10 citations · 14 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 10 cited
Bayesian Active Learning for Discrete Latent Variable Models
Aditi Jha, Zoe C. Ashwood, Jonathan W. Pillow
Active learning seeks to reduce the amount of data required to fit the parameters of a model, thus forming an important class of techniques in modern machine learning. However, pas…
q-bio.NC2020★ 3 cited
Extracting low-dimensional psychological representations from convolutional neural networks
Aditi Jha, Joshua Peterson, Thomas L. Griffiths
Deep neural networks are increasingly being used in cognitive modeling as a means of deriving representations for complex stimuli such as images. While the predictive power of thes…
q-bio.NC2019★ 1 cited
Do Deep Neural Networks Model Nonlinear Compositionality in the Neural Representation of Human-Object Interactions?
Aditi Jha, Sumeet Agarwal
Visual scene understanding often requires the processing of human-object interactions. Here we seek to explore if and how well Deep Neural Network (DNN) models capture features sim…