Add breaks in datasets for readability

Author: AnanyaRaval

README.md

@@ -4,12 +4,12 @@
 
 | Repository | Description | Algorithms  | Number of<br>datasets | Datasets  |
 | :--------- | :---------- | :---------: | :--------------------:| :-------: |
-| [laftr][lafter-repo] | 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. | 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] [MVTEC] [ICDAR2015] [PASCAL_VOC] [DOTA] [AVA] [UCF101-24] [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] [Breaset Cancer Data] [TCGA] [CIFAR10][cifar10-pet] [Home Credit Default Risk] [Yelp] [Airbnb]|
+| [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] [Adult][adult-nkb] [US Census 1990] [Covertype] |
+| [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] |
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