51 citations · 64 across the 8 of their papers we have counts for
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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…
cs.CV2022★ 6 cited
Robustifying the Multi-Scale Representation of Neural Radiance Fields
Nishant Jain, Suryansh Kumar, Luc Van Gool
Neural Radiance Fields (NeRF) recently emerged as a new paradigm for object representation from multi-view (MV) images. Yet, it cannot handle multi-scale (MS) images and camera pos…