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Found 5 papers, 0 papers with code
ProtoFL: Unsupervised Federated Learning via Prototypical Distillation
Federated learning (FL) is a promising approach for enhancing data privacy preservation, particularly for authentication systems.
Connecting Sphere Manifolds Hierarchically for Regularization
This paper considers classification problems with hierarchically organized classes.
Few-shot Visual Reasoning with Meta-analogical Contrastive Learning
While humans can solve a visual puzzle that requires logical reasoning by observing only few samples, it would require training over large amount of data for state-of-the-art deep reasoning models to obtain similar performance on the same task.
Deep Hierarchical-Hyperspherical Learning (DH^2L)
To generate evenly distributed parameters, we constrain them to lie on \emph{hierarchical hyperspheres}.
Deep generative-contrastive networks for facial expression recognition
In this paper, we propose to utilize contrastive representation that embeds a distinctive expressive factor for a discriminative purpose.
Facial Expression Recognition
Facial Expression Recognition (FER)
