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Transferability of Representations Learned using Supervised Contrastive Learning Trained on a Multi-Domain Dataset
Contrastive learning has shown to learn better quality representations than models trained using cross-entropy loss.
Abductive Action Inference
In this paper, we introduce a novel research task known as "abductive action inference" which addresses the question of which actions were executed by a human to reach a specific state shown in a single snapshot.
How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations?
Model robustness is vital for the reliable deployment of machine learning models in real-world applications.
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