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== [[F20-STAT 946-Proposal| Project Proposal ]] == | == [[F20-STAT 946-Proposal| Project Proposal ]] == | ||
=Paper presentation= | =Paper presentation= | ||
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{| border="1" cellpadding="3" | {| border="1" cellpadding="3" | ||
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|width=" | |width="120pt"|Date | ||
|width=" | |width="200pt"|Name | ||
|width="30pt"|Paper number | |width="30pt"|Paper number | ||
|width=" | |width="900pt"|Title | ||
|width="30pt"|Link to the paper | |width="30pt"|Link to the paper | ||
|width="30pt"|Link to the video | |width="30pt"|Link to the video | ||
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|Week of Nov 8 || Abhinav Chanana (Example) || 1||AUGMIX: A Simple Data Procession method to Improve Robustness And Uncertainity || [https://openreview.net/pdf?id=S1gmrxHFvB Paper] || [https://youtu.be/epBzlXHFNlY Presentation ] | |||
|Week of Nov | |||
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|Week of Nov | |Week of Nov 11 || || || || || | ||
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|Week of Nov | |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] || | ||
|- | |- | ||
|Week of Nov | |Week of Nov 11 || || || || || | ||
|- | |- | ||
|Week of Nov | |Week of Nov 11 || || || || || | ||
|- | |- | ||
|Week of Nov | |Week of Nov 11 || || || || || | ||
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|Week of Nov | |Week of Nov 11 || || || || || | ||
|- | |- | ||
|Week of Nov | |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] || | ||
|- | |- | ||
|Week of Nov | |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] | ||
|- | |- | ||
|Week of Nov | |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] | ||
|- | |- | ||
|Week of Nov | |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] | |||
|- | |||
|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 | |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] | ||
|- | |- | ||
|Week of Nov | |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] | ||
|- | |- | ||
|Week of Nov | |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 | |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 | |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 | |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 | |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 | |Week of Nov 25 || Jared Feng || || The Autoencoding Variational Autoencoder || https://nips.cc/virtual/2020/public/poster_ac10ff1941c540cd87c107330996f4f6.html || | ||
|- | |- | ||
|Week of Nov | |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 | |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 |