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

Large Language Models are biased to overestimate profoundness EMNLP 2023

StructGPT: A General Framework for Large Language Model to Reason over Structured Data EMNLP 2023

Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks EMNLP 2023

MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation EMNLP 2023

QA-NatVer: Question Answering for Natural Logic-based Fact Verification EMNLP 2023

IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions EMNLP 2023

Semantic matching for text classification with complex class descriptions EMNLP 2023

Online Constrained Meta-Learning: Provable Guarantees for Generalization NIPS 2023

Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary Data NIPS 2023

Semi-Supervised Domain Generalization with Known and Unknown Classes NIPS 2023

Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks NIPS 2023

Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning NIPS 2023

DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation NIPS 2023

InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding NIPS 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

Perception Test: A Diagnostic Benchmark for Multimodal Video Models NIPS 2023

FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained Models in Few-Shot Learning NIPS 2023

Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach NIPS 2023

ExPT: Synthetic Pretraining for Few-Shot Experimental Design NIPS 2023

Toward Understanding Generative Data Augmentation NIPS 2023

Multi-Head Adapter Routing for Cross-Task Generalization NIPS 2023

SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning NIPS 2023

Meta-AdaM: An Meta-Learned Adaptive Optimizer with Momentum for Few-Shot Learning NIPS 2023