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few-shot regression

6 papers

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Co-occurring keywords · papers mentioning both

few-shot learning (2) landmark representation (1) geometric equivariance (1) visual counting (1) gan semantics (1) momentum network (1) gan latent space (1) target model (1) trajectory-based learning (1) gradient augmentation (1)

Papers

Cooperative Meta-Learning with Gradient Augmentation UAI 2024 LARGE: Latent-Based Regression Through GAN Semantics CVPR 2022 Meta-Learning with Self-Improving Momentum Target NeurIPS 2022 Learning To Count Everything CVPR 2021 On Equivariant and Invariant Learning of Object Landmark Representations ICCV 2021 Trajectory-Based Meta-Learning for Out-Of-Vocabulary Word Embedding Learning EACL 2021