Few-Shot Learning
1,840 papers
Papers per year
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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