15 citations · 16 across the 6 of their papers we have counts for
3 papers · 1 filter
When Can Memorization Improve Fairness?
Bob Pepin, Christian Igel, Raghavendra Selvan
We study to which extent additive fairness metrics (statistical parity, equal opportunity and equalized odds) can be influenced in a multi-class classification problem by memorizin…
BMRS: Bayesian Model Reduction for Structured Pruning
Dustin Wright, Christian Igel, Raghavendra Selvan
Modern neural networks are often massively overparameterized leading to high compute costs during training and at inference. One effective method to improve both the compute and en…
PePR: Performance Per Resource Unit as a Metric to Promote Small-Scale Deep Learning in Medical Image Analysis
Raghavendra Selvan, Bob Pepin, Christian Igel +2
The recent advances in deep learning (DL) have been accelerated by access to large-scale data and compute. These large-scale resources have been used to train progressively larger…