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Revision as of 19:11, 5 September 2021
Project Proposal
Record your contributions here [1]
Use the following notations:
P: You have written a summary/critique on the paper.
T: You had a technical contribution on a paper (excluding the paper that you present).
E: You had an editorial contribution on a paper (excluding the paper that you present).
Paper presentation
Date  Name  Paper number  Title  Link to the paper  Link to the summary  Link to the video 
Sep 15 (example)  Ri Wang  Sequence to sequence learning with neural networks.  Paper  Summary  [2]  
Week of Nov 2  Jose Avilez  1  Gradientless Descent: HighDimensional ZerothOrder Optimisation  [3]  GradientLess Descent  GLD Presentation File:GradientLessDescent.pdf 
Week of Nov 2  Abhinav Chanana  2  AUGMIX: A Simple Data Procession method to Improve Robustness And Uncertainity  Paper  Summary  [Presentation ] 
Week of Nov 2  Maziar Dadbin  3  ALBERT: A Lite BERT for Selfsupervised Learning of Language Representations  paper  Summary  
Week of Nov 2  John Landon Edwards  4  From Variational to Deterministic Autoencoders  Paper  Summary  Presentation 
Week of Nov 2  Wenyu Shen  5  Pretraining of Deep Bidirectional Transformers for Language Understanding  Paper  Summary  Presentation video 
Week of Nov 2  Syed Saad Naseem  6  Learning The Difference That Makes A Difference With CounterfactuallyAugmented Data  Paper  Summary  Presentation video 
Week of Nov 9  Donya Hamzeian  7  The Curious Case of Neural Text Degeneration  Paper  Summary  
Week of Nov 9  Parsa Torabian  8  Orthogonal Gradient Descent for Continual Learning  Paper  Summary  Learn 
Week of Nov 9  Arash Moayyedi  9  When Does Selfsupervision Improve Fewshot Learning?  Paper  Summary  Learn 
Week of Nov 9  Parsa Ashrafi Fashi  10  Learning to Generalize: MetaLearning for Domain Generalization  Paper  Summary  Presentation Video 
Week of Nov 9  Jaskirat Singh Bhatia  11  A FAIRCOMPARISON OFGRAPHNEURALNETWORKSFORGRAPHCLASSIFICATION  Paper  Summary  Presentation 
Week of Nov 9  Gaurav Sikri  12  BREAKING CERTIFIED DEFENSES: SEMANTIC ADVERSARIAL EXAMPLES WITH SPOOFED ROBUSTNESS CERTIFICATES  Paper  Summary  [Presentation ] 
Week of Nov 16  Abhinav Jain  13  The Logical Expressiveness of Graph Neural Networks  Paper  Summary  Presentation 
Week of Nov 16  Gautam Bathla  14  OneShot Object Detection with CoAttention and CoExcitation  Paper  Summary  Presentation 
Week of Nov 16  Shikhar Sakhuja  15  SuperGLUE: A Stickier Benchmark for GeneralPurpose Language Understanding Systems  Paper  Summary  [Presentation ] 
Week of Nov 16  Cameron Meaney  16  Physicsinformed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations  Paper  Summary  Learn 
Week of Nov 16  Sobhan Hemati  17  Adversarial Fisher Vectors for Unsupervised Representation Learning  Paper  Summary  video 
Week of Nov 16  Milad Sikaroudi  18  Domain Genralization via Model Agnostic Learning of Semantic Features  Paper  Summary  video also available on Learn 
Week of Nov 23  Bowen You  19  DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION  Paper  Summary  Learn 
Week of Nov 23  Nouha Chatti  20  This Looks Like That: Deep Learning for Interpretable Image Recognition  Paper  Summary  
Week of Nov 23  Mohan Wu  21  Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Cluster for Extreme Multilabel Text Classification  Paper  Summary  video 
Week of Nov 23  Xinyi Yan  22  Dense Passage Retrieval for OpenDomain Question Answering  Paper  Summary  Learn 
Week of Nov 23  Meixi Chen  23  Functional Regularisation for Continual Learning with Gaussian Processes  Paper  Summary  Learn 
Week of Nov 23  Ahmed Salamah  24  AdaCompress: Adaptive Compression for Online Computer Vision Services  Paper  Summary  video or Learn 
Week of Nov 23  Mohammad Mahmoud  32  Mathematical Reasoning in Latent Space  [4]  
Week of Nov 30  Danial Maleki  25  RoBERTa: A Robustly Optimized BERT Pretraining Approach  Paper  Summary  Presentation Video 
Week of Nov 30  Gursimran Singh  26  BERTScore: Evaluating Text Generation with BERT  Paper  Summary  Learn 
Week of Nov 30  Govind Sharma  27  Timeseries Generative Adversarial Networks  Paper  Summary  video or Learn 
Week of Nov 30  Maral Rasoolijaberi  28  A critical analysis of selfsupervision, or what we can learn from a single image  Paper  Summary  YouTube 
Week of Nov 30  Sina Farsangi  29  SelfSupervised Learning of PretextInvariant Representations  Paper  Summary  YouTube or Learn 
Week of Nov 30  Pierre McWhannel  30  Pretraining Tasks for Embeddingbased Largescale Retrieval  Paper  Summary  Learn 
Week of Nov 30  Wenjuan Qi  31  Network Deconvolution  Paper  placeholder 