Few-Shot Learning

Multi-agent In-context Coordination via Decentralized Memory Retrieval AAAI 2026 NAPP: Noise-Adaptive Prototype Perturbation for Few-Shot Learning WACV 2026 Neuron-Aware Active Few-Shot Learning for LLMs ACL 2026 NeuroRule: Bridging Vision and Logic with Differentiable Rule Induction CVPR 2026 NP-MiSR: Neural Process-based Multi-Interest Learning for Session-Based Recommendation AAAI 2026 PatchEAD: Unifying Industrial Visual Prompting Frameworks for Patch-Exclusive Anomaly Detection WACV 2026 Predict, Prune, Play: Efficient Video Playback Optimization Under Device Diversity and Drift NSDI 2026 Protect to Adapt: Orthogonal Subspace Control with Ranked Negative-Prompt Curriculum for Few-Shot Action Recognition CVPR 2026 R-AVST: Empowering Video-LLMs with Fine-Grained Spatio-Temporal Reasoning in Complex Audio-Visual Scenarios AAAI 2026 Reclaiming Lost Text Layers for Source-Free Cross-Domain Few-Shot Learning CVPR 2026 Reevaluating the Intra-Modal Misalignment Hypothesis in CLIP CVPR 2026 Reflect Then Learn: Active Prompting for Information Extraction Guided by Introspective Confusion AAAI 2026 Remedying Target-Domain Astigmatism for Cross-Domain Few-Shot Object Detection CVPR 2026 Rethinking Label Consistency of In-Context Learning: An Implicit Transductive Label Propagation Perspective AAAI 2026 RFKG-CoT: Relation-Driven Adaptive Hop-count Selection and Few-Shot Path Guidance for Knowledge-Aware QA AAAI 2026 RMAdapter: Reconstruction-based Multi-Modal Adapter for Vision-Language Models AAAI 2026 R-MMA: Enhancing Vision-Language Models with Recurrent Adapters for Few-Shot and Cross-Domain Generalization WACV 2026 SAME: Sparse and Anchored Model Editing for Heterogeneous Incremental Learning under Limited Data CVPR 2026 Scaling Towards the Information Boundary of Instructions through Data Synthesizing AAAI 2026 Sea-CLIP: Mining Semantic-Aware Representations for Few-Shot Anomaly Detection with CLIP WACV 2026 Spatiotemporal Transformers with Multiple Instance Learning for Label-Efficient Behavioral Analysis in Autism (Student Abstract) AAAI 2026 STARS: Self-supervised Tuning for 3D Action Recognition in Skeleton Sequences WACV 2026 Stop Mixing Things Up! BISCUIT Teaches Vision-Language Models to Learn New Concepts from Images on the Spot AAAI 2026 Structured Semantic Information Helps Retrieve Better Examples for In-Context Learning Applied to Few-Shot Relation Extraction ACL 2026 T3Time: Tri-Modal Time Series Forecasting via Adaptive Multi-Head Alignment and Residual Fusion AAAI 2026