Few-Shot Learning

Multi-Label Few-Shot Learning for Aspect Category Detection ACL 2021 Multi-label Few-shot Learning with Semantic Inference (Student Abstract) AAAI 2021 Multilingual Neural Semantic Parsing for Low-Resourced Languages ACL 2021 Multimodal Few-Shot Learning with Frozen Language Models NeurIPS 2021 Multimodal Prototypical Networks for Few-Shot Learning WACV 2021 Multi-Objective Meta Learning NeurIPS 2021 multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning NAACL 2021 Mutual CRF-GNN for Few-Shot Learning CVPR 2021 Nearest Neighbour Few-Shot Learning for Cross-lingual Classification EMNLP 2021 NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation ICLR 2021 Neuralizing Regular Expressions for Slot Filling EMNLP 2021 Neural TMDlayer: Modeling Instantaneous Flow of Features via SDE Generators ICCV 2021 Non-Gaussian Gaussian Processes for Few-Shot Regression NeurIPS 2021 Non-Parametric Few-Shot Learning for Word Sense Disambiguation NAACL 2021 On Data Efficiency of Meta-learning AISTATS 2021 One-Shot Affordance Detection IJCAI 2021 One-Shot Image Recognition Using Prototypical Encoders With Reduced Hubness WACV 2021 On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning ICLR 2021 Online Meta-Learning via Learning with Layer-Distributed Memory NeurIPS 2021 Online probabilistic label trees AISTATS 2021 On Multi-Armed Bandit Designs for Dose-Finding Trials JMLR 2021 On sensitivity of meta-learning to support data NeurIPS 2021 On the cross-lingual transferability of multilingual prototypical models across NLU tasks ACL 2021 On Training Instance Selection for Few-Shot Neural Text Generation ACL 2021 Open Aspect Target Sentiment Classification with Natural Language Prompts EMNLP 2021