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cs.CV2025★ 1 cited
Label Smoothing++: Enhanced Label Regularization for Training Neural Networks
Sachin Chhabra, Hemanth Venkateswara, Baoxin Li
Training neural networks with one-hot target labels often results in overconfidence and overfitting. Label smoothing addresses this issue by perturbing the one-hot target labels by…
cs.CV2024★ 2 cited
Domain Adaptation Using Pseudo Labels
Sachin Chhabra, Hemanth Venkateswara, Baoxin Li
In the absence of labeled target data, unsupervised domain adaptation approaches seek to align the marginal distributions of the source and target domains in order to train a class…