1 citations · 3 across the 6 of their papers we have counts for
6 papers
ReCo: Reminder Composition Mitigates Hallucinations in Vision-Language Models
Sotirios Panagiotis Chytas, Miso Choi, Hyunwoo J. Kim +1
Vision Language Models (VLMs) show impressive capabilities in integrating and reasoning with both visual and language data. But these models make mistakes. A common finding -- simi…
Concept Bottleneck with Visual Concept Filtering for Explainable Medical Image Classification
Injae Kim, Jongha Kim, Joonmyung Choi +1
Interpretability is a crucial factor in building reliable models for various medical applications. Concept Bottleneck Models (CBMs) enable interpretable image classification by uti…
Unsupervised Visual Representation Learning via Mutual Information Regularized Assignment
Dong Hoon Lee, Sungik Choi, Hyunwoo Kim +1
This paper proposes Mutual Information Regularized Assignment (MIRA), a pseudo-labeling algorithm for unsupervised representation learning inspired by information maximization. We…
Invertible Monotone Operators for Normalizing Flows
Byeongkeun Ahn, Chiyoon Kim, Youngjoon Hong +1
Normalizing flows model probability distributions by learning invertible transformations that transfer a simple distribution into complex distributions. Since the architecture of R…
Sampling-free Uncertainty Estimation in Gated Recurrent Units with Exponential Families
Seong Jae Hwang, Ronak Mehta, Hyunwoo J. Kim +1
There has recently been a concerted effort to derive mechanisms in vision and machine learning systems to offer uncertainty estimates of the predictions they make. Clearly, there a…
Finding Differentially Covarying Needles in a Temporally Evolving Haystack: A Scan Statistics Perspective
Ronak Mehta, Hyunwoo J. Kim, Shulei Wang +3
Recent results in coupled or temporal graphical models offer schemes for estimating the relationship structure between features when the data come from related (but distinct) longi…