Self-taught Learning: Image Classification Using Stacked Autoencoders. - Upendra Pratap Singh; Swapnil Chavan; Sahil Hindwani; Krishna Pratap Singh (SocProS (1), 2019)

Spread & Peak Prediction of Covid-19 using ANN and Regression (Workshop Paper). - Anupam Prakash; Piyush Sharma; Indrajeet Kumar Sinha; Upendra Pratap Singh (BigMM, 2020)

Few Shots Learning: Caricature to Image Recognition Using Improved Relation Network. - Rashi Agrawal; Upendra Pratap Singh; Krishna Pratap Singh (CVIP (3), 2020)

Meta-DZSL: a meta-dictionary learning based approach to zero-shot recognition. - Upendra Pratap Singh; Krishna Pratap Singh; Manoj Thakur (Appl. Intell., 2022)

NucNormZSL: nuclear norm-based domain adaptation in zero-shot learning. - Upendra Pratap Singh; Krishna Pratap Singh; Manoj Thakur (Neural Comput. Appl., 2022)

A lightweight relation network for few-shots classification of hyperspectral images. - Anshul Mishra; Upendra Pratap Singh; Krishna Pratap Singh (Neural Comput. Appl., 2023)

A nuclear norm-induced robust and lightweight relation network for few-shots classification of hyperspectral images. - Upendra Pratap Singh; Krishna Pratap Singh; Manoj Thakur (Multim. Tools Appl., 2024)

Meta-DPSTL: meta learning-based differentially private self-taught learning. - Upendra Pratap Singh; Indrajeet Kumar Sinha; Krishna Pratap Singh; Shekhar Verma (Int. J. Mach. Learn. Cybern., 2024)