Search
Search Funnelback University
- Refined by:
- Date: Past year
1 -
10 of
26
search results for katalk:za33 24 |u:www.mlmi.eng.cam.ac.uk
where 0
match all words and 26
match some words.
Results that match 1 of 2 words
-
Conditional Neural Processes and Semi-Supervised Learning
https://www.mlmi.eng.cam.ac.uk/files/2020-2021_dissertations/conditional_neural_processes_and_semi-supervised_learning_0.pdf15 Nov 2021: Conditional Neural Processes andSemi-Supervised Learning. Max-Olivier Van Bastelaer. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and Machine Intelligence. -
Building a Conversational User Simulator Using Generative Adversarial …
https://www.mlmi.eng.cam.ac.uk/files/2020-2021_dissertations/building_a_conversational_user_simulator.pdf15 Nov 2021: 244.3.1 Policy Training. 244.3.2 Policy Evaluation. 24. 5 Adversarial Training Experiments 265.1 MLE Pre-Training. -
Precise Positioning of a Drone using Spoken Language Commands ...
https://www.mlmi.eng.cam.ac.uk/files/2019-2020_dissertations/precise_positioning_of_a_drone_using_spoken_language_commands.pdf11 Feb 2021: 24. Candidate ID: G708 Precise Positioning of a Drone using Spoken Language Commands. -
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: Improving Deep Ensembles for BetterDeep Uncertainty Quantification. Ginte Petrulionyte. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and Machine -
Causal Representation Learning for Latent Space Optimization
https://www.mlmi.eng.cam.ac.uk/files/2020-2021_dissertations/causal_representation_learning_for_latent_space_optimization.pdf15 Nov 2021: Causal Representation Learning forLatent Space Optimization. Wenlin Chen. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and Machine Intelligence. St -
Practical bayesian optimization of machine learning algorithms…
https://www.mlmi.eng.cam.ac.uk/files/practical_bayesian_optimization.pdf1 Feb 2021: In: In Advances in Neural Information Processing Systems 24. 2010,pp. 1723–1731. -
A model-based design tool for 3D GUI layout design that accommodates…
https://www.mlmi.eng.cam.ac.uk/files/2020-2021_dissertations/a_model-based_design_tool.pdf15 Nov 2021: This ideais often traced back to the study by Hess and Polt [24] demonstrating correlation betweenpupil size and mental activity in the form of simple multiplication problems. -
Bootstrap Your Flow
https://www.mlmi.eng.cam.ac.uk/files/2020-2021_dissertations/bootstrap_your_flow_reduced.pdf15 Nov 2021: 3.1 Estimating α -divergence over the target vs proposal distribution. 24. ... 2.24). We provide a proof for why these importance weights are valid in Appendix A.1. -
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 -
Matching Networks for Individual Organ Transplantation Allocation
https://www.mlmi.eng.cam.ac.uk/files/2019-2020_dissertations/matching_networks_for_individual_organ_transplantation_allocation.pdf11 Feb 2021: models under different settings. 24. 5.4 Factual outcome precisions of SCCN and benchmarks trained on GMixBi-. ... the setting is naturally similar to the Neyman–Rubin causal model [24], described as follow.
Search history
Recently clicked results
Recently clicked results
Your click history is empty.
Recent searches
Recent searches
Your search history is empty.