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07/07/2022
Diagnosing and Remedying Shot Sensitivity with Cosine Few-Shot Learners
Few-shot recognition involves training an image classifier to distinguis...
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06/21/2022
NorBERT: NetwOrk Representations through BERT for Network Analysis and Management
Deep neural network models have been very successfully applied to Natura...
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12/02/2020
Fine-Grained Few-Shot Classification with Feature Map Reconstruction Networks
In this paper we reformulate few-shot classification as a reconstruction...
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11/25/2020
Augmentation-Interpolative AutoEncoders for Unsupervised Few-Shot Image Generation
We aim to build image generation models that generalize to new domains f...
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04/01/2020
Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition
Few-shot, fine-grained classification requires a model to learn subtle, ...
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04/09/2019
