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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
A3: Few-shot Prompt Learning of Unlearnable Examples with Cross-Modal Adversarial Feature Alignment
CVPR 2025
UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning
CVPR 2025
Dual-Agent Optimization framework for Cross-Domain Few-Shot Segmentation
CVPR 2025
OSLoPrompt: Bridging Low-Supervision Challenges and Open-Set Domain Generalization in CLIP
CVPR 2025
Mimic In-Context Learning for Multimodal Tasks
CVPR 2025
ImageGen-CoT: Enhancing Text-to-Image In-context Learning with Chain-of-Thought Reasoning
ICCV 2025
Teaching VLMs to Localize Specific Objects from In-context Examples
ICCV 2025
FIND: Few-Shot Anomaly Inspection with Normal-Only Multi-Modal Data
ICCV 2025
ImagineFSL: Self-Supervised Pretraining Matters on Imagined Base Set for VLM-based Few-shot Learning
CVPR 2025
Hierarchical Material Recognition from Local Appearance
ICCV 2025
Rethinking Few-Shot Adaptation of Vision-Language Models in Two Stages
CVPR 2025
Logits DeConfusion with CLIP for Few-Shot Learning
CVPR 2025
Few-Shot Multilingual Coreference Resolution Using Long-Context Large Language Models
EMNLP 2025
Zero-Shot Cross-Lingual Transfer using Prefix-Based Adaptation
EMNLP 2025
A Federated Approach to Few-Shot Hate Speech Detection for Marginalized Communities
EMNLP 2025
GRAD: Generative Retrieval-Aligned Demonstration Sampler for Efficient Few-Shot Reasoning
EMNLP 2025
MultiLingPoT: Boosting Mathematical Reasoning in LLMs through Multilingual Program Integration
EMNLP 2025
Rule-Guided Extraction: A Hierarchical Rule Optimization Framework for Document-Level Event Argument Extraction
EMNLP 2025
Inductive Reasoning on Few-Shot Knowledge Graphs with Task-Aware Language Models
EMNLP 2025
DICP: Deep In-Context Prompt for Event Causality Identification
EMNLP 2025
ExpertGenQA: Open-ended QA generation in Specialized Domains
EMNLP 2025
Revealing the Inherent Instructability of Pre-Trained Language Models
EMNLP 2025
Spotlighter: Revisiting Prompt Tuning from a Representative Mining View
EMNLP 2025
seqBench: A Tunable Benchmark to Quantify Sequential Reasoning Limits of LLMs
EMNLP 2025
Data-Efficient Automatic Prompt Optimization for Memory-Enhanced Conversational Agents
EMNLP 2025
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