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Found 6 papers, 1 papers with code
Unsupervised Accuracy Estimation of Deep Visual Models using Domain-Adaptive Adversarial Perturbation without Source Samples
Deploying deep visual models can lead to performance drops due to the discrepancies between source and target distributions.
Self-Supervised Contrastive Representation Learning for 3D Mesh Segmentation
3D deep learning is a growing field of interest due to the vast amount of information stored in 3D formats.
Analytic Mutual Information in Bayesian Neural Networks
Mutual information is an example of an uncertainty measure in a Bayesian neural network to quantify epistemic uncertainty.
PatchNet: Unsupervised Object Discovery based on Patch Embedding
Key to this approach is the pattern space, a latent space of patterns that represents all possible sub-images of the given image data.
Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle
The info-max learning principle maximizing mutual information such as BALD has been successful and widely adapted in various active learning applications.
Highly Efficient Representation and Active Learning Framework and Its Application to Imbalanced Medical Image Classification
We propose a highly data-efficient active learning framework for image classification.
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