Difference between revisions of "stat940F21"

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== [[F20-STAT 946-Proposal| Project Proposal ]] ==
 
== [[F20-STAT 946-Proposal| Project Proposal ]] ==
 
  
 
=Paper presentation=
 
=Paper presentation=
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|Week of Nov 11 ||  || ||  ||  ||
 
|Week of Nov 11 ||  || ||  ||  ||
 
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|Week of Nov 11 ||   || ||  ||   ||
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|Week of Nov 11 || Benyamin Jamialahmad  ||  || Perceiver: General Perception with Iterative Attention || [https://arxiv.org/abs/2103.03206] ||[https://www.youtube.com/watch?v=NmzsUgfzor0] ||
 
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|Week of Nov 11 ||  || ||  ||  ||
 
|Week of Nov 11 ||  || ||  ||  ||
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|Week of Nov 11 ||  || ||  ||  ||
 
|Week of Nov 11 ||  || ||  ||  ||
 
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|Week of Nov 18 || Yuliang Shi  || ||  ||  ||
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|Week of Nov 18 || Veronica Salm || || StructBERT: Incorporating Language Structures Into Pre-Training for Deep Language Understanding || [https://openreview.net/pdf?id=BJgQ4lSFPH Paper] || [https://www.youtube.com/watch?v=WT2HD9Fv8-g Presentation] ||
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|Week of Nov 18 || Veronica Salm || || StructBERT: Incorporating Language Structures Into Pre-Training for Deep Language Understanding || [https://openreview.net/pdf?id=BJgQ4lSFPH Paper] || ||
 
 
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|Week of Nov 18 ||  Youssef Fathi || || NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis || [https://arxiv.org/pdf/2003.08934 Paper]  ||
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|Week of Nov 18 ||  Youssef Fathi || || NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis || [https://arxiv.org/pdf/2003.08934 Paper]  || [https://www.youtube.com/watch?v=MJ3DQgKZ8qg]
 
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|Week of Nov 18 || Wei Liang || || Deep Stable Learning for Out-Of-Distribution Generalization (Received by CVPR2021) || [https://arxiv.org/pdf/2104.07876.pdf] ||
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|Week of Nov 18 || Wei Liang || || Deep Stable Learning for Out-Of-Distribution Generalization (Received by CVPR2021) || [https://arxiv.org/pdf/2104.07876.pdf] ||[https://www.dropbox.com/s/hd770on5c0mmgo7/STAT940_PAPER_PRESENTATION.pdf%20-%20%5BDeep%20Stable%20Learning%20for%20Out-Of-Distribution%20Generalization%5D%20-%20SumatraPDF%202021-11-17%2014-08-58.mp4?dl=0]
 
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|-
 
|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 ||
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||https://papers.nips.cc/paper/2020/file/0a73de68f10e15626eb98701ecf03adb-Paper.pdf ||[https://www.youtube.com/watch?v=Asv1lMiHCw8]
 +
|-
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|Week of Nov 25 || Muhammad Maruf Sazed  || || An unsupervised deep learning approach for real-world image denoising|| https://openreview.net/pdf?id=tIjRAiFmU3y  ||https://drive.google.com/file/d/1BXnuezattSvxOK83FAfiLjKyQc8uKzpq/view?usp=sharing
 
|-
 
|-
|Week of Nov 18 || Muhammad Maruf Sazed || || ||   ||
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|Week of Nov 25 || Yuxiang Huang || || Reliability Does Matter: An End-to-EndWeakly Supervised Semantic Segmentation Approach || [https://ojs.aaai.org//index.php/AAAI/article/view/6971 Publication]  || [https://www.youtube.com/watch?v=DavSpJirihE&list=LLtF8FO4E2r-AE_mZNSVHZKA&ab_channel=Yuxiang Presentation]
 
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|-
|Week of Nov 25 || Yuxiang Huang || || ||   ||
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|Week of Nov 25 || Yuliang Shi || || Small-gan: Speeding up gan training using core-sets || [http://proceedings.mlr.press/v119/sinha20b/sinha20b.pdf Paper]  || [https://uofwaterloo-my.sharepoint.com/:v:/g/personal/y323shi_uwaterloo_ca/EbfkKXoQamVMgSdQ8eCiQuYBoSg8kGBkF89qd47H2EjxlQ?e=GAK5kB Presentation]
 
|-
 
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|Week of Nov 25 || Varnan Sarangian  || || Big Bird: Transformers for Longer Sequences || [https://papers.nips.cc/paper/2020/file/c8512d142a2d849725f31a9a7a361ab9-Paper.pdf] ||
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|Week of Nov 25 || Varnan Sarangian  || || Self-training For Few-shot Transfer Across Extreme Task Differences || [https://openreview.net/pdf?id=O3Y56aqpChA] || [https://youtu.be/a6Dh4JQfJPQ]
 
|-
 
|-
|Week of Nov 25 || Alice Leung  || ||ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators ||  [https://openreview.net/pdf?id=r1xMH1BtvB Paper]||
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|Week of Nov 25 || Alice Leung  || ||ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators ||  [https://openreview.net/pdf?id=r1xMH1BtvB Paper]|| [https://youtu.be/mji9nBiwoU8 Presentation]  ||
 
|-
 
|-
|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  ||
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|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] || [https://www.youtube.com/watch?v=zsvN2tREiLE] ||
 
|-
 
|-
 
|Week of Nov 25 ||  Shervin Hakimi || ||  What Do Neural Networks Learn When Trained With Random Labels? ||  [https://proceedings.neurips.cc/paper/2020/file/e4191d610537305de1d294adb121b513-Paper.pdf]  ||
 
|Week of Nov 25 ||  Shervin Hakimi || ||  What Do Neural Networks Learn When Trained With Random Labels? ||  [https://proceedings.neurips.cc/paper/2020/file/e4191d610537305de1d294adb121b513-Paper.pdf]  ||
 
|-
 
|-
|Week of Nov 25 || Islam Nasr || ||  ||  ||
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|Week of Nov 25 || Islam Nasr || || Deep Learning Approaches for Forecasting Strawberry Yields and Prices Using Satellite Images and Station-Based Soil Parameters
 +
  || [http://ceur-ws.org/Vol-2846/paper10.pdf] || [https://youtu.be/HP9zyxTOioA] ||
 
|-
 
|-
|Week of Nov 25 || Jared Feng || || || ||
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|Week of Nov 25 || Jared Feng || || The Autoencoding Variational Autoencoder || https://nips.cc/virtual/2020/public/poster_ac10ff1941c540cd87c107330996f4f6.html ||
 
|-
 
|-
|Week of Nov 25 ||  Mina Kebriaee || || || ||
+
|Week of Nov 25 ||  Mina Kebriaee || || Synthesizer: Rethinking Self-Attention for Transformer Models ||[https://arxiv.org/pdf/2005.00743.pdf] || [https://encoded-bongo-ca-youseeu-com.s3.amazonaws.com/i-18270/class/_6WAX3WJ/_1168044/media/_as390938/__1168044_act-67315_44487daa95b5cb3f5fa11383b545f45a.mp4] ||
 
|-
 
|-
 
|Week of Nov 25 ||  Mehrshad Sadria || || scGen predicts single-cell perturbation responses || https://www.nature.com/articles/s41592-019-0494-8 ||
 
|Week of Nov 25 ||  Mehrshad Sadria || || scGen predicts single-cell perturbation responses || https://www.nature.com/articles/s41592-019-0494-8 ||
 +
|-
 +
|Week of Nov 25 ||  Xuanzhi Huang || ||Comparing Rewinding and Fine-tuning in Neural Network Pruning || https://arxiv.org/abs/2003.02389 || https://youtu.be/2L02BxUaO2Q ||

Latest revision as of 23:29, 1 December 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 Benyamin Jamialahmad Perceiver: General Perception with Iterative Attention [1] [2]
Week of Nov 11
Week of Nov 11
Week of Nov 11
Week of Nov 11
Week of Nov 18 Veronica Salm StructBERT: Incorporating Language Structures Into Pre-Training for Deep Language Understanding Paper Presentation
Week of Nov 18 Youssef Fathi NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis Paper [3]
Week of Nov 18 Wei Liang Deep Stable Learning for Out-Of-Distribution Generalization (Received by CVPR2021) [4] [5]
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 [6]
Week of Nov 25 Muhammad Maruf Sazed An unsupervised deep learning approach for real-world image denoising https://openreview.net/pdf?id=tIjRAiFmU3y https://drive.google.com/file/d/1BXnuezattSvxOK83FAfiLjKyQc8uKzpq/view?usp=sharing
Week of Nov 25 Yuxiang Huang Reliability Does Matter: An End-to-EndWeakly Supervised Semantic Segmentation Approach Publication Presentation
Week of Nov 25 Yuliang Shi Small-gan: Speeding up gan training using core-sets Paper Presentation
Week of Nov 25 Varnan Sarangian Self-training For Few-shot Transfer Across Extreme Task Differences [7] [8]
Week of Nov 25 Alice Leung ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators Paper Presentation
Week of Nov 25 Maryam Yalsavar Knowledge Extraction with No Observable Data [9] [10]
Week of Nov 25 Shervin Hakimi What Do Neural Networks Learn When Trained With Random Labels? [11]
Week of Nov 25 Islam Nasr Deep Learning Approaches for Forecasting Strawberry Yields and Prices Using Satellite Images and Station-Based Soil Parameters [12] [13]
Week of Nov 25 Jared Feng The Autoencoding Variational Autoencoder https://nips.cc/virtual/2020/public/poster_ac10ff1941c540cd87c107330996f4f6.html
Week of Nov 25 Mina Kebriaee Synthesizer: Rethinking Self-Attention for Transformer Models [14] [15]
Week of Nov 25 Mehrshad Sadria scGen predicts single-cell perturbation responses https://www.nature.com/articles/s41592-019-0494-8
Week of Nov 25 Xuanzhi Huang Comparing Rewinding and Fine-tuning in Neural Network Pruning https://arxiv.org/abs/2003.02389 https://youtu.be/2L02BxUaO2Q