stat940F21

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
Week of Nov 11
Week of Nov 11
Week of Nov 11
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	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		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	Varnan Sarangian		Big Bird: Transformers for Longer Sequences	[3]
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?	[4]
Week of Nov 25	Islam Nasr
Week of Nov 25	Jared Feng
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