Few-Shot Learning
2,681 papers
Papers per year
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125
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478
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Papers
ImageGen-CoT: Enhancing Text-to-Image In-context Learning with Chain-of-Thought Reasoning
ICCV 2025
ImagineFSL: Self-Supervised Pretraining Matters on Imagined Base Set for VLM-based Few-shot Learning
CVPR 2025
Implicit Hate Target Span Detection in Zero- and Few-Shot Settings with Selective Sub-Billion Parameter Models
ACL 2025
Implicit In-context Learning
ICLR 2025
Improving Audio Classification by Transitioning from Zero- to Few-Shot
Interspeech 2025
Improving Dialogue State Tracking through Combinatorial Search for In-Context Examples
ACL 2025
Improving Generalization in Meta-Learning via Meta-Gradient Augmentation
IJCAI 2025
Improving Sentiment Analysis for Ukrainian Social Media Code-Switching Data
ACL 2025
In-Context Iterative Policy Improvement for Dynamic Manipulation
CoRL 2025
In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties
EMNLP 2025
In-Context Learning with Long-Context Models: An In-Depth Exploration
NAACL 2025
Incremental Few-Shot Semantic Segmentation via Multi-Level Switchable Visual Prompts
ICCV 2025
Inductive Reasoning on Few-Shot Knowledge Graphs with Task-Aware Language Models
EMNLP 2025
Intent Oriented Contrastive Learning for Sequential Recommendation
AAAI 2025
IRUEX: A Study on Large Language Models Problem-Solving Skills in Iran’s University Entrance Exam
COLING 2025
Iterative Repair with Weak Verifiers for Few-shot Transfer in KBQA with Unanswerability
ACL 2025
It is not a piece of cake for GPT: Explaining Textual Entailment Recognition in the presence of Figurative Language
COLING 2025
It’s All About In-Context Learning! Teaching Extremely Low-Resource Languages to LLMs
EMNLP 2025
Kernel-Aware Graph Prompt Learning for Few-Shot Anomaly Detection
AAAI 2025
Label Set Optimization via Activation Distribution Kurtosis for Zero-Shot Classification with Generative Models
EMNLP 2025
Language Models of Code Are Few-Shot Planners and Reasoners for Multi-Document Summarization with Attribution
AAAI 2025
Large Language Models are Demonstration Pre-Selectors for Themselves
ICML 2025
Learning General-purpose Biomedical Volume Representations using Randomized Synthesis
ICLR 2025
Learning Low-Resource Languages Through NLP-Driven Flashcards: A Case Study of Hokkien in Language Learning Applications
NAACL 2025
Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation
ICLR 2025