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Found 5 papers, 1 papers with code
GTA: Guided Transfer of Spatial Attention from Object-Centric Representations
Through experimental analysis using attention maps in ViT, we observe that the rich representations deteriorate when trained on a small dataset.
Rethinking Evaluation Protocols of Visual Representations Learned via Self-supervised Learning
Linear probing (LP) (and $k$-NN) on the upstream dataset with labels (e. g., ImageNet) and transfer learning (TL) to various downstream datasets are commonly employed to evaluate the quality of visual representations learned via self-supervised learning (SSL).
Self-Knowledge Distillation with Progressive Refinement of Targets
Hence, it can be interpreted within a framework of knowledge distillation as a student becomes a teacher itself.
Ranked #1 on
Multimodal Machine Translation
on Multi30K
(BLUE (DE-EN) metric)
Propagated Perturbation of Adversarial Attack for well-known CNNs: Empirical Study and its Explanation
Deep Neural Network based classifiers are known to be vulnerable to perturbations of inputs constructed by an adversarial attack to force misclassification.
Adversarial Attack
Explainable Artificial Intelligence (XAI)
Bin-wise Temperature Scaling (BTS): Improvement in Confidence Calibration Performance through Simple Scaling Techniques
The prediction reliability of neural networks is important in many applications.
