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few-shot learning

3390 papers

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Also known as

ICL FSL FSAS FSED FSOD FSSL FSR FSC FFG FSAC FEW-SHOT FSCD FSIG FLAD FSCIL FSS FSRE FSIL CDFSL FS-XLT

Co-occurring keywords

large language model (12755) zero-shot learning (3637) transfer learning (5442) in-context learning (1369) text classification (6776) domain adaptation (4578) prompt engineering (1128) language model (4573) representation learning (6174) contrastive learning (3979)

Papers

Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System NAACL 2021
Few-shot Learning for Multi-label Intent Detection AAAI 2021
Partner-Assisted Learning for Few-Shot Image Classification ICCV 2021
ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition ICCV 2021
ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One-Shot ICCV 2021
Pseudo-Loss Confidence Metric for Semi-Supervised Few-Shot Learning ICCV 2021
Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition ICCV 2021
A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection ICCV 2021
Learning Normal Dynamics in Videos With Meta Prototype Network CVPR 2021
FL-MSRE: A Few-Shot Learning based Approach to Multimodal Social Relation Extraction AAAI 2021
Story Centaur: Large Language Model Few Shot Learning as a Creative Writing Tool EACL 2021
Task Cooperation for Semi-Supervised Few-Shot Learning AAAI 2021
Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature Adaptors AAAI 2021
Reinforced Attention for Few-Shot Learning and Beyond CVPR 2021
Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis ICCV 2021
Generative Compositional Augmentations for Scene Graph Prediction ICCV 2021
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation ICML 2021
SketchEmbedNet: Learning Novel Concepts by Imitating Drawings ICML 2021
A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning ICML 2021
Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification ICML 2021
Parameterless Transductive Feature Re-representation for Few-Shot Learning ICML 2021
Recurrent Mask Refinement for Few-Shot Medical Image Segmentation ICCV 2021
H3D-Net: Few-Shot High-Fidelity 3D Head Reconstruction ICCV 2021
`Less Than One'-Shot Learning: Learning N Classes From M < N Samples AAAI 2021
Looking Wider for Better Adaptive Representation in Few-Shot Learning AAAI 2021