| Date
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Name
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Paper number
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Title
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Link to the paper
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Link to the video
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| Week of Nov 8 |
Abhinav Chanana (Example) |
1 |
AUGMIX: A Simple Data Procession method to Improve Robustness And Uncertainity |
Paper |
Presentation
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| Week of Nov 11 |
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| Week of Nov 11 |
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| Week of Nov 11 |
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| Week of Nov 11 |
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| Week of Nov 11 |
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| Week of Nov 11 |
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| Week of Nov 18 |
Yuliang Shi |
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| Week of Nov 18 |
Veronica Salm |
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StructBERT: Incorporating Language Structures Into Pre-Training for Deep Language Understanding |
Paper |
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| Week of Nov 18 |
Youssef Fathi |
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NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis |
Paper |
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| Week of Nov 18 |
Wei Liang |
|
Deep Stable Learning for Out-Of-Distribution Generalization (Received by CVPR2021) |
[1] |
|
| 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 |
[2]
|
| Week of Nov 18 |
Muhammad Maruf Sazed |
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An unsupervised deep learning approach for real-world image denoising |
https://openreview.net/pdf?id=tIjRAiFmU3y |
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| Week of Nov 25 |
Yuxiang Huang |
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| Week of Nov 25 |
Varnan Sarangian |
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Big Bird: Transformers for Longer Sequences |
[3] |
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| Week of Nov 25 |
Alice Leung |
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ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators |
Paper |
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| Week of Nov 25 |
Maryam Yalsavar |
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Knowledge Extraction with No Observable Data |
http://papers.neurips.cc/paper/8538-knowledge-extraction-with-no-observable-data.pdf |
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| Week of Nov 25 |
Shervin Hakimi |
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What Do Neural Networks Learn When Trained With Random Labels? |
[4] |
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| Week of Nov 25 |
Islam Nasr |
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| Week of Nov 25 |
Jared Feng |
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The Autoencoding Variational Autoencoder |
https://nips.cc/virtual/2020/public/poster_ac10ff1941c540cd87c107330996f4f6.html |
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| Week of Nov 25 |
Mina Kebriaee |
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| Week of Nov 25 |
Mehrshad Sadria |
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scGen predicts single-cell perturbation responses |
https://www.nature.com/articles/s41592-019-0494-8 |
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| Week of Nov 25 |
Xuanzhi Huang |
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