224 citations · 410 across the 13 of their papers we have counts for
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cs.IR2021
DiPS: Differentiable Policy for Sketching in Recommender Systems
Aritra Ghosh, Saayan Mitra, Andrew Lan
In sequential recommender system applications, it is important to develop models that can capture users' evolving interest over time to successfully recommend future items that the…
cs.LG2021
Do We Really Need Gold Samples for Sample Weighting Under Label Noise?
Aritra Ghosh, Andrew Lan
Learning with labels noise has gained significant traction recently due to the sensitivity of deep neural networks under label noise under common loss functions. Losses that are th…