Contrastive learning is a cornerstone underlying recent progress in
mult...
The vulnerability of machine learning models to spurious correlations ha...
Multimodal variational autoencoders (VAEs) have shown promise as efficie...
Multiple data types naturally co-occur when describing real-world phenom...
Learning from different data types is a long-standing goal in machine
le...
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