stat940F21
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 | ||||||
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Week of Nov 11 | ||||||
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 | |||
Week of Nov 18 | Wei Liang | Deep Stable Learning for Out-Of-Distribution Generalization (Received by CVPR2021) | [1] | |||
Week of Nov 18 | ||||||
Week of Nov 18 | ||||||
Week of Nov 25 | Varnan Sarangian | Big Bird: Transformers for Longer Sequences | [2] | |||
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? | [3] | |||
Week of Nov 25 | Islam Nasr | |||||
Week of Nov 25 | Mina Kebriaee | Old Photo Restoration via Deep Latent Space Translation | [4] |