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Found 2 papers, 2 papers with code
Beyond Image-Text Matching: Verb Understanding in Multimodal Transformers Using Guided Masking
The dominant probing approaches rely on the zero-shot performance of image-text matching tasks to gain a finer-grained understanding of the representations learned by recent multimodal image-language transformer models.
SLAW: Scaled Loss Approximate Weighting for Efficient Multi-Task Learning
The best MTL optimization methods require individually computing the gradient of each task's loss function, which impedes scalability to a large number of tasks.
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