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11 - 20 of 27 search results for katalk:za33 24 |u:www.mlmi.eng.cam.ac.uk where 0 match all words and 27 match some words.

  1. Results that match 1 of 2 words

  2. Vision Encoders in Visual Question Answering

    https://www.mlmi.eng.cam.ac.uk/files/2021-2022_dissertations/vision_encoders_in_visual_question_answering.pdf
    9 Dec 2022: 23. 4.3.1 Prompt format. 23. 4.3.2 Building the prompt embedding. 24.

  3. Building a Conversational User Simulator using GANs

    https://www.mlmi.eng.cam.ac.uk/files/2021-2022_dissertations/building_a_conversational_user_simulator_using_gans.pdf
    25 Nov 2022: 62. 5.24 BLEU and ROUGE scores for different discriminators (combined loss withα = 0.3, β = 0.2).

  4. Deep Reinforcement Learning for 3D Molecular Design

    https://www.mlmi.eng.cam.ac.uk/files/2021-2022_dissertations/deep_reinforcement_learning_with_3d_molecular_design.pdf
    25 Nov 2022: Jimprv(θ) = EstD[αEatπθ (|st) [log πθ(at|st)] Eatπθ (|st) [Qϕ(st, at)]. ](2.24). ... 24 Infinite Atom Bags. Fig. 3.2 Dissociation curve for O2 superimposed with example construction penalties.

  5. Scalable Bayesian Inference for Probabilistic Spectrotemporal Models…

    https://www.mlmi.eng.cam.ac.uk/files/2021-2022_dissertations/scalable_bayesian_inference_for_probabilistic_spectrotemporal_models.pdf
    5 Dec 2022: 3.4 Description of single-supernova Pyro model. For a single supernova, there are 27 trainable parameters: µ , Av, θ , and 24 elements of theEs matrix. ... AV Exp(1/τ) (3.11)νi N(0,1), i = 1,.,24 (3.12). where τ = 0.194, a population mean AV that is

  6. Outlier Detection with Hierarchical VAEs and Hamiltonian Monte Carlo

    https://www.mlmi.eng.cam.ac.uk/files/2021-2022_dissertations/outlier_detection_with_hierarchical_vaes_and_hamiltonian_monte_carlo.pdf
    25 Nov 2022: 224.2 VAE Outlier Detection Mini Survey. 24. 4.2.1 Denouden et al. ... outlier detectionperformance becomes worse with HMC). 4.2 VAE Outlier Detection Mini Survey 24.

  7. 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.pdf
    6 Dec 2022: 23. 3.1.1 Fast Computation of the KL-Divergence. 24. 3.2 How it Fits into the Family.

  8. Non-Gaussian Lévy Processes in Machine Learning

    https://www.mlmi.eng.cam.ac.uk/files/2021-2022_dissertations/non-gaussian_levy_processes_in_machine_learning_reduced.pdf
    25 Nov 2022: 554.23 Average value of a filter. 564.24 Sample paths of a GIG subordinator. ... QGIG(x) =exγ. 2/2. x. [(0,). exy. π 2y|H|λ|(δ. 2y)|2dy max(0,λ ). ], for x > 0. 24 Simulation of Lévy processes. Notice that the GIG Lévy

  9. 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.pdf
    25 Nov 2022: 24 Self-supervision with correlated masks. meta-data. The provided label is a regression target for the number of comments on a sampleblog post in a 24 hour period (Buza, 2014),

  10. Graph Representation Learning for Child Mental Health Prediction

    https://www.mlmi.eng.cam.ac.uk/files/2021-2022_dissertations/graph_representation_learning_for_child_mental_health_prediction.pdf
    25 Nov 2022: Age # of Individuals Percent of Cohort4-7 1644 6.21. 8-11 7,926 16.9712-15 11,124 23.8216-19 11,455 24.5320-23 9,355

  11. Effectiveness of SSL Representations for Source Separation

    https://www.mlmi.eng.cam.ac.uk/files/2021-2022_dissertations/effectiveness_of_ssl_representations_for_source_separation_reduced.pdf
    25 Nov 2022: 203.2 Framework of T-F domain source separation using SSL representations. 24. ... It can becomputed by Equation 2.24. WER =I S D. N 100% (2.24).

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