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Few-Shot Learning

2,562 papers

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Papers

H-RDT: Human Manipulation Enhanced Bimanual Robotic Manipulation AAAI 2026

ManiLong-Shot: Interaction-Aware One-Shot Imitation Learning for Long-Horizon Manipulation AAAI 2026

Constrained Best Arm Identification with Tests for Feasibility AAAI 2026

Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models AAAI 2026

F2SST: Frequency-to-Spatial Semantic Transfer for Few-Shot Image Classification AAAI 2026

T3Time: Tri-Modal Time Series Forecasting via Adaptive Multi-Head Alignment and Residual Fusion AAAI 2026

Improving Generalization in Offline Meta-Reinforcement Learning via Cross-task Contexts 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

BOFA: Bridge-Layer Orthogonal Low-Rank Fusion for CLIP-Based Class-Incremental Learning AAAI 2026

Generalizing Vision-Language Models with Dedicated Prompt Guidance AAAI 2026

BRIC: Bridging Kinematic Plans and Physical Control at Test Time AAAI 2026

RMAdapter: Reconstruction-based Multi-Modal Adapter for Vision-Language Models AAAI 2026

Disentangled Generation-Based Prototypical Alignment for Few-Shot Unsupervised Domain Adaptation in Graph-Level Anomaly Detection AAAI 2026

Inverse Optimal Transport for Efficient Adaptation of Vision-Language Models AAAI 2026

Classifier-induced Reciprocal Points for Multi-label Open-set Recognition AAAI 2026

MPA: Multimodal Prototype Augmentation for Few-Shot Learning AAAI 2026

Leveraging Failed Samples: A Few-Shot and Training-Free Framework for Generalized Deepfake Detection AAAI 2026

MedSpaformer: A Transferable Transformer with Multi-Granularity Token Sparsification for Medical Time Series Classification AAAI 2026

Decoupling Template Bias in CLIP: Harnessing Empty Prompts for Enhanced Few-Shot Learning AAAI 2026

MedGR2: Breaking the Data Barrier for Medical Reasoning via Generative Reward Learning AAAI 2026

Rethinking Label Consistency of In-Context Learning: An Implicit Transductive Label Propagation Perspective AAAI 2026

Scaling Towards the Information Boundary of Instructions through Data Synthesizing AAAI 2026

MedS³: Towards Medical Slow Thinking with Self-Evolved Soft Dual-sided Process Supervision AAAI 2026

Beyond Plain Demos: A Demo-Centric Anchoring Paradigm for In-Context Learning in Alzheimer’s Disease Detection AAAI 2026