Teaching binary classifiers to contrast their true-class and false-class attention maps during training yields modest out-of-domain generalization gains, but results are inconsistent and lack significance testing.
StarGAN: Unified Gen- erative Adversarial Networks for Multi-Domain Image-to- Image Translation
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Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks
Teaching binary classifiers to contrast their true-class and false-class attention maps during training yields modest out-of-domain generalization gains, but results are inconsistent and lack significance testing.