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cs.LG2023
Memory-efficient Stochastic methods for Memory-based Transformers
Vishwajit Kumar Vishnu, C. Chandra Sekhar
Training Memory-based transformers can require a large amount of memory and can be quite inefficient. We propose a novel two-phase training mechanism and a novel regularization tec…
cs.LG2021
Semi-Supervised Metric Learning: A Deep Resurrection
Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar
Distance Metric Learning (DML) seeks to learn a discriminative embedding where similar examples are closer, and dissimilar examples are apart. In this paper, we address the problem…