Difference between revisions of "stat940F21"

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(Paper presentation)
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|Week of Nov 16 || Cameron Meaney  || 16|| Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations || [https://pdf.sciencedirectassets.com/272570/1-s2.0-S0021999118X00229/1-s2.0-S0021999118307125/main.pdf?X-Amz-Date=20201007T125457Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Signature=4f33bf8f5af610d25f0f08f638d0bf663b6079a49393754d14ea656618ee040f&X-Amz-Credential=ASIAQ3PHCVTYV433NC4S%2F20201007%2Fus-east-1%2Fs3%2Faws4_request&type=client&tid=prr-b4dbc2bb-cd3c-424d-8b43-22fc22d81524&sid=45b42873310db64eb4893370e82b35abf675gxrqa&pii=S0021999118307125&X-Amz-SignedHeaders=host&X-Amz-Security-Token=IQoJb3JpZ2luX2VjENz%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJGMEQCIDD116qgS%2BeYQoLCSLT4IS%2FwcfEOIC%2FHSfBTJpSZfmAfAiBOM5RNxUyryi%2Ft6vJ07KbO1csAmKnj6uTOP8%2FKVAgkYyq0AwgVEAMaDDA1OTAwMzU0Njg2NSIM243Swx0BL88sGjYhKpEDXi%2BvklCLJ6ZpebuJ9b2I99qQxn5y939LI2t%2BFPf4jUIzOSdla7vIJQbBohvv60dYKETTEmHBha2qWRZd1AhvNskzPvol1mD%2FHrX2USFAng8VwRwzIR79wMahv5ZeZxhIHNuyB9buP6nWGPgxzpljpWysBahmLIgsvotMgZmyibGtSCTFhIbz%2Frrc8mDm8pB7QXCYQM3nuYnkpVjSb8NBVQIwH3TaAGKFOuRoKLeoU4nd46dRCbPq4Nd%2FstD1uhNX%2BfqAnWOYVsrJj1Su3KuAZjPnBudloiRlVeIufObuorINSmTEm8KZmh5BqD0DAHaaei7lQUIHfm%2BsYqIt7mcWnnvhAyKJqtzvdBvYR9rHvVmFbPWgtREUqlJwXb2kPYuoaaCTGvJkPSUnXU24QycOcbr29HWbZvaTStMrzNBck3ikJmyiQp0ciXzme35b6aIshO3WxJj6jKRR4ijsd4woFy5yME60CkJsUqHT1gwOEuglsw8P61RQBBP8TexQfBor%2B1iixEGLdxdRPzRMTgJZSP0w7dD2%2BwU67AHTe9p577uLdVXlKQGK9xVSPOtbJ83%2FIE3z8tlTK8CFjqKeLta0Q31vXe0DSE7quzG1%2BsM16V6xo%2BiHLEvmz7FcBF7R8cceXAb2fsmL%2BPg1bgq3MCZjh6s4bA9enZQpc%2FzM9UODnbD%2FpxMzAF2Zk%2B6tH4%2F7ISr5Ga0r2skXaejzvqHPv1nmKEoJSvfYvguSRXzFWCJAo07Te5hAduGX9ko6wDzL6RNpaO7fq%2FXpyOAXJBlooWITFjQYXtlbaG4qdoF2FP5ZY1wd104K7DEPn7sniP765zJp5Nqo%2BXmQaogNLn21vnuqESj2SoGvXQ%3D%3D&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&X-Amz-Expires=300&hash=04a28e148c7a7f9a793cf8dd707e84f82ff6867e54fb94522ce741444d144b86 Paper] || ||
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|Week of Nov 16 || Cameron Meaney  || 16|| Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations || [https://www.sciencedirect.com/science/article/pii/S0021999118307125 Paper] || ||
 
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|Week of Nov 16 ||Sobhan Hemati|| 17||Adversarial Fisher Vectors for Unsupervised Representation Learning||[https://papers.nips.cc/paper/9295-adversarial-fisher-vectors-for-unsupervised-representation-learning.pdf Paper]|| ||
 
|Week of Nov 16 ||Sobhan Hemati|| 17||Adversarial Fisher Vectors for Unsupervised Representation Learning||[https://papers.nips.cc/paper/9295-adversarial-fisher-vectors-for-unsupervised-representation-learning.pdf Paper]|| ||

Revision as of 08:58, 7 October 2020

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Record your contributions here [1]

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Paper presentation

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Sep 15 (example) Ri Wang Sequence to sequence learning with neural networks. Paper Summary [2]
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Week of Nov 16 Cameron Meaney 16 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations Paper
Week of Nov 16 Sobhan Hemati 17 Adversarial Fisher Vectors for Unsupervised Representation Learning Paper
Week of Nov 16 Milad Sikaroudi 18 Domain Genralization via Model Agnostic Learning of Semantic Features Paper
Week of Nov 23 Bowen You 19 DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION Paper
Week of Nov 23 Nouha Chatti 20 This Looks Like That: Deep Learning for Interpretable Image Recognition Paper
Week of Nov 23 Mohan Wu 21 Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Cluster for Extreme Multi-label Text Classification Paper
Week of Nov 23 Xinyi Yan 22 Incorporating BERT into Neural Machine Translation Paper
Week of Nov 23 Meixi Chen 23 Functional Regularisation for Continual Learning with Gaussian Processes Paper
Week of Nov 23 Ahmed Salamah 24 Sparse Convolutional Neural Networks Paper
Week of Nov 30 Danial Maleki 25 Attention Is All You Need Paper
Week of Nov 30 Gursimran Singh 26 BERTScore: Evaluating Text Generation with BERT. Paper
Week of Nov 30 Govind Sharma 27 Time-series Generative Adversarial Networks Paper
Week of Nov 30 Maral Rasoolijaberi 28 Parameter-free, Dynamic, and Strongly-Adaptive Online Learning Paper
Week of Nov 30 Sina Farsangi 29 A Baseline for Few-Shot Image Classification Paper
Week of Nov 30 Pierre McWhannel 30 Pre-training Tasks for Embedding-based Large-scale Retrieval Paper placeholder