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few-shot learning

3398 papers

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Also known as

FSL FEW-SHOT

Co-occurring keywords

large language model (13587) zero-shot learning (3650) transfer learning (5449) in-context learning (1405) text classification (6793) domain adaptation (4595) prompt engineering (1135) representation learning (6206) language model (4599) contrastive learning (4032)

Papers

Question Answering Infused Pre-training of General-Purpose Contextualized Representations ACL 2022
Hybrid Relation Guided Set Matching for Few-Shot Action Recognition CVPR 2022
Few-Shot Head Swapping in the Wild CVPR 2022
Learning Expressive Meta-Representations with Mixture of Expert Neural Processes NIPS 2022
On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning NIPS 2022
Decomposed Meta-Learning for Few-Shot Named Entity Recognition ACL 2022
N-Shot Learning for Augmenting Task-Oriented Dialogue State Tracking ACL 2022
ASCM: An Answer Space Clustered Prompting Method without Answer Engineering ACL 2022
A Generative Language Model for Few-shot Aspect-Based Sentiment Analysis NAACL 2022
Efficient Few-Shot Fine-Tuning for Opinion Summarization NAACL 2022
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference CVPR 2022
Mixed Differential Privacy in Computer Vision CVPR 2022
Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions CVPR 2022
Task-guided Disentangled Tuning for Pretrained Language Models ACL 2022
EICO: Improving Few-Shot Text Classification via Explicit and Implicit Consistency Regularization ACL 2022
Towards Few-shot Entity Recognition in Document Images: A Label-aware Sequence-to-Sequence Framework ACL 2022
Fast Few-shot Debugging for NLU Test Suites ACL 2022
Investigating the Characteristics of a Transformer in a Few-Shot Setup: Does Freezing Layers in RoBERTa Help? EMNLP 2022
Analyzing the Limits of Self-Supervision in Handling Bias in Language EMNLP 2022
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification NIPS 2022
AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels NIPS 2022
Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection NIPS 2022
K-LITE: Learning Transferable Visual Models with External Knowledge NIPS 2022
Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation NIPS 2022
Few-shot Image Generation via Adaptation-Aware Kernel Modulation NIPS 2022