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few-shot learning

3390 papers

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Also known as

FSL FEW-SHOT

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

Continuous Coordination As a Realistic Scenario for Lifelong Learning ICML 2021
P-INT: A Path-based Interaction Model for Few-shot Knowledge Graph Completion EMNLP 2021
Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation NAACL 2021
AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning WACV 2021
Curvature Generation in Curved Spaces for Few-Shot Learning ICCV 2021
Deep Metric Learning for Open World Semantic Segmentation ICCV 2021
Learned Spatial Representations for Few-Shot Talking-Head Synthesis ICCV 2021
Meta-Attack: Class-Agnostic and Model-Agnostic Physical Adversarial Attack ICCV 2021
Task-Aware Part Mining Network for Few-Shot Learning ICCV 2021
Kernel Methods in Hyperbolic Spaces ICCV 2021
Few-Shot Class-Incremental Learning via Relation Knowledge Distillation AAAI 2021
Demonstration-Conditioned Reinforcement Learning for Few-Shot Imitation ICML 2021
How Well Do Self-Supervised Models Transfer? CVPR 2021
Towards Contextual Learning in Few-Shot Object Classification WACV 2021
Few-shot Font Generation with Localized Style Representations and Factorization AAAI 2021
Neural Data-to-Text Generation with LM-based Text Augmentation EACL 2021
Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language Inference EACL 2021
Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks AAAI 2021
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning ICCV 2021
Relational Embedding for Few-Shot Classification ICCV 2021
Learning Visually Guided Latent Actions for Assistive Teleoperation L4DC 2021
Boosting the Generalization Capability in Cross-Domain Few-Shot Learning via Noise-Enhanced Supervised Autoencoder ICCV 2021
On the Texture Bias for Few-Shot CNN Segmentation WACV 2021
Binocular Mutual Learning for Improving Few-Shot Classification ICCV 2021
Boundary Knowledge Translation based Reference Semantic Segmentation IJCAI 2021