stat940F21: Difference between revisions
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|Week of Nov 16 || Cameron Meaney || 16|| Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations || | |Week of Nov 16 || Cameron Meaney || 16|| Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations || [https://pdf.sciencedirectassets.com/272570/1-s2.0-S0021999118X00229/1-s2.0-S0021999118307125/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjENz%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJHMEUCIQDieYyTDCpIYX9D0d2quubvwPVnqhyf50TYWuUd2sLuvAIgAbojDTmyAmsxuXDmF9mdpgEQg16rEqo%2F7%2BD%2B7lplQ6EqtAMIFRADGgwwNTkwMDM1NDY4NjUiDG09emuxngYnL8oNnSqRA81JvfyrVU1sveo0YabC50ZIJUjLgFEW2klDfhOhbPVDZUrrBZjZ%2BKRKqRCplG9XqTCpst%2BQMSNea7%2FTu2lhOdZmXr1FWL4M68gyNSYcyNZ8mf3BEJG6e%2FQQ9AqYB%2FV6%2FKFFtsTeFvQkxZAM2K%2BflnpwmTBbXJ6hFVj%2FCE3%2FksPTr%2FyXDYV%2F5GfGvfmnAOywaVKZOF6xhz0CIuj80M%2B3mPYPK4ayGW0yUdV4%2FldK7lfkY0DkxmsCK6vt5ppRaFU6N8ilj3mmFp7EDnxfDNpMgr6DT%2BLByM4RiXm%2F3%2F8lMA5wZ03Exb5WVRMUa7K2vPMgyKp1nZEBTjswViRumNWil2h62nQOKMdqnxy4fsB1VlYA%2B9Ikuj2pPzIMpbL1WzMKViLBoguD4Wxk3JyX08YtEMRQQz%2BxDvl1n%2Bi%2FKZ1DBH9mllfsUGaw%2BRmTyWrwgejCwksvzV81quuKZXXQ7TgP6b70iKd99G73x91K4KA5kvSmLNz%2BrwzFtYSZ8vgp3F0nmxRun0xaOZDP2q2zPmlPgOaVMOzc9vsFOusBOX7yC4g%2FvOvo6UAsZWvx%2B7wk2iW1eauzZ8KrjXPq%2BXnutG7y1AEfQaPYuU93fysXKGOMRywTvl86NA4IxHIun%2FnoQXvNyYxX6xc9s8rVRuug21jZQ4FiJSU8V7kDHCmQyunQrN5ru5NE0e9wigo6GGD1shAeGFGVm%2B%2FO466%2F8XmsYMn3DJ1Uj8E1JSSsJ8PGwatkyPOWcXQtdaDi8tMD1%2FZrNPNgBnlpSauyXpa7yJREora3fsrc6Gxqjg9eosUVgb28lFy2PQj6FJ6o0BgnY7vY7Bf1mK6UVWOUWqBMoksMkTu%2F82L0biD1TQ%3D%3D&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20201007T124307Z&X-Amz-SignedHeaders=host&X-Amz-Expires=300&X-Amz-Credential=ASIAQ3PHCVTYY6CVKUXC%2F20201007%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=49f1f3f613894280c9a29e3abae89f288c538fc0305fd3a1f43f07e8ba8a7d6e&hash=d554029dfead2978bf75aeeb88822bb843ea1af493361d869733e57aa21ddbdc&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&pii=S0021999118307125&tid=spdf-b1f47f97-abdd-4ec7-bd1b-ebd850121226&sid=4148f2ac861fe94f656b8eb8996f08aa6b53gxrqa&type=client] Paper || || | ||
|- | |- | ||
|Week of Nov 16 ||Sobhan Hemati|| 17||Adversarial Fisher Vectors for Unsupervised Representation Learning||[https://papers.nips.cc/paper/9295-adversarial-fisher-vectors-for-unsupervised-representation-learning.pdf Paper]|| || | |Week of Nov 16 ||Sobhan Hemati|| 17||Adversarial Fisher Vectors for Unsupervised Representation Learning||[https://papers.nips.cc/paper/9295-adversarial-fisher-vectors-for-unsupervised-representation-learning.pdf Paper]|| || | ||
Revision as of 07:44, 7 October 2020
Project Proposal
Record your contributions here [1]
Use the following notations:
P: You have written a summary/critique on the paper.
T: You had a technical contribution on a paper (excluding the paper that you present).
E: You had an editorial contribution on a paper (excluding the paper that you present).
Paper presentation
| Date | Name | Paper number | Title | Link to the paper | Link to the summary | Link to the video |
| Sep 15 (example) | Ri Wang | Sequence to sequence learning with neural networks. | Paper | Summary | [2] | |
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| Week of Nov 9 | 12 | |||||
| Week of Nov 16 | 13 | |||||
| Week of Nov 16 | 14 | |||||
| Week of Nov 16 | 15 | |||||
| Week of Nov 16 | Cameron Meaney | 16 | Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations | [3] Paper | ||
| Week of Nov 16 | Sobhan Hemati | 17 | Adversarial Fisher Vectors for Unsupervised Representation Learning | Paper | ||
| Week of Nov 16 | Milad Sikaroudi | 18 | Domain Genralization via Model Agnostic Learning of Semantic Features | Paper | ||
| Week of Nov 23 | Bowen You | 19 | DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION | Paper | ||
| Week of Nov 23 | Nouha Chatti | 20 | This Looks Like That: Deep Learning for Interpretable Image Recognition | Paper | ||
| Week of Nov 23 | Mohan Wu | 21 | Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Cluster for Extreme Multi-label Text Classification | Paper | ||
| Week of Nov 23 | Xinyi Yan | 22 | Incorporating BERT into Neural Machine Translation | Paper | ||
| Week of Nov 23 | Meixi Chen | 23 | Functional Regularisation for Continual Learning with Gaussian Processes | Paper | ||
| Week of Nov 23 | Ahmed Salamah | 24 | Sparse Convolutional Neural Networks | Paper | ||
| Week of Nov 30 | Danial Maleki | 25 | Attention Is All You Need | Paper | ||
| Week of Nov 30 | Gursimran Singh | 26 | BERTScore: Evaluating Text Generation with BERT. | Paper | ||
| Week of Nov 30 | Govind Sharma | 27 | Time-series Generative Adversarial Networks | Paper | ||
| Week of Nov 30 | Maral Rasoolijaberi | 28 | Parameter-free, Dynamic, and Strongly-Adaptive Online Learning | Paper | ||
| Week of Nov 30 | Sina Farsangi | 29 | A Baseline for Few-Shot Image Classification | Paper | ||
| Week of Nov 30 | Pierre McWhannel | 30 | Pre-training Tasks for Embedding-based Large-scale Retrieval | Paper | placeholder |