8 citations · 18 across the 12 of their papers we have counts for
4 papers · 1 filter
Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models
Nishad Singhi, Jae Myung Kim, Karsten Roth +1
Concept Bottleneck Models (CBMs) ground image classification on human-understandable concepts to allow for interpretable model decisions. Crucially, the CBM design inherently allow…
Likelihood Annealing: Fast Calibrated Uncertainty for Regression
Uddeshya Upadhyay, Jae Myung Kim, Cordelia Schmidt +2
Recent advances in deep learning have shown that uncertainty estimation is becoming increasingly important in applications such as medical imaging, natural language processing, and…
REST: Performance Improvement of a Black Box Model via RL-based Spatial Transformation
Jae Myung Kim, Hyungjin Kim, Chanwoo Park +1
In recent years, deep neural networks (DNN) have become a highly active area of research, and shown remarkable achievements on a variety of computer vision tasks. DNNs, however, ar…
Sampling-based Bayesian Inference with gradient uncertainty
Chanwoo Park, Jae Myung Kim, Seok Hyeon Ha +1
Deep neural networks(NNs) have achieved impressive performance, often exceed human performance on many computer vision tasks. However, one of the most challenging issues that still…