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Found 4 papers, 1 papers with code
SAGE: Saliency-Guided Mixup with Optimal Rearrangements
For image classification, the most popular data augmentation techniques range from simple photometric and geometrical transformations, to more complex methods that use visual saliency to craft new training examples.
Uncertainty-based Cross-Modal Retrieval with Probabilistic Representations
Probabilistic embeddings have proven useful for capturing polysemous word meanings, as well as ambiguity in image matching.
Probabilistic Multimodal Representation Learning
Learning multimodal representations is a requirement for many tasks such as image--caption retrieval.
How coherent are neural models of coherence?
Despite the recent advances in coherence modelling, most such models including state-of-the-art neural ones, are evaluated on either contrived proxy tasks such as the standard order discrimination benchmark, or tasks that require special expert annotation.
