few-shot learning

Neural Data-to-Text Generation with LM-based Text Augmentation EACL 2021 Neuralizing Regular Expressions for Slot Filling EMNLP 2021 Neural TMDlayer: Modeling Instantaneous Flow of Features via SDE Generators ICCV 2021 Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose NeurIPS 2021 Non-Gaussian Gaussian Processes for Few-Shot Regression NeurIPS 2021 Non-Parametric Few-Shot Learning for Word Sense Disambiguation NAACL 2021 Offline Meta-Reinforcement Learning with Advantage Weighting ICML 2021 OmniNet: Omnidirectional Representations from Transformers ICML 2021 On Data Efficiency of Meta-learning AISTATS 2021 On Episodes, Prototypical Networks, and Few-Shot Learning NeurIPS 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 sensitivity of meta-learning to support data NeurIPS 2021 On the cross-lingual transferability of multilingual prototypical models across NLU tasks ACL 2021 On the Texture Bias for Few-Shot CNN Segmentation WACV 2021 On Training Instance Selection for Few-Shot Neural Text Generation ACL 2021 On Unifying Misinformation Detection NAACL 2021 Open Aspect Target Sentiment Classification with Natural Language Prompts EMNLP 2021 ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition ICCV 2021 Orthogonal Projection Loss ICCV 2021 Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima NeurIPS 2021 Parameterless Transductive Feature Re-representation for Few-Shot Learning ICML 2021 Parameter Prediction for Unseen Deep Architectures NeurIPS 2021