2.4k citations · 3.2k across the 7 of their papers we have counts for
3 papers · 1 filter
Technical Note on Transcription Factor Motif Discovery from Importance Scores (TF-MoDISco) version 0.5.6.5
Avanti Shrikumar, Katherine Tian, Žiga Avsec +5
TF-MoDISco (Transcription Factor Motif Discovery from Importance Scores) is an algorithm for identifying motifs from basepair-level importance scores computed on genomic sequence d…
Computationally Efficient Measures of Internal Neuron Importance
Avanti Shrikumar, Jocelin Su, Anshul Kundaje
The challenge of assigning importance to individual neurons in a network is of interest when interpreting deep learning models. In recent work, Dhamdhere et al. proposed Total Cond…
A General Framework for Abstention Under Label Shift
Amr M. Alexandari, Anshul Kundaje, Avanti Shrikumar
In safety-critical applications of machine learning, it is often important to abstain from making predictions on low confidence examples. Standard abstention methods tend to be foc…