledge_16.11.22.pdf25 Nov 2022: 24. 3.4 Training models over labels constructed from subsets of the human knowl-edge we elicit. -
Domain Generalisation for Robust Model-Based Offline Reinforcement…
https://www.mlmi.eng.cam.ac.uk/files/2021-2022_dissertations/domain_generalisation_for_robust_model_based_offline_rl_0.pdf1 Dec 2022: Domain Generalisation for RobustModel-Based Offline Reinforcement. LearningMLMI MPhil 2021-22. Alan Clark. Supervisor: Dr. David Krueger. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of -
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: Joint Learning of Practical DialogueSystems and User Simulators. Alistair John McLeay. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy. Hughes Hall College August 2022. Dedicated -
Understanding and Fixing the Modality Gap in Vision-Language Models
https://www.mlmi.eng.cam.ac.uk/files/2021-2022_dissertations/understanding_and_fixing_the_modality_gap_in_vision-language_models_reduced.pdf25 Nov 2022: 234.2.2 The effects of temperature. 24. 4.3 Reproducing the Modality Gap in Simulation Space. ... 24. 4.2 d vs alignment of text and image points. 254.3 Effect of temperature on alignment between image-text points and loss values. -
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: Interpretability for ConditionalAverage Treatment Effect. Estimation. Javier Abad Martínez. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and Machine
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