stat940F21: Difference between revisions
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|Week of Nov 18 || Youssef Fathi || || NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis || [https://arxiv.org/pdf/2003.08934 Paper] || | |Week of Nov 18 || Youssef Fathi || || NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis || [https://arxiv.org/pdf/2003.08934 Paper] || | ||
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|Week of Nov 18 || Wei Liang || || Deep Stable Learning for Out-Of-Distribution Generalization (Received by CVPR2021) || [https://arxiv.org/pdf/2104.07876.pdf] || | |Week of Nov 18 || Wei Liang || || Deep Stable Learning for Out-Of-Distribution Generalization (Received by CVPR2021) || [https://arxiv.org/pdf/2104.07876.pdf] ||[https://www.dropbox.com/s/hd770on5c0mmgo7/STAT940_PAPER_PRESENTATION.pdf%20-%20%5BDeep%20Stable%20Learning%20for%20Out-Of-Distribution%20Generalization%5D%20-%20SumatraPDF%202021-11-17%2014-08-58.mp4?dl=0] | ||
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|Week of Nov 18 || Taj Jones-McCormick || ||Watch out! Motion is Blurring the Vision of Your Deep Neural Networks | |Week of Nov 18 || Taj Jones-McCormick || ||Watch out! Motion is Blurring the Vision of Your Deep Neural Networks | ||
Revision as of 14:56, 17 November 2021
Project Proposal
Paper presentation
| Date | Name | Paper number | Title | Link to the paper | Link to the video | |
| Week of Nov 8 | Abhinav Chanana (Example) | 1 | AUGMIX: A Simple Data Procession method to Improve Robustness And Uncertainity | Paper | Presentation | |
| Week of Nov 11 | ||||||
| Week of Nov 11 | Benyamin Jamialahmad | Perceiver: General Perception with Iterative Attention | [1] | [2] | ||
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| Week of Nov 18 | Veronica Salm | StructBERT: Incorporating Language Structures Into Pre-Training for Deep Language Understanding | Paper | |||
| Week of Nov 18 | Youssef Fathi | NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis | Paper | |||
| Week of Nov 18 | Wei Liang | Deep Stable Learning for Out-Of-Distribution Generalization (Received by CVPR2021) | [3] | [4] | ||
| Week of Nov 18 | Taj Jones-McCormick | Watch out! Motion is Blurring the Vision of Your Deep Neural Networks | https://papers.nips.cc/paper/2020/file/0a73de68f10e15626eb98701ecf03adb-Paper.pdf | [5] | ||
| Week of Nov 25 | Muhammad Maruf Sazed | An unsupervised deep learning approach for real-world image denoising | https://openreview.net/pdf?id=tIjRAiFmU3y | |||
| Week of Nov 25 | Yuxiang Huang | |||||
| Week of Nov 25 | Yuliang Shi | Small-gan: Speeding up gan training using core-sets | http://proceedings.mlr.press/v119/sinha20b/sinha20b.pdf | |||
| Week of Nov 25 | Varnan Sarangian | Big Bird: Transformers for Longer Sequences | [6] | |||
| Week of Nov 25 | Alice Leung | ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators | Paper | |||
| Week of Nov 25 | Maryam Yalsavar | Knowledge Extraction with No Observable Data | [7] | |||
| Week of Nov 25 | Shervin Hakimi | What Do Neural Networks Learn When Trained With Random Labels? | [8] | |||
| Week of Nov 25 | Islam Nasr | |||||
| Week of Nov 25 | Jared Feng | The Autoencoding Variational Autoencoder | https://nips.cc/virtual/2020/public/poster_ac10ff1941c540cd87c107330996f4f6.html | |||
| Week of Nov 25 | Mina Kebriaee | |||||
| Week of Nov 25 | Mehrshad Sadria | scGen predicts single-cell perturbation responses | https://www.nature.com/articles/s41592-019-0494-8 | |||
| Week of Nov 25 | Xuanzhi Huang |