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09/07/2023
CDFSL-V: Cross-Domain Few-Shot Learning for Videos
Few-shot video action recognition is an effective approach to recognizin...
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08/24/2023
Preserving Modality Structure Improves Multi-Modal Learning
Self-supervised learning on large-scale multi-modal datasets allows lear...
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07/05/2022
Towards Realistic Semi-Supervised Learning
Deep learning is pushing the state-of-the-art in many computer vision ap...
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07/05/2022
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning
Semi-supervised learning (SSL) is one of the dominant approaches to addr...
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03/28/2022
UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning
Supervised deep learning methods require a large repository of annotated...
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03/01/2021
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning
In many real-world problems, collecting a large number of labeled sample...
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01/15/2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
The recent research in semi-supervised learning (SSL) is mostly dominate...
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04/23/2020
