116 citations · 302 across the 14 of their papers we have counts for
4 papers · 1 filter
Bias Reduction via End-to-End Shift Learning: Application to Citizen Science
Di Chen, Carla P. Gomes
Citizen science projects are successful at gathering rich datasets for various applications. However, the data collected by citizen scientists are often biased --- in particular, a…
Understanding Batch Normalization
Johan Bjorck, Carla Gomes, Bart Selman +1
Batch normalization (BN) is a technique to normalize activations in intermediate layers of deep neural networks. Its tendency to improve accuracy and speed up training have establi…
End-to-End Refinement Guided by Pre-trained Prototypical Classifier
Junwen Bai, Zihang Lai, Runzhe Yang +3
Many real-world tasks involve identifying patterns from data satisfying background or prior knowledge. In domains like materials discovery, due to the flaws and biases in raw exper…
End-to-End Learning for the Deep Multivariate Probit Model
Di Chen, Yexiang Xue, Carla P. Gomes
The multivariate probit model (MVP) is a popular classic model for studying binary responses of multiple entities. Nevertheless, the computational challenge of learning the MVP mod…