Update README.md

Co-authored-by: Copilot <[email protected]>

Author: amrit110

README.md

@@ -20,7 +20,7 @@ This catalog is a collection of repositories for various Machine Learning techni
 [Diffusion model bootcamp][diffusion-repo] | This repository contains demos for various diffusion models for tabular and time series data. | TabDDPM, TabSyn, ClavaDDPM, CSDI, TSDiff | 12 | [Physionet Challenge 2012], [wiki2000] | 2024 |
 [News Media Bias][nmb-repo] | This repository contains code for libraries and experiments to recognise and evaluate bias and fakeness within news media articles via LLMs. | Bias evaluation via LLMs, finetuning and data annotation via LLM for fake news detection, Supervised finetuning for debiasing sentence, NER for biased phrases via LLMS, Evaluate using DeepEval library. | 4 | [News Media Bias Full data][nmb-data], [Toxigen], [Nela GT], [Debiaser data] | 2024 |
 [News Media Bias Plus][nmb-plus-repo] | Continuation of News Media Bias project, this repository contains code for libraries and experiments to collect and annotate data, recognise and evaluate bias and fakeness within news media articles via LLMs and LVMs. | Bias evaluation via LLMs and VLMs, finetuning and data annotation via LLM for fake news detection, supervised finetuning for debiasing sentence, NER for biased entities via LLMS. Published papers available on ArXiv'24: [ViLBias: A Comprehensive Framework for Bias Detection through Linguistic and Visual Cues , presenting Annotation Strategies, Evaluation, and Key Challenges][vilbias-paper], [Fact or Fiction? Can LLMs be Reliable Annotators for Political Truths?][fact-or-fiction-paper]| 2 | [News Media Bias Plus Full Data][nmb-plus-full-data], [NMB Plus Named Entities][nmb-plus-entities] | 2024 |
-| [Anomaly Detection Project][anomaly-repo] | This repository contains demos for various supervised and unsupervised anomaly detection techniques in domains such as Fraud Detection, Network Intrusion Detection, System Monitoring and image, Video Analysis. | AMNet, GCN, SAGE, OCGNN, DON, AdONE, MLP, FTTransformter, DeepSAD, XGBoost, CBLOF, CFA for Target-Oriented Anomaly Localization, Draem for surface anomaly detection, Logistic Regression, CATBoost,  Random Forest, Diversity Measurable Anomaly Detection, Two-stream I3D Convolutional Network, DeepCNN, CatBoost, LightGBM, Isolation Forest, TabNet, AutoEncoder, Internal Contrastive Learning | 5 | [On Vector Cluster][cluster-anomaly]| 2023 |
+| [Anomaly Detection Project][anomaly-repo] | This repository contains demos for various supervised and unsupervised anomaly detection techniques in domains such as Fraud Detection, Network Intrusion Detection, System Monitoring and image, Video Analysis. | AMNet, GCN, SAGE, OCGNN, DON, AdONE, MLP, FTTransformer, DeepSAD, XGBoost, CBLOF, CFA for Target-Oriented Anomaly Localization, Draem for surface anomaly detection, Logistic Regression, CATBoost,  Random Forest, Diversity Measurable Anomaly Detection, Two-stream I3D Convolutional Network, DeepCNN, CatBoost, LightGBM, Isolation Forest, TabNet, AutoEncoder, Internal Contrastive Learning | 5 | [On Vector Cluster][cluster-anomaly]| 2023 |
 | [SSL Bootcamp][ssl-repo] | This repository contains demos for self-supervised techniques such as contrastive learning, masked modeling and self distillation. | Internal Contrastive Learning, LatentOD-AD, TabRet,SimMTM, Data2Vec | 52 | [Beijing Air Quality][baq-ssl], [BRFSS][brfss-ssl], [Stroke Prediction][stroke-ssl], [STL10][stl-10-ssl], [Link1][Link1-ssl], [Link2][Link2-ssl] | 2023 |
 | [Causal Inference Lab][ci-lab-repo] |  This repository contains code to estimate the causal effects of an intervention on some measurable outcome primarily in the health domain. | Naive ATE, TARNet, DragonNet, Double Machine Learning, T Learner, S Learner, Inverse Propensity based Learner, PEHE, MAE; Evaluation metrics: R Score, DR Score, Tau Risk, Tau IPTW Score, Tau DR Score, Tau S Score, Tau T Risk, Influence Score | 5 | [Infant Health and Development Program][IHDP], <br> [Jobs], [Twins], <br> [Berkeley admission], <br> [Government Census], [Compas] | 2023 |
 | [VariationalNeuralAnnealing][vna-repo] | This repository contains code for the paper [Variational neural annealing][vna-paper]. <br> Authors are Mohamed Hibat-Allah, Estelle M. Inack, Roeland Wiersema, Roger G. Melko & Juan Carrasquilla. | Variational neural annealing; Variational Classical Annealing (VCA), Variational Quantum Annealing, Regularized VQA, Classical-Quantum Optimization | 2 | [Edwards-Anderson][EA], [Sherrington-Kirkpatrick][SK] | 2023 |