conftrace_

few-shot learning

3390 papers

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Also known as

ICL FSL FSAS FSED FSOD FSSL FSR FSC FFG FSAC FEW-SHOT FSCD FSIG FLAD FSCIL FSS FSRE FSIL CDFSL FS-XLT

Co-occurring keywords

large language model (12755) zero-shot learning (3637) transfer learning (5442) in-context learning (1369) text classification (6776) domain adaptation (4578) prompt engineering (1128) language model (4573) representation learning (6174) contrastive learning (3979)

Papers

Meta-Learning with Adjoint Methods AISTATS 2023

Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification AISTATS 2023

TabLLM: Few-shot Classification of Tabular Data with Large Language Models AISTATS 2023

N-Shot Benchmarking of Whisper on Diverse Arabic Speech Recognition INTERSPEECH 2023

Learning to Learn from Corrupted Data for Few-Shot Learning IJCAI 2023

On Conditional and Compositional Language Model Differentiable Prompting IJCAI 2023

Genetic Prompt Search via Exploiting Language Model Probabilities IJCAI 2023

NutriAI: AI-Powered Child Malnutrition Assessment in Low-Resource Environments IJCAI 2023

Learning an Explicit Hyper-parameter Prediction Function Conditioned on Tasks JMLR 2023

Adversarial Robustness of Prompt-based Few-Shot Learning for Natural Language Understanding ACL 2023

Domain-specific Attention with Distributional Signatures for Multi-Domain End-to-end Task-Oriented Dialogue ACL 2023

Task-adaptive Label Dependency Transfer for Few-shot Named Entity Recognition ACL 2023

Universal Information Extraction with Meta-Pretrained Self-Retrieval ACL 2023

Coarse-to-fine Few-shot Learning for Named Entity Recognition ACL 2023

Prompt to be Consistent is Better than Self-Consistent? Few-Shot and Zero-Shot Fact Verification with Pre-trained Language Models ACL 2023

Meta-training with Demonstration Retrieval for Efficient Few-shot Learning ACL 2023

Distilling Reasoning Capabilities into Smaller Language Models ACL 2023

MTCue: Learning Zero-Shot Control of Extra-Textual Attributes by Leveraging Unstructured Context in Neural Machine Translation ACL 2023

What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning ACL 2023

CoAug: Combining Augmentation of Labels and Labelling Rules ACL 2023

Alleviating Exposure Bias via Multi-level Contrastive Learning and Deviation Simulation in Abstractive Summarization ACL 2023

LMentry: A Language Model Benchmark of Elementary Language Tasks ACL 2023

Disfluency Generation for More Robust Dialogue Systems ACL 2023

Few-shot Joint Multimodal Aspect-Sentiment Analysis Based on Generative Multimodal Prompt ACL 2023

Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation ACL 2023