Meta-Learning

Learning to Attack Real-World Models for Person Re-identification via Virtual-Guided Meta-Learning AAAI 2021 Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification CVPR 2021 Learning to Generate Noise for Multi-Attack Robustness ICML 2021 Learning To Hallucinate Examples From Extrinsic and Intrinsic Supervision ICCV 2021 Learning to Learn Dense Gaussian Processes for Few-Shot Learning NeurIPS 2021 Learning to Learn End-to-End Goal-Oriented Dialog From Related Dialog Tasks EMNLP 2021 Learning-to-learn non-convex piecewise-Lipschitz functions NeurIPS 2021 Learning to Learn Semantic Factors in Heterogeneous Image Classification NAACL 2021 Learning to Learn to be Right for the Right Reasons NAACL 2021 Learning to Purify Noisy Labels via Meta Soft Label Corrector AAAI 2021 Learning to Selectively Learn for Weakly-supervised Paraphrase Generation EMNLP 2021 LRSC: Learning Representations for Subspace Clustering AAAI 2021 Memory Efficient Meta-Learning with Large Images NeurIPS 2021 MetaAlign: Coordinating Domain Alignment and Classification for Unsupervised Domain Adaptation CVPR 2021 MetaAugment: Sample-Aware Data Augmentation Policy Learning AAAI 2021 Meta Batch-Instance Normalization for Generalizable Person Re-Identification CVPR 2021 MetaCorrection: Domain-Aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation CVPR 2021 Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation AAAI 2021 Meta Gradient Adversarial Attack ICCV 2021 MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition CVPR 2021 Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains ACL 2021 Meta Label Correction for Noisy Label Learning AAAI 2021 Meta Learning and Its Applications to Natural Language Processing ACL 2021 Meta-Learning Divergences for Variational Inference AISTATS 2021 Meta-Learning Effective Exploration Strategies for Contextual Bandits AAAI 2021