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06/26/2023
ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion
Prototype-based meta-learning has emerged as a powerful technique for ad...
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06/16/2023
Multi-Label Meta Weighting for Long-Tailed Dynamic Scene Graph Generation
This paper investigates the problem of scene graph generation in videos ...
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06/08/2023
EMO: Episodic Memory Optimization for Few-Shot Meta-Learning
Few-shot meta-learning presents a challenge for gradient descent optimiz...
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05/17/2023
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks
Meta-learning algorithms are able to learn a new task using previously l...
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03/31/2023
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail
Modern image classifiers perform well on populated classes, while degrad...
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12/15/2021
Hierarchical Variational Memory for Few-shot Learning Across Domains
Neural memory enables fast adaptation to new tasks with just a few train...
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06/05/2021
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation
A critical challenge faced by supervised word sense disambiguation (WSD)...
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05/08/2021
MetaKernel: Learning Variational Random Features with Limited Labels
Few-shot learning deals with the fundamental and challenging problem of ...
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10/20/2020
Learning to Learn Variational Semantic Memory
In this paper, we introduce variational semantic memory into meta-learni...
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07/15/2020
Learning to Learn with Variational Information Bottleneck for Domain Generalization
Domain generalization models learn to generalize to previously unseen do...
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06/11/2020