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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

Coverage-based Example Selection for In-Context Learning EMNLP 2023
In-Context Learning for Text Classification with Many Labels EMNLP 2023
Task Residual for Tuning Vision-Language Models CVPR 2023
MoLo: Motion-Augmented Long-Short Contrastive Learning for Few-Shot Action Recognition CVPR 2023
Diversity-Aware Meta Visual Prompting CVPR 2023
Rethinking Few-Shot Medical Segmentation: A Vector Quantization View CVPR 2023
Train-Once-for-All Personalization CVPR 2023
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning With Hyperspherical Embeddings CVPR 2023
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation CVPR 2023
CLIP2: Contrastive Language-Image-Point Pretraining From Real-World Point Cloud Data CVPR 2023
Hint-Aug: Drawing Hints From Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning CVPR 2023
Graph of Circuits with GNN for Exploring the Optimal Design Space NIPS 2023
Towards Last-layer Retraining for Group Robustness with Fewer Annotations NIPS 2023
Human-like Few-Shot Learning via Bayesian Reasoning over Natural Language NIPS 2023
Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration NIPS 2023
Improving neural network representations using human similarity judgments NIPS 2023
Norm-guided latent space exploration for text-to-image generation NIPS 2023
Focus Your Attention when Few-Shot Classification NIPS 2023
Exploring Diverse In-Context Configurations for Image Captioning NIPS 2023
ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion NIPS 2023
Meta-Adapter: An Online Few-shot Learner for Vision-Language Model NIPS 2023
Domain Re-Modulation for Few-Shot Generative Domain Adaptation NIPS 2023
The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification NIPS 2023
Alignment with human representations supports robust few-shot learning NIPS 2023
AmadeusGPT: a natural language interface for interactive animal behavioral analysis NIPS 2023