Measure Less, Know More: Self-Supervised Test-Time Feature Acquisition
Recent progress in multimodal, high-dimensional learning has enabled foundation models to process heterogeneous, large-scale data. However, at test time, acquiring all features or modalities can be prohibitively costly and often redundant. Sequentially selecting informative modalities is therefore critical, yet challen...
Eeshaan Jain, L. Bleistein, B. Deplancke et al.
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