9 citations · 39 across the 14 of their papers we have counts for
3 papers · 1 filter
Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering
Duy M. H. Nguyen, Hoang Nguyen, Mai T. N. Truong +7
Collecting large-scale medical datasets with fully annotated samples for training of deep networks is prohibitively expensive, especially for 3D volume data. Recent breakthroughs i…
A survey on improving NLP models with human explanations
Mareike Hartmann, Daniel Sonntag
Training a model with access to human explanations can improve data efficiency and model performance on in- and out-of-domain data. Adding to these empirical findings, similarity w…
Interactive Machine Learning for Image Captioning
Mareike Hartmann, Aliki Anagnostopoulou, Daniel Sonntag
We propose an approach for interactive learning for an image captioning model. As human feedback is expensive and modern neural network based approaches often require large amounts…