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InfoGAN and beyond
https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_advanced_machine_learning_posters/infogan_and_beyond.pdf14 Dec 2023: Stability Analysis and Mutual Information. 0 100 200 300 400 500 600 700Iteration. ... networks in our Info-WGAN for MNIST. 0 200 400 600 800 1000Iteration. -
Evaluating Benefits of Heterogeneity in Constrained Multi-Agent…
https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/evaluating_benefits_of_heterogeneity.pdf14 Dec 2023: of arollout for different neural constraints over 200 rollouts with 300 environ-ments each. ... 59. 5.10 Mean reward over 200 rollouts across 300 steps per rollout. -
Sim2Real With Neural Processes Jonas Scholz Department of Engineering …
https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/sim2real_with_neural_processes.pdf24 Nov 2023: For example, if we’re considering 2-dimensional space,dx = 2 and feature-map resolution a = 200, and b = 64 CNN channels, each featuremap consists of 200200 values, and h(i) -
Data Compression with Variational Implicit Neural Representations
https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/data_compression.pdf14 Nov 2023: Data Compression with VariationalImplicit Neural Representations. Jiajun He. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and Machine Intelligence. -
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. -
Establishing a Unified Framework for Iterative Machine Teaching
https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/framework_for_iterative_machine_teaching.pdf17 Nov 2023: Establishing a Unified Framework forIterative Machine Teaching. Muqing Xue. Department of Engineering. University of Cambridge. This thesis is submitted for the degree of. Master of Philosophy in Machine Learning and Machine Intelligence. Downing -
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 -
Incorporating Vision Encoders into Retrieval Augmented Visual…
https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/visual_question_answering_nikolic.pdf24 Nov 2023: Incorporating Vision Encoders intoRetrieval Augmented Visual Question. Answering. Kristina Nikolić. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and -
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 -
Utilizing Large Language Models for Question Answering in…
https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/large_language_models_for_question_answering.pdf23 Nov 2023: Utilizing Large Language Models forQuestion Answering in Task-Oriented. Dialogues. Abigail Sticha. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and Machine -
Graph Neural Stochastic Differential Equations
https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/graph_neural_stochastic_differential_equations.pdf17 Nov 2023: Graph Neural Stochastic DifferentialEquations. Richard Bergna. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and Machine Intelligence. Clare Hall August -
Eliciting Latent Knowledge from Language Reward Models
https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/eliciting_latent_knowledge_from_language_reward_models_0.pdf17 Nov 2023: Eliciting Latent Knowledge fromLanguage Reward Models. Augustas Macijauskas. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and Machine Intelligence. -
Large Language Models for Reliable Information Extraction
https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/large_language_models_for_reliable_information_extraction.pdf24 Nov 2023: Large Language Models for ReliableInformation Extraction. Lukas Baliunas. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and Machine Intelligence. Churchill
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