
A novel greedy layer-wise sparse representation learning method, IMO, that selects domain-invariant features and key token representations from pre-trained deep transformer encoders to mitigate spurious correlations and improve out-of-distribution text classification performance.


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enhancing-out-of-distribution-text-classification-with-greedy-layer-wise-sparse-representation-learning-for-pre-trained-models


Enhancing Out-of-Distribution Text Classification with Greedy Layer-Wise Sparse Representation Learning for Pre-trained Models
