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← Learning Paradigms
Artificial Intelligence
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Learning Paradigms
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Few-Shot Learning
2558 directly classified papers
Papers per year
2002: 1
2009: 1
2012: 1
2013: 6
2014: 2
2015: 3
2016: 6
2017: 19
2018: 48
2019: 127
2020: 167
2021: 323
2022: 394
2023: 448
2024: 528
2025: 401
2026: 83
Papers
Dual-Geometry Graph Network: Unifying Local and Global Priors for Few-Shot Learning
AAAI 2026
Divide-and-Conquer Decoupled Network for Cross-Domain Few-Shot Segmentation
AAAI 2026
Generalizable Drug–Target Interaction Prediction via ESM-2 Representations and Progressive Contrastive Curriculum Learning
AAAI 2026
STARS: Self-supervised Tuning for 3D Action Recognition in Skeleton Sequences
WACV 2026
DeepSenseMoE: Harnessing Power of Time Series Foundation Models for Few-Shot Human Activity Recognition
AAAI 2026
DAPrompt: Dual Alignment Prompt of Structure and Semantics for Few-shot Graph Learning
AAAI 2026
Multi-agent In-context Coordination via Decentralized Memory Retrieval
AAAI 2026
Inverse Optimal Transport for Efficient Adaptation of Vision-Language Models
AAAI 2026
A Theory-Inspired Framework for Few-Shot Cross-Modal Sketch Person Re-Identification
AAAI 2026
Stop Mixing Things Up! BISCUIT Teaches Vision-Language Models to Learn New Concepts from Images on the Spot
AAAI 2026
Mitigating the Modality Gap: Few-Shot Out-of-Distribution Detection with Multi-modal Prototypes and Image Bias Estimation
WACV 2026
Spatiotemporal Transformers with Multiple Instance Learning for Label-Efficient Behavioral Analysis in Autism (Student Abstract)
AAAI 2026
Training-Free Few-Shot Segmentation via Vision-Language Guided Prompting
WACV 2026
Libra-MIL: Multimodal Prototypes Stereoscopic Infused with Task-specific Language Priors for Few-shot Whole Slide Image Classification
AAAI 2026
Sea-CLIP: Mining Semantic-Aware Representations for Few-Shot Anomaly Detection with CLIP
WACV 2026
BOFA: Bridge-Layer Orthogonal Low-Rank Fusion for CLIP-Based Class-Incremental Learning
AAAI 2026
Classifier-induced Reciprocal Points for Multi-label Open-set Recognition
AAAI 2026
Decoupling Template Bias in CLIP: Harnessing Empty Prompts for Enhanced Few-Shot Learning
AAAI 2026
Improving Generalization in Offline Meta-Reinforcement Learning via Cross-task Contexts
AAAI 2026
BRIC: Bridging Kinematic Plans and Physical Control at Test Time
AAAI 2026
A Multimodal Framework for Aphasia Severity Classification in Russian
EACL 2026
Can Linguistically Related Languages Guide LLM Translation in Low-Resource Settings?
EACL 2026
Constrained Best Arm Identification with Tests for Feasibility
AAAI 2026
Measuring Linguistic Competence of LLMs on Indigenous Languages of the Americas
EACL 2026
Analogical Structure, Minimal Contextual Cues and Contrastive Distractors: Input Design for Sample-Efficient Linguistic Rule Induction
EACL 2026
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