Meta-Learning

Learning to Learn Kernels with Variational Random Features ICML 2020 Learning to Learn Morphological Inflection for Resource-Poor Languages AAAI 2020 Learning to Learn Single Domain Generalization CVPR 2020 Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation EMNLP 2020 Learning to Mutate with Hypergradient Guided Population NeurIPS 2020 Learning to Optimize on SPD Manifolds CVPR 2020 Learning to Select Base Classes for Few-Shot Classification CVPR 2020 Make One-Shot Video Object Segmentation Efficient Again NeurIPS 2020 MATE: Plugging in Model Awareness to Task Embedding for Meta Learning NeurIPS 2020 MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler NeurIPS 2020 Meta-Amortized Variational Inference and Learning AAAI 2020 Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation AAAI 2020 Meta Dropout: Learning to Perturb Latent Features for Generalization ICLR 2020 Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining EMNLP 2020 MetaFuse: A Pre-trained Fusion Model for Human Pose Estimation CVPR 2020 MetaIQA: Deep Meta-Learning for No-Reference Image Quality Assessment CVPR 2020 MetAL: Active Semi-Supervised Learning on Graphs via Meta-Learning ACML 2020 Meta-Learning for Few-Shot NMT Adaptation ACL 2020 Meta-Learning for Generalized Zero-Shot Learning AAAI 2020 Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs Interspeech 2020 Meta-Learning of Neural Architectures for Few-Shot Learning CVPR 2020 Meta-Learning on Graph with Curvature-Based Analysis (Student Abstract) AAAI 2020 Meta-Learning PAC-Bayes Priors in Model Averaging AAAI 2020 Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes NeurIPS 2020 Meta-Learning with Shared Amortized Variational Inference ICML 2020