conftrace_

few-shot learning

3398 papers

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Also known as

FSL FEW-SHOT

Co-occurring keywords

large language model (13587) zero-shot learning (3650) transfer learning (5449) in-context learning (1405) text classification (6793) domain adaptation (4595) prompt engineering (1135) representation learning (6206) language model (4599) contrastive learning (4032)

Papers

Anchoring Fine-tuning of Sentence Transformer with Semantic Label Information for Efficient Truly Few-shot Classification EMNLP 2023

Mitigating the Effect of Incidental Correlations on Part-based Learning NIPS 2023

Episodic Multi-Task Learning with Heterogeneous Neural Processes NIPS 2023

LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning NIPS 2023

AdaSent: Efficient Domain-Adapted Sentence Embeddings for Few-Shot Classification EMNLP 2023

Continual Dialogue State Tracking via Example-Guided Question Answering EMNLP 2023

Unifying Cross-Lingual Transfer across Scenarios of Resource Scarcity EMNLP 2023

A Tale of Pronouns: Interpretability Informs Gender Bias Mitigation for Fairer Instruction-Tuned Machine Translation EMNLP 2023

The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning EMNLP 2023

BLESS: Benchmarking Large Language Models on Sentence Simplification EMNLP 2023

SAGEViz: SchemA GEneration and Visualization EMNLP 2023

s-Adaptive Decoupled Prototype for Few-Shot Object Detection ICCV 2023

Representative Demonstration Selection for In-Context Learning with Two-Stage Determinantal Point Process EMNLP 2023

ProtoShotXAI: Using Prototypical Few-Shot Architecture for Explainable AI JMLR 2023

Fine-Tuned CLIP Models Are Efficient Video Learners CVPR 2023

GEMS: Generating Efficient Meta-Subnets WACV 2023

Multi-Predict: Few Shot Predictors For Efficient Neural Architecture Search AUTOML 2023

Meta-Learning for Fast Model Recommendation in Unsupervised Multivariate Time Series Anomaly Detection AUTOML 2023

Self-Supervised Representation Learning for CAD CVPR 2023

Bi-Level Meta-Learning for Few-Shot Domain Generalization CVPR 2023

SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene CVPR 2023

GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task CVPR 2023

RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction EMNLP 2023

Transductive Few-Shot Learning With Prototype-Based Label Propagation by Iterative Graph Refinement CVPR 2023

Enhancing Low-resource Fine-grained Named Entity Recognition by Leveraging Coarse-grained Datasets EMNLP 2023