Mihir DeshpandeDebiasing Word Embeddings with GeometryWhen we start learning about Large Language Models and Natural Language Processing, one of the first concepts we come across is word…May 27, 2023May 27, 2023
Mihir DeshpandeWhat does the Prof say?By Amrit Sandhu (ams22664), Mihir Deshpande (md46487), Muskan Agarwal (ma64547), Samarth Mishra (sm79247) and Tanvi Dalal (trd878)Mar 20, 2023Mar 20, 2023
Mihir Deshpandet-SNE —A Data Visualization techniquet-SNE or t distributed Stochastic Neighbor Embedding is primarily a data visualization technique akin to Principal Component Analysis (at…Jan 14, 2023Jan 14, 2023
Mihir DeshpandeSupport Vector Machines: A ReviewNote: I will be using An Introduction to Statistical Learning V2 (ISLRv2) as the main reference point for my review of this topic.Dec 28, 2022Dec 28, 2022
Mihir DeshpandePrincipal Component Analysis and its Relation to EigenvectorsPrincipal Component Analysis (PCA) is one of the most fundamental dimensionality reduction techniques in statistics (also one of the…Dec 28, 20221Dec 28, 20221
Mihir DeshpandeLane Detection: An Instance Segmentation Based ApproachBy Nicolay Huarancay, Mihir Deshpande, Sreekar Lanka, Muskan Agarwal, Anushka IyerDec 9, 2022Dec 9, 2022