Difference between revisions of "stat940F21"

From statwiki
Jump to: navigation, search
(Project Proposal)
(Paper presentation)
Line 38: Line 38:
 
|-
 
|-
 
|Week of Nov 18 || Taj Jones-McCormick  || ||Watch out! Motion is Blurring the Vision of Your Deep Neural Networks
 
|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 ||https://www.youtube.com/watch?v=Asv1lMiHCw8 |-
+
||https://papers.nips.cc/paper/2020/file/0a73de68f10e15626eb98701ecf03adb-Paper.pdf ||[https://www.youtube.com/watch?v=Asv1lMiHCw8]
 +
|-
 
|Week of Nov 18 || Muhammad Maruf Sazed  || ||  ||  ||
 
|Week of Nov 18 || Muhammad Maruf Sazed  || ||  ||  ||
 
|-
 
|-

Revision as of 21:12, 12 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 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
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