Merge pull request #2 from VectorInstitute/feature/add-ref-impl-2018-2021

Add reference implementations from 2018-2021

Author: AnanyaRaval

README.md

@@ -3,4 +3,57 @@
 #TODO: Add an introduction here.
 
 | Repository | Description | Algorithms  | Number of<br>datasets | Datasets  |
-| :--------- | :---------- | :---------: | :--------------------:| :-------: |
+| :--------- | :---------- | :---------: | :--------------------:| :-------: |
+| [laftr][lafter-repo] | <p>This repository contains code for the paper [Learning Adversarially Fair and Transferable Representations][laftr-paper] which was accepted at PMLR'18. <br> Authors are David Madras, Elliot Creager, Toniann Pitassi and Richard Zemel.</p> | laftr | 1 | [Adult] |
+| [gram-ood-detection][god-repo] | This repository contains code for the paper [Detecting Out-of-Distribution Examples with In-distribution Examples and Gram Matrices][god-paper] which was accepted at ICML'20. <br> Authors are Chandramouli Shama Sastry, Sageev Oore. | OOD detection using Gram matrices | 7 | [CIFAR10], [CIFAR100], [SVHN]|
+| [Computer_Vision_Project][cvp-repo] | This repository tackles different problems such as defect detection, footprint extraction, road obstacle detection, traffic incident detection, and segmentation of medical procedures. | Semantic segmentation using Unet, Unet++, FCN, DeepLabv3; Anomaly segmentation | 11 | [SpaceNet Building Detection V2], <br> [MVTEC], [ICDAR2015], [PASCAL_VOC] <br> [DOTA], [AVA], [UCF101-24] <br> [J-HMDB-21]|
+| [Privacy Enhancing Technologies][pet-repo] | This repository contains demos for Privacy, Homomorphic Encryption, Horizontal and Vertical Federated Learning, MIA, and PATE | Vanilla SGD, DP SGD, DP Logistic Regression, Homomorphic Encryption for MLP, Horizontal FL, Horizontal FL on MLP, Membership Inference Attacks (MIA) using DP, MIA using SAM, PATE, Vertical FL. | 9 | [Heart Disease], [Credit Card Fraud] <br> [Breaset Cancer Data], [TCGA] <br> [CIFAR10][cifar10-pet], [Home Credit Default Risk] <br> [Yelp], [Airbnb]|
+| [SSGVQAP][ssgvap-repo] | This repository contains code for the paper [A Smart System to Generate and Validate Question Answer Pairs for COVID-19 Literature][ssgvap-paper] which was accepted ibn ACL'20. Authors are Rohan Bhambhoria, Luna Feng, Dawn Sepehr, John Chen, Conner Cowling, Sedef Kocak, Elham Dolatabadi. | An Active Learning Strategy for Data Selection, AL-Uncertainty, AL-Clustering | 1 | [CORD-19] |
+| [NeuralKernelBandits][nkb-repo] | This repository contains code for the paper [An Empirical Study of Neural Kernel Bandits][nkb-paper] which was accepted in Neurips'21. Authors are Lisicki, Michal, Arash Afkanpour, and Graham W. Taylor. | Neural tangent kernel, Conjugate kernel, NNGP, Deep ensembles, Randomized Priors, NTKGP, Upper Confidence Bounds (UCB), Thompson Sampling (TS) | 7 | [Mushroom], [Statlog] <br> [Adult][adult-nkb], [US Census 1990] <br> [Covertype] |
+| [foodprice-forecasting][fpf-repo] | This repository replicates the experiments described on pages 16 and 17 of the [2022 Edition of Canada's Food Price Report][fpf-paper]. | Time series forecasting using Prophet,  Time series forecasting using Neural prophet, Interpretable time series forecasting using N-BEATS, Ensemble of the above methods. | 3 | [FRED Economic Data] |
+--------
+
+[//]: # (Reference links for Github repositories)
+[lafter-repo]: https://github.com/VectorInstitute/laftr
+[god-repo]: https://github.com/VectorInstitute/gram-ood-detection
+[cvp-repo]: https://github.com/VectorInstitute/Computer_Vision_Project
+[pet-repo]: https://github.com/VectorInstitute/PETs-Bootcamp
+[ssgvap-repo]: https://github.com/VectorInstitute/SSGVQAP
+[nkb-repo]: https://github.com/VectorInstitute/NeuralKernelBandits
+[fpf-repo]: https://github.com/VectorInstitute/foodprice-forecasting
+
+[//]: # (Reference links for Research papers)
+[laftr-paper]: https://arxiv.org/abs/1802.06309
+[god-paper]: http://proceedings.mlr.press/v119/sastry20a.html
+[ssgvap-paper]: https://aclanthology.org/2020.sdp-1.4/
+[nkb-paper]: https://arxiv.org/abs/2111.03543
+[fpf-paper]: https://www.dal.ca/sites/agri-food/research/canada-s-food-price-report-2022.html
+
+[//]: # (Reference links for datasets)
+[CIFAR10]: https://pytorch.org/vision/main/generated/torchvision.datasets.CIFAR10.html#torchvision.datasets.CIFAR10
+[CIFAR100]: https://pytorch.org/vision/main/generated/torchvision.datasets.CIFAR100.html#torchvision.datasets.CIFAR100
+[SVHN]: https://pytorch.org/vision/main/generated/torchvision.datasets.SVHN.html#torchvision.datasets.SVHN
+[Adult]: https://github.com/VectorInstitute/laftr/tree/master/data/adult
+[SpaceNet Building Detection V2]: https://spacenet.ai/spacenet-buildings-dataset-v2/
+[MVTEC]: https://www.mvtec.com/company/research/datasets/mvtec-ad
+[ICDAR2015]: https://drive.google.com/drive/folders/12eg7u7oBkZ6-ov3ITiED4nLlQzP4KoTd
+[PASCAL_VOC]: https://drive.google.com/drive/folders/12eg7u7oBkZ6-ov3ITiED4nLlQzP4KoTd
+[DOTA]: https://github.com/MoonBlvd/Detection-of-Traffic-Anomaly
+[AVA]: https://github.com/cvdfoundation/ava-dataset
+[UCF101-24]: https://drive.google.com/file/d/1o2l6nYhd-0DDXGP-IPReBP4y1ffVmGSE/view?usp=sharing
+[J-HMDB-21]: http://jhmdb.is.tue.mpg.de/challenge/JHMDB/datasets
+[Heart Disease]: https://www.kaggle.com/datasets/ronitf/heart-disease-uci
+[Credit Card Fraud]: https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud
+[Breaset Cancer Data]: https://github.com/VectorInstitute/PETs-Bootcamp/blob/main/HE_TenSEAL/breast_cancer_data.csv
+[TCGA]: https://vectorinstituteai-my.sharepoint.com/personal/sedef_kocak_vectorinstituteai_onmicrosoft_com/_layouts/15/onedrive.aspx?id=%2Fpersonal%2Fsedef%5Fkocak%5Fvectorinstituteai%5Fonmicrosoft%5Fcom%2FDocuments%2FPETS%5FProject%5FParticipants%2FExample%20Datasets%2FKidney%20Histopathology&ga=1
+[cifar10-pet]: https://www.tensorflow.org/api_docs/python/tf/keras/datasets/cifar10
+[Home Credit Default Risk]: https://www.kaggle.com/c/home-credit-default-risk/overview
+[Yelp]: https://business.yelp.com/data/resources/open-dataset/
+[Airbnb]: https://insideairbnb.com/get-the-data/
+[CORD-19]: https://www.kaggle.com/datasets/allen-institute-for-ai/CORD-19-research-challenge
+[Mushroom]: https://archive.ics.uci.edu/dataset/73/mushroom
+[Statlog]: https://github.com/VectorInstitute/NeuralKernelBandits/tree/main/contextual_bandits/datasets
+[Adult-nkb]: https://archive.ics.uci.edu/dataset/2/adult
+[US Census 1990]: https://archive.ics.uci.edu/dataset/116/us+census+data+1990
+[Covertype]: https://archive.ics.uci.edu/dataset/31/covertype
+[FRED Economic Data]: https://fred.stlouisfed.org/