few-shot learning

3390 papers

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Also known as

ICL FSL FSAS FSED FSOD FSSL FSR FSC FFG FSAC FEW-SHOT FSCD FSIG FLAD FSCIL FSS FSRE FSIL CDFSL FS-XLT

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

Self-Ensembling Gaussian Splatting for Few-Shot Novel View Synthesis ICCV 2025

HypDAE: Hyperbolic Diffusion Autoencoders for Hierarchical Few-shot Image Generation ICCV 2025

CountSE: Soft Exemplar Open-set Object Counting ICCV 2025

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields ICCV 2025

AIRA: Activation-Informed Low-Rank Adaptation for Large Models ICCV 2025

Lark: Low-Rank Updates After Knowledge Localization for Few-shot Class-Incremental Learning ICCV 2025

Task-Specific Preconditioner for Cross-Domain Few-Shot Learning AAAI 2025

Q-MAML: Quantum Model-Agnostic Meta-Learning for Variational Quantum Algorithms AAAI 2025

FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation AAAI 2025

Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer AAAI 2025

Taylor Series-Inspired Local Structure Fitting Network for Few-shot Point Cloud Semantic Segmentation AAAI 2025

Deconfound Semantic Shift and Incompleteness in Incremental Few-shot Semantic Segmentation AAAI 2025

Few-Shot Domain Adaptation for Learned Image Compression AAAI 2025

Twofold Debiasing Enhances Fine-Grained Learning with Coarse Labels AAAI 2025

All You Need in Knowledge Distillation Is a Tailored Coordinate System AAAI 2025

MVREC: A General Few-shot Defect Classification Model Using Multi-View Region-Context AAAI 2025

Adversity-aware Few-shot Named Entity Recognition via Augmentation Learning AAAI 2025

Pseudo Informative Episode Construction for Few-Shot Class-Incremental Learning AAAI 2025

HEP-NAS: Towards Efficient Few-shot Neural Architecture Search via Hierarchical Edge Partitioning AAAI 2025

Memory-Reduced Meta-Learning with Guaranteed Convergence AAAI 2025

BridG MT: Enhancing LLMs’ Machine Translation Capabilities with Sentence Bridging and Gradual MT ACL 2025

Exploring In-context Example Generation for Machine Translation ACL 2025

Revisiting In-Context Learning with Long Context Language Models ACL 2025

Exploring LLM Priming Strategies for Few-Shot Stance Classification ACL 2025

ORPP: Self-Optimizing Role-playing Prompts to Enhance Language Model Capabilities EMNLP 2025