few-shot learning

Meta-Learning for Few-Shot NMT Adaptation ACL 2020 Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs Interspeech 2020 Meta-learning from Tasks with Heterogeneous Attribute Spaces NeurIPS 2020 Meta-Learning of Neural Architectures for Few-Shot Learning CVPR 2020 Meta-Learning with Adaptive Hyperparameters NeurIPS 2020 Meta-Learning without Memorization ICLR 2020 Meta-Learning with Shared Amortized Variational Inference ICML 2020 Meta-Learning with Warped Gradient Descent ICLR 2020 MetaLight: Value-Based Meta-Reinforcement Learning for Traffic Signal Control AAAI 2020 METAL: Minimum Effort Temporal Activity Localization in Untrimmed Videos CVPR 2020 MetaPix: Few-Shot Video Retargeting ICLR 2020 Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies ICLR 2020 Meta Variance Transfer: Learning to Augment from the Others ICML 2020 MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few Images CVPR 2020 M-NAS: Meta Neural Architecture Search AAAI 2020 Modality-Transferable Emotion Embeddings for Low-Resource Multimodal Emotion Recognition AACL 2020 Modular Meta-Learning with Shrinkage NeurIPS 2020 Multi-attention Meta Learning for Few-shot Fine-grained Image Recognition IJCAI 2020 Multi-Channel Convolutional Neural Networks with Adversarial Training for Few-Shot Relation Classification (Student Abstract) AAAI 2020 Multi-Domain Learning for Accurate and Few-Shot Color Constancy CVPR 2020 Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs EMNLP 2020 Neural Snowball for Few-Shot Relation Learning AAAI 2020 Neural Stored-program Memory ICLR 2020 Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding NeurIPS 2020 One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL NeurIPS 2020