most citedSelective classification using a robust meta-learning approach

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cs.LG2024

Improving Generalization via Meta-Learning on Hard Samples

Nishant Jain, Arun S. Suggala, Pradeep Shenoy

Learned reweighting (LRW) approaches to supervised learning use an optimization criterion to assign weights for training instances, in order to maximize performance on a representa…

cs.LG2022★ 1 cited

Selective classification using a robust meta-learning approach

Nishant Jain, Karthikeyan Shanmugam, Pradeep Shenoy

Predictive uncertainty-a model's self awareness regarding its accuracy on an input-is key for both building robust models via training interventions and for test-time applications…

cs.LG2022

Instance-Conditional Timescales of Decay for Non-Stationary Learning

Nishant Jain, Pradeep Shenoy

Slow concept drift is a ubiquitous, yet under-studied problem in practical machine learning systems. In such settings, although recent data is more indicative of future data, naive…