... | ... | @@ -32,9 +32,8 @@ https://arxiv.org/abs/1906.02691<br> |
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### 15 June 2020 - Generative Adversarial Networks (and VAE)
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Venue: if possible f2f JSC meetingroom 2, building 16.3; room 315 <br>
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alternatively online: https://webconf.fz-juelich.de/b/wen-mym-pj7
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Venue: JSC meetingroom 2, building 16.3; room 315 <br>
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online: https://webconf.fz-juelich.de/b/wen-mym-pj7
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* Original GAN paper:<br>
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Generative Adversarial Networks<br>
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... | ... | @@ -51,7 +50,7 @@ https://openreview.net/forum?id=rylSzl-R- |
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### 17 August 2020 - Attention Networks
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Venue: if possible f2f JSC meetingroom 2, building 16.3; room 315 <br>
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Venue: if possible f2f INM seminar room, bldg. 15.9, room 4001b <br>
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alternatively online: https://webconf.fz-juelich.de/b/wen-mym-pj7
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... | ... | @@ -64,7 +63,7 @@ https://arxiv.org/abs/1805.08318 |
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### 21 September 2020 Self-Supervised Visual Representation Learning
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Venue: if possible f2f JSC meetingroom 2, building 16.3; room 315 <br>
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Venue: if possible f2f INM seminar room, bldg. 15.9, room 4001b <br>
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alternatively online: https://webconf.fz-juelich.de/b/wen-mym-pj7
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... | ... | @@ -75,16 +74,6 @@ http://arxiv.org/abs/2002.05709 |
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L. Jing and Y. Tian, CVPR2019<br>
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http://arxiv.org/abs/1902.06162
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### Monday 21 September 10-11:30am - Self-Supervised Visual Representation Learning
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Venue: tba
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* T. Chen, S. Kornblith, M. Norouzi, and G. Hinton, A Simple Framework for Contrastive Learning of Visual Representations <br>
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http://arxiv.org/abs/2002.05709
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* L. Jing and Y. Tian, Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey, CVPR2019 <br>
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http://arxiv.org/abs/1902.06162
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The first paper presents a state-of-the-art approach for self-supervised learning of strong visual features based on contrastive learning. Random data augmentation is applied to images from the ImageNet dataset and a model is trained to match augmented and original images. The second paper revisits several self-supervised training techniques for visual representation learning and offers a nice overview over different approaches.
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