Revision as of 19:19, 1 November 2021

Project Proposal

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
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
Week of Nov 25	Mina Kebriaee		Old Photo Restoration via Deep Latent Space Translation	[4]

@@ Line 36: / Line 36: @@
 |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 || Wei Liang || || Deep Stable Learning for Out-Of-Distribution Generalization (Recieved 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] ||
 |-
 |Week of Nov 18 ||   || ||  ||   ||