Few-Shot Learning

Meta-LMTC: Meta-Learning for Large-Scale Multi-Label Text Classification EMNLP 2021 Minimal Supervision for Morphological Inflection EMNLP 2021 Multi-Label Few-Shot Learning for Aspect Category Detection ACL 2021 Multi-label Few-shot Learning with Semantic Inference (Student Abstract) AAAI 2021 Multilingual and cross-lingual document classification: A meta-learning approach EACL 2021 Multimodal Prototypical Networks for Few-Shot Learning WACV 2021 Mutual CRF-GNN for Few-Shot Learning CVPR 2021 Neural Data-to-Text Generation with LM-based Text Augmentation EACL 2021 Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose NeurIPS 2021 On Data Efficiency of Meta-learning AISTATS 2021 On Episodes, Prototypical Networks, and Few-Shot Learning NeurIPS 2021 On sensitivity of meta-learning to support data NeurIPS 2021 On the Importance of Distractors for Few-Shot Classification ICCV 2021 Open Aspect Target Sentiment Classification with Natural Language Prompts EMNLP 2021 OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in an Open World CVPR 2021 ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition ICCV 2021 Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks ACL 2021 Parameterless Transductive Feature Re-representation for Few-Shot Learning ICML 2021 Pareto Self-Supervised Training for Few-Shot Learning CVPR 2021 Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning AAAI 2021 Partially Observed Exchangeable Modeling ICML 2021 Partner-Assisted Learning for Few-Shot Image Classification ICCV 2021 Penalty Method for Inversion-Free Deep Bilevel Optimization ACML 2021 Personalized Adaptive Meta Learning for Cold-start User Preference Prediction AAAI 2021 Phoneme Recognition Through Fine Tuning of Phonetic Representations: A Case Study on Luhya Language Varieties Interspeech 2021