MLP 2018-19
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Machine Learning Practical (MLP) – IBM Prize 2017/18
IBM UK kindly donated a prize for the best projects in MLP.
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First Prize
Chau Luu, Julian Habekost, and Nico Ring, "Weight Sharing in Deep Reinforcement Learning for Continuous Control"
report | presentation
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Second Prize
Adeel Mufti, Biagio Antonelli, and Julius Monello, "Painting Generating using Conditional Generative Adversarial Nets"
report | presentation | demo
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Third Prize
Jie Chi and Yurui Huang, "Image Captioning with Neural Networks"
report | presentation
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Shortlisted
Antonios Valais, Ian Mauldin, and Dinesh Saravana Sundaram, "Evolutionary Algorithms for Hyperparameter Optimization"
report | presentation
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Shortlisted
Christopher Galazis, Mai Anh Nguyen, and Bogomil Gospodinov, "One-shot learning with Omniglot"
report | presentation
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Shortlisted
Bom Chavengsaksongkram, Lauren Watson, and Alonso Paramino-Galibay,
"Tumour Tissue Image Classification"
report | presentation
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Shortlisted
Luke Darlow, Steven Kleingesse, and Paul Micaelli, "Fingerprint Inpainting with Generative Models"
report | presentation
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Honourable Mention
Jennifer Williams, Ramona Comanescu, and Oana Radu, "Deep Learning Multimodal Fusion for Sentiment Analysis"
report
This project was presented at the ACL 2018 Grand Challenge and Workshop on Human Multimodal Language -- Jennifer Williams, Ramona Comanescu, Oana Radu, and Leimin Tian, ``DNN Multimodal Fusion Techniques for Predicting Video Sentiment''
Copyright (c) University of Edinburgh 2015-2018
The MLP course material is licensed under the
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License
licence.txt
The software at https://github.com/CSTR-Edinburgh/mlpractical is licensed under the Modified BSD License.
This page maintained by Steve Renals.
Last updated: 2018/11/27 18:53:20UTC