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Few-Shot Learning

1,840 papers

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Papers

Evaluating Prompting Strategies for Grammatical Error Correction Based on Language Proficiency COLING 2024 Evaluating the fairness of task-adaptive pretraining on unlabeled test data before few-shot text classification EMNLP 2024 Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMs EMNLP 2024 Ex3: Automatic Novel Writing by Extracting, Excelsior and Expanding ACL 2024 Exact Fusion via Feature Distribution Matching for Few-shot Image Generation CVPR 2024 Expanding Hyperspherical Space for Few-Shot Class-Incremental Learning WACV 2024 Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting IJCAI 2024 Exploring In-Context Learning of Textless Speech Language Model for Speech Classification Tasks Interspeech 2024 Exploring One-Shot Semi-supervised Federated Learning with Pre-trained Diffusion Models AAAI 2024 Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning Through Trap Problems EMNLP 2024 Extracting and Summarizing Evidence of Suicidal Ideation in Social Media Contents Using Large Language Models EACL 2024 FastGAS: Fast Graph-based Annotation Selection for In-Context Learning ACL 2024 FeatWalk: Enhancing Few-Shot Classification through Local View Leveraging AAAI 2024 Few-Shot Adversarial Prompt Learning on Vision-Language Models NeurIPS 2024 Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark NeurIPS 2024 Few-shot clinical entity recognition in English, French and Spanish: masked language models outperform generative model prompting EMNLP 2024 Few-Shot Detection of Machine-Generated Text using Style Representations ICLR 2024 Few-shot Dialogue Strategy Learning for Motivational Interviewing via Inductive Reasoning ACL 2024 Few-Shot Diffusion Models Escape the Curse of Dimensionality NeurIPS 2024 Few-Shot Generative Model for Skeleton-Based Human Action Synthesis Using Cross-Domain Adversarial Learning WACV 2024 Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI AAAI 2024 Few-Shot Learning via Repurposing Ensemble of Black-Box Models AAAI 2024 Few-Shot Neural Radiance Fields under Unconstrained Illumination AAAI 2024 Few-Shot Object Detection with Foundation Models CVPR 2024 Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection AAAI 2024