Search

Search Funnelback University

Search powered by Funnelback
10 results 20 results 50 results
Relevance Date (Newest first) Date (Oldest first) Title (A-Z) Title (Z-A) Distance URL (A-Z) URL (Z-A) Shuffle
1 - 10 of 38 search results for KaKaoTalk:vb20 200 |u:www.mlmi.eng.cam.ac.uk where 0 match all words and 38 match some words.

  1. Results that match 1 of 2 words

  2. Compression without Quantization Gergely Flamich Department of…

    https://www.mlmi.eng.cam.ac.uk/files/compression_without_quantization_flamich_reduced.pdf
    18 Nov 2019: However, if we used different sized images during training, it would be less justi-fied to set the same average code budget for, say, a 200 300 pixel image and a

  3. One-shot Learning in DiscriminativeNeural Networks Jordan Burgess…

    https://www.mlmi.eng.cam.ac.uk/files/jordan_burgess_8224871_assignsubmission_file_burgess_jordan_thesis1.pdf
    30 Oct 2019: One-shot Learning in DiscriminativeNeural Networks. Jordan Burgess. Queens’ College. A dissertation submitted to the University of Cambridgein partial fulfilment of the requirements for the degree ofMaster of Philosophy in Machine Learning, Speech

  4. Probabilistic Programming in JuliaNew Inference Algorithms Kai Xu…

    https://www.mlmi.eng.cam.ac.uk/files/kai_xu_8224821_assignsubmission_file_xu_kai_dissertation.pdf
    30 Oct 2019: Probabilistic Programming in JuliaNew Inference Algorithms. Kai Xu. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy. Homerton College August 2016. Declaration. I Kai Xu of

  5. BachBot: Automatic composition in thestyle of Bach chorales…

    https://www.mlmi.eng.cam.ac.uk/files/feynman_liang_8224771_assignsubmission_file_liangfeynmanthesis.pdf
    30 Oct 2019: BachBot: Automatic composition in thestyle of Bach chorales. Developing, analyzing, and evaluating a deep LSTM modelfor musical style. Feynman Liang. Department of EngineeringUniversity of Cambridge. M.Phil in Machine Learning, Speech, and Language

  6. Sample efficient deep reinforcement learning for dialogue systems…

    https://www.mlmi.eng.cam.ac.uk/files/weisz_dissertation.pdf
    30 Oct 2019: Sample efficient deep reinforcementlearning for dialogue systems with large. action spaces. Gellért Weisz. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy. Churchill College 10

  7. Auto-Encoding Variational Bayes

    https://www.mlmi.eng.cam.ac.uk/files/e520t_auto_encoding_variational_bayes.pdf
    6 Nov 2019: We observe thatincreasing the number of latent variables from 20 to 200 does not lead to overfitting. ... 105 106 107 108150. 140. 130. 120. 110. 100. 90MNIST, Nz = 200.

  8. MergedFile

    https://www.mlmi.eng.cam.ac.uk/files/de_jong_thesis.pdf
    6 Nov 2019: Compressing neural networks. Sjoerd Roelof de JongFitzwilliam College. A dissertation submitted to the University of Cambridgein partial fulfilment of the requirements for the degree of. Master of Philosophy in Machine Learning, Speech, and

  9. Hierarchical Dialogue Management

    https://www.mlmi.eng.cam.ac.uk/files/gordaniello_dissertation.pdf
    30 Oct 2019: Hierarchical Dialogue Management. Francesca Giordaniello. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy. Pembroke College 11 August 2017. Declaration. I, Francesca Giordaniello

  10. Structured Priors for Policy Optimisation

    https://www.mlmi.eng.cam.ac.uk/files/structured-priors-policy_wang.pdf
    30 Oct 2019: 0. 50. 100. 150. 200. 250. 300. Reward. Learning Curve for Swimmer.

  11. Fact Checking Fake News

    https://www.mlmi.eng.cam.ac.uk/files/2019_06_17_poster_industry_presentation_bart_melman.pdf
    15 Nov 2019: quick. Fever Challenge. DataCorpus 6 million Wikipedia pagesTraining Set 200 thousand claims.

Refine your results

clear all

Date

Search history

Recently clicked results

Recently clicked results

Your click history is empty.

Recent searches

Recent searches

Your search history is empty.