23 citations · 78 across the 20 of their papers we have counts for
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cs.LG2022★ 11 cited
AdaFocal: Calibration-aware Adaptive Focal Loss
Arindam Ghosh, Thomas Schaaf, Matthew R. Gormley
Much recent work has been devoted to the problem of ensuring that a neural network's confidence scores match the true probability of being correct, i.e. the calibration problem. Of…
cs.LG2019★ 11 cited
Towards modular and programmable architecture search
Renato Negrinho, Darshan Patil, Nghia Le +3
Neural architecture search methods are able to find high performance deep learning architectures with minimal effort from an expert. However, current systems focus on specific use-…