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|Week of Nov 25 || Maryam Yalsavar || || Knowledge Extraction with No Observable Data || http://papers.neurips.cc/paper/8538-knowledge-extraction-with-no-observable-data.pdf || | |Week of Nov 25 || Maryam Yalsavar || || 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 || | |Week of Nov 25 || Shervin Hakimi || || What Do Neural Networks Learn When Trained With Random Labels? || [https://proceedings.neurips.cc/paper/2020/file/e4191d610537305de1d294adb121b513-Paper.pdf] || | ||
When Trained With Random Labels? || [https://proceedings.neurips.cc/paper/2020/file/e4191d610537305de1d294adb121b513-Paper.pdf] || | |||
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|Week of Nov 25 || || || || || | |Week of Nov 25 || || || || || | ||
Revision as of 12:31, 28 October 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 | |
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| Week of Nov 18 | Yuliang Shi | |||||
| 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 | |||
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| Week of Nov 18 | ||||||
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| Week of Nov 25 | Varnan Sarangian | Big Bird: Transformers for Longer Sequences | [1] | |||
| 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 | http://papers.neurips.cc/paper/8538-knowledge-extraction-with-no-observable-data.pdf | |||
| Week of Nov 25 | Shervin Hakimi | What Do Neural Networks Learn When Trained With Random Labels? | [2] | |||
| Week of Nov 25 | ||||||
| Week of Nov 25 |