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Machine Learning
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Few-Shot Learning
1062 directly classified papers
Papers per year
2006: 1
2011: 1
2013: 2
2014: 1
2015: 1
2017: 6
2018: 13
2019: 30
2020: 47
2021: 104
2022: 151
2023: 184
2024: 243
2025: 251
2026: 27
Papers
Multilingual Verbalisation of Knowledge Graphs
EMNLP 2025
MC2: A Minimum-Coverage and Dataset-Agnostic Framework for Compositional Generalization of LLMs on Semantic Parsing
EMNLP 2025
Leveraging External Knowledge Bases: Analyzing Presentation Methods and Their Impact on Model Performance
NAACL 2025
Attention-Guided Prototype Mixing: Diversifying Minority Context on Imbalanced Whole Slide Images Classification Learning
WACV 2024
Hyperbolic vs Euclidean Embeddings in Few-Shot Learning: Two Sides of the Same Coin
WACV 2024
Enhancing Low-Resource Relation Representations through Multi-View Decoupling
AAAI 2024
Letting 3D Guide the Way: 3D Guided 2D Few-Shot Image Classification
WACV 2024
Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning
AAAI 2024
Exploring One-Shot Semi-supervised Federated Learning with Pre-trained Diffusion Models
AAAI 2024
SimpliMix: A Simplified Manifold Mixup for Few-Shot Point Cloud Classification
WACV 2024
Self-Training Based Few-Shot Node Classification by Knowledge Distillation
AAAI 2024
H-ensemble: An Information Theoretic Approach to Reliable Few-Shot Multi-Source-Free Transfer
AAAI 2024
Few-Shot Shape Recognition by Learning Deep Shape-Aware Features
WACV 2024
Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer
AAAI 2024
Phoneme Hallucinator: One-Shot Voice Conversion via Set Expansion
AAAI 2024
Few-Shot Generative Model for Skeleton-Based Human Action Synthesis Using Cross-Domain Adversarial Learning
WACV 2024
Dual-Level Curriculum Meta-Learning for Noisy Few-Shot Learning Tasks
AAAI 2024
Scaling Few-Shot Learning for the Open World
AAAI 2024
A One-Shot Learning Approach To Document Layout Segmentation of Ancient Arabic Manuscripts
WACV 2024
Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning
AAAI 2024
Count What You Want: Exemplar Identification and Few-Shot Counting of Human Actions in the Wild
AAAI 2024
Domain Aligned CLIP for Few-Shot Classification
WACV 2024
VLMimic: Vision Language Models are Visual Imitation Learner for Fine-grained Actions
NIPS 2024
LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP
CVPR 2024
Interactive Visual Task Learning for Robots
AAAI 2024
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