Few-Shot Learning
2,681 papers
Papers per year
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Papers
In-Context Learning for Text Classification with Many Labels
EMNLP 2023
Incremental-DETR: Incremental Few-Shot Object Detection via Self-Supervised Learning
AAAI 2023
Infusing Hierarchical Guidance into Prompt Tuning: A Parameter-Efficient Framework for Multi-level Implicit Discourse Relation Recognition
ACL 2023
Instruction Induction: From Few Examples to Natural Language Task Descriptions
ACL 2023
Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis
ACL 2023
Interval Bound Interpolation for Few-shot Learning with Few Tasks
ICML 2023
Intra- and Inter-Cellular Awareness for 3D Neuron Tracking and Segmentation in Large-Scale Connectomics
MIDL 2023
Is ChatGPT a General-Purpose Natural Language Processing Task Solver?
EMNLP 2023
Is ChatGPT a Good Teacher Coach? Measuring Zero-Shot Performance For Scoring and Providing Actionable Insights on Classroom Instruction
ACL 2023
Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training
ICCV 2023
IS SYNTHETIC DATA FROM GENERATIVE MODELS READY FOR IMAGE RECOGNITION?
ICLR 2023
JASMINE: Arabic GPT Models for Few-Shot Learning
EMNLP 2023
K-hop neighbourhood regularization for few-shot learning on graphs: A case study of text classification
EACL 2023
KnowComp Submission for WMT23 Word-Level AutoCompletion Task
EMNLP 2023
Knowing What To Label for Few Shot Microscopy Image Cell Segmentation
WACV 2023
Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models
ICCV 2023
Knowledge Combination To Learn Rotated Detection Without Rotated Annotation
CVPR 2023
Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning
EMNLP 2023
Language Models are Weak Learners
NeurIPS 2023
Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning
NeurIPS 2023
Language Models Get a Gender Makeover: Mitigating Gender Bias with Few-Shot Data Interventions
ACL 2023
Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning
NeurIPS 2023
Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning
ACL 2023
Large Language Models Can Self-Improve
EMNLP 2023
LASP: Text-to-Text Optimization for Language-Aware Soft Prompting of Vision & Language Models
CVPR 2023