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Deep Learning
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Few-Shot Learning
618 directly classified papers
Papers per year
2013: 1
2016: 1
2017: 7
2018: 9
2019: 41
2020: 55
2021: 79
2022: 113
2023: 113
2024: 104
2025: 91
2026: 4
Papers
Low-Resource Cross-Lingual Summarization through Few-Shot Learning with Large Language Models
ACL 2024
Vision Transformer Off-the-Shelf: A Surprising Baseline for Few-Shot Class-Agnostic Counting
AAAI 2024
Self-Prompt Mechanism for Few-Shot Image Recognition
AAAI 2024
Few-shot Question Generation for Reading Comprehension
ACL 2024
CGMGM: A Cross-Gaussian Mixture Generative Model for Few-Shot Semantic Segmentation
AAAI 2024
Generating Images of Rare Concepts Using Pre-trained Diffusion Models
AAAI 2024
Task-Disruptive Background Suppression for Few-Shot Segmentation
AAAI 2024
Cross-Layer and Cross-Sample Feature Optimization Network for Few-Shot Fine-Grained Image Classification
AAAI 2024
Large Language Models are Few-Shot Training Example Generators: A Case Study in Fallacy Recognition
ACL 2024
Adversarial Learning for Multi-Lingual Entity Linking
ACL 2024
Detect Any Keypoints: An Efficient Light-Weight Few-Shot Keypoint Detector
AAAI 2024
DeepCalliFont: Few-Shot Chinese Calligraphy Font Synthesis by Integrating Dual-Modality Generative Models
AAAI 2024
M2SD:Multiple Mixing Self-Distillation for Few-Shot Class-Incremental Learning
AAAI 2024
Label-Efficient Few-Shot Semantic Segmentation with Unsupervised Meta-Training
AAAI 2024
Bi-level Learning of Task-Specific Decoders for Joint Registration and One-Shot Medical Image Segmentation
CVPR 2024
Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI
AAAI 2024
Few-Shot Neural Radiance Fields under Unconstrained Illumination
AAAI 2024
TEII: Think, Explain, Interact and Iterate with Large Language Models to Solve Cross-lingual Emotion Detection
ACL 2024
FastGAS: Fast Graph-based Annotation Selection for In-Context Learning
ACL 2024
MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation
AAAI 2024
AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models
AAAI 2024
Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding
CVPR 2024
Learning with Unreliability: Fast Few-shot Voxel Radiance Fields with Relative Geometric Consistency
CVPR 2024
No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation
CVPR 2024
GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task
CVPR 2023
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