Few-Shot Learning
2,681 papers
Papers per year
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Papers
Adversity-aware Few-shot Named Entity Recognition via Augmentation Learning
AAAI 2025
A Federated Approach to Few-Shot Hate Speech Detection for Marginalized Communities
EMNLP 2025
A Generative Approach at the Instance-Level for Image Segmentation Under Limited Training Data Conditions (Student Abstract)
AAAI 2025
AgentTrek: Agent Trajectory Synthesis via Guiding Replay with Web Tutorials
ICLR 2025
AlphaBorno at BLP-2025 Task 2: Code Generation with Structured Prompts and Execution Feedback
AACL 2025
Analyzing Interview Questions via Bloom’s Taxonomy to Enhance the Design Thinking Process
ACL 2025
AnaToM: A Dataset Generation Framework for Evaluating Theory of Mind Reasoning Toward the Anatomy of Difficulty through Structurally Controlled Story Generation
IJCNLP 2025
AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Feature Space-Guided Inversion
AAAI 2025
An Empirical Study of Federated Prompt Learning for Vision Language Model
IJCAI 2025
AnomalyDINO: Boosting Patch-Based Few-Shot Anomaly Detection with DINOv2
WACV 2025
A Perspective on LLM Data Generation with Few-shot Examples: from Intent to Kubernetes Manifest
ACL 2025
Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction To Generation and Beyond
IJCAI 2025
A Simple-but-Effective Baseline for Training-Free Class-Agnostic Counting
WACV 2025
Aspect-Oriented Summarization for Psychiatric Short-Term Readmission Prediction
EMNLP 2025
ATLANTIS at SemEval-2025 Task 3 : Detecting Hallucinated Text Spans in Question Answering
SemEval 2025
Attraction Diminishing and Distributing for Few-Shot Class-Incremental Learning
CVPR 2025
Attribute-formed Class-specific Concept Space: Endowing Language Bottleneck Model with Better Interpretability and Scalability
CVPR 2025
Auto Encoding Neural Process for Multi-interest Recommendation
AAAI 2025
Automatic Mathematic In-Context Example Generation for LLM Using Multi-Modal Consistency
COLING 2025
Auxiliary Prompt Tuning of Vision-Language Models for Few-Shot Out-of-Distribution Detection
ICCV 2025
BANER: Boundary-Aware LLMs for Few-Shot Named Entity Recognition
COLING 2025
Benchmarking VLMs' Reasoning About Persuasive Atypical Images
WACV 2025
Beyond Demonstrations: Dynamic Vector Construction from Latent Representations
EMNLP 2025
Beyond Output Matching: Bidirectional Alignment for Enhanced In-Context Learning
ACL 2025
Beyond Pixel and Object: Part Feature as Reference for Few-Shot Video Object Segmentation
AAAI 2025