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# Machine-Learning-Journal-Club
Discuss at weiss-ucl.slack.com
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#### 25th February 2020, 13:00 - 14:00
#### Topic: Weakly-supervised Learning
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#### G03 Seminar Room 1, Charles Bell House

#### Paper(s):
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Baumgartner, C.F., Kamnitsas, K., Matthew, J., Fletcher, T.P., Smith, S., Koch, L.M., Kainz, B. and Rueckert, D., 2017. SonoNet: real-time detection and localisation of fetal standard scan planes in freehand ultrasound. IEEE transactions on medical imaging, 36(11), pp.2204-2215.  
[paper link][paper_20200225_01] 
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#### Presenter(s): 
Francisco Vasconcelos


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[paper_20200225_01]: https://arxiv.org/pdf/1612.05601.pdf


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#### Future topics:
#### Attention mechanism 
#### Region proposal
#### Semi-supervised learning
#### Adversarial learning
#### Emsemble learning
#### Meta learning
#### Active Learning
#### Bayesian 
#### Multiple Instance Learning 
#### Multi-task
#### Deeplab 

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# Past:

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#### 11th Febrary 2020, 13:00 - 14:00
#### Topic: Self-supervised Learning
#### G03 Seminar Room 1, Charles Bell House

#### Paper(s):
Chen, L., Bentley, P., Mori, K., Misawa, K., Fujiwara, M. and Rueckert, D., 2019. Self-supervised learning for medical image analysis using image context restoration. Medical image analysis, 58, p.101539.  
[paper link][paper_20200211_01]  

Pathak, D., Krahenbuhl, P., Donahue, J., Darrell, T. and Efros, A.A., 2016. Context encoders: Feature learning by inpainting. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 2536-2544).  
[paper link][paper_20200211_02]  


#### Presenter(s): 
Fernando Perez Garcia

[paper_20200211_01]: https://www.sciencedirect.com/science/article/abs/pii/S1361841518304699
[paper_20200211_02]: https://arxiv.org/abs/1604.07379



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#### 28th January 2020, 13:00 - 14:00
#### Topic: Neural Network Architecture 
#### G10 Seminar Room 4, Charles Bell House

#### Paper(s):
He, K., Zhang, X., Ren, S. and Sun, J., 2016. Deep residual learning for image recognition. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 770-778).  
[paper_20200128_01]: https://arxiv.org/pdf/1512.03385

#### Presenter(s): 
Dimitris Psychogyios

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#### 14th January 2020, 13:00 - 14:00
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#### Topic: Video Motion Magnification 
#### G11 Seminar Room 4, Charles Bell House

#### Paper(s):
Oh, T.H., Jaroensri, R., Kim, C., Elgharib, M., Durand, F.E., Freeman, W.T. and Matusik, W., 2018. Learning-based video motion magnification. In Proceedings of the European Conference on Computer Vision (ECCV) (pp. 633-648).  
[paper link][paper_20200114_01]

[paper_20200114_01]: https://arxiv.org/pdf/1804.02684.pdf

#### Presenter(s): 
Mirek Janatka



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#### 10th December 2019, 13:00 - 14:00
#### Topic: Recurrent Neural Networks
#### G03 Seminar Room 1, Charles Bell House

#### Paper(s):
Jin Y, Dou Q, Chen H, Yu L, Qin J, Fu CW, Heng PA. SV-RCNet: workflow recognition from surgical videos using recurrent convolutional network. IEEE transactions on medical imaging. 2017 Dec 27;37(5):1114-2  
[paper link][paper_20191210_01]

[paper_20191210_01]: https://ieeexplore.ieee.org/abstract/document/8240734

#### Presenter(s): 
Sophia Bano



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#### 3rd December 2019, 13:00 - 14:00
#### Topic: Depth Estimation
#### G03 Seminar Room 1, Charles Bell House

#### Paper(s):
Lasinger, K., Ranftl, R., Schindler, K. and Koltun, V., 2019. Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer. arXiv preprint arXiv:1907.01341.   
[paper link][paper_20191203_01]

[paper_20191203_01]: https://arxiv.org/pdf/1907.01341.pdf

#### Presenter(s): 
Eddie Edwards



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#### 26th November 2019, 13:00 - 14:00
#### Topic: Spatial Transformation in Deep Neural Networks
#### G03 Seminar Room 1, Charles Bell House

#### Paper(s):
Jaderberg, M., Simonyan, K., & Zisserman, A. (2015). Spatial transformer networks. In Advances in neural information processing systems (pp. 2017-2025).  

[paper link][paper_20191126_01]

#### Presenter(s): 
Mark Pinnock

[paper_20191126_01]: https://papers.nips.cc/paper/5854-spatial-transformer-networks.pdf


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#### 19th November 2019, 13:00 - 14:00
#### Topic: Reinforcement Learning
#### G03 Seminar Room 1, Charles Bell House

#### Paper(s):
Kendall, A., Hawke, J., Janz, D., Mazur, P., Reda, D., Allen, J. M., ... & Shah, A. (2019, May). Learning to drive in a day. In 2019 International Conference on Robotics and Automation (ICRA) (pp. 8248-8254). IEEE.  
[paper link][paper_20191119_01] 

#### Presenter(s): 
Bongjin Koo


[paper_20191119_01]: https://arxiv.org/pdf/1807.00412.pdf



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### --- [cancelled] ---
#### 12th November 2019, 13:00 - 14:00
#### Topic: Reinforcement Learning
#### G03 Seminar Room 1, Charles Bell House, 

#### Paper(s):
To be determined

#### Presenter(s): 
Bongjin Koo


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#### 22nd October 2019, 13:00 - 14:00
#### Topic: Model Interpretability
#### G03 Seminar Room 1, Charles Bell House, 

#### Paper(s):
Clough, J.R., Oksuz, I., Puyol-Anton, E., Ruijsink, B., King, A.P. and Schnabel, J.A., 2019. Global and Local Interpretability for Cardiac MRI Classification. arXiv preprint arXiv:1906.06188. MICCAI 2019. [paper link][paper_22102019_01]


#### Presenter(s): 
Simone Foti

[paper_22102019_01]: https://arxiv.org/pdf/1906.06188.pdf

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#### 8th October 2019, 13:00 - 14:00
#### Topic: Domain Adaptation 
#### G03 Seminar Room 1, Charles Bell House, 

#### Paper(s):
Ganin, Y., Ustinova, E., Ajakan, H., Germain, P., Larochelle, H., Laviolette, F., Marchand, M. and Lempitsky, V., 2016. Domain-adversarial training of neural networks. The Journal of Machine Learning Research, 17(1), pp.2096-2030.  [paper link][paper_08102019_00]

Dou, Q., Ouyang, C., Chen, C., Chen, H. and Heng, P.A., 2018. Unsupervised cross-modality domain adaptation of convnets for biomedical image segmentations with adversarial loss. arXiv preprint arXiv:1804.10916.  [paper link][paper_08102019_01]


#### Presenter(s): 
Yipeng Hu

[paper_08102019_00]: http://jmlr.org/papers/volume17/15-239/15-239.pdf
[paper_08102019_01]: https://www.ijcai.org/proceedings/2018/0096.pdf