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Few-Shot Learning

2,681 papers

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Papers

ConVEx: Data-Efficient and Few-Shot Slot Labeling NAACL 2021 Cross-Domain Few-Shot Classification via Adversarial Task Augmentation IJCAI 2021 CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP EMNLP 2021 CURI: A Benchmark for Productive Concept Learning Under Uncertainty ICML 2021 Curvature Generation in Curved Spaces for Few-Shot Learning ICCV 2021 Data Augmentation for Meta-Learning ICML 2021 Data Efficient Algorithms and Interpretability Requirements for Personalized Assessment of Taskable AI Systems IJCAI 2021 Deep kernels with probabilistic embeddings for small-data learning UAI 2021 DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection ICCV 2021 Delving Deep Into Many-to-Many Attention for Few-Shot Video Object Segmentation CVPR 2021 Demonstration-Conditioned Reinforcement Learning for Few-Shot Imitation ICML 2021 Direct Multimodal Few-Shot Learning of Speech and Images Interspeech 2021 Discovering Dialogue Slots with Weak Supervision ACL 2021 Distinct Label Representations for Few-Shot Text Classification ACL 2021 DReCa: A General Task Augmentation Strategy for Few-Shot Natural Language Inference NAACL 2021 Dynabench: Rethinking Benchmarking in NLP NAACL 2021 Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data NeurIPS 2021 ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-Shot Learning CVPR 2021 Effectively Leveraging Attributes for Visual Similarity ICCV 2021 Effectiveness of Pre-training for Few-shot Intent Classification EMNLP 2021 El Volumen Louder Por Favor: Code-switching in Task-oriented Semantic Parsing EACL 2021 EnSidNet: Enhanced Hybrid Siamese-Deep Network for grouping clinical trials into drug-development pathways NAACL 2021 Entity Concept-enhanced Few-shot Relation Extraction ACL 2021 Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis NAACL 2021 Example-Driven Intent Prediction with Observers NAACL 2021