Difference between revisions of "stat940F21"

From statwiki
Jump to: navigation, search
Line 29: Line 29:
 
|-
 
|-
 
|Week of Nov 11 ||  || ||  ||  ||
 
|Week of Nov 11 ||  || ||  ||  ||
 +
|-
 +
|Week of Nov 11 || Yuxiang Huang  || ||  ||  ||
 
|-
 
|-
 
|Week of Nov 18 || Yuliang Shi  || ||  ||  ||
 
|Week of Nov 18 || Yuliang Shi  || ||  ||  ||

Revision as of 22:52, 10 November 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
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 11 Yuxiang Huang
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
Week of Nov 18 Muhammad Maruf Sazed
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 Jared Feng
Week of Nov 25 Mina Kebriaee