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

DETA: Denoised Task Adaptation for Few-Shot Learning ICCV 2023

Learning Cross-Modal Affinity for Referring Video Object Segmentation Targeting Limited Samples ICCV 2023

Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning Paradigm ICCV 2023

E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning ICCV 2023

Prompt-aligned Gradient for Prompt Tuning ICCV 2023

Frequency Guidance Matters in Few-Shot Learning ICCV 2023

SuS-X: Training-Free Name-Only Transfer of Vision-Language Models ICCV 2023

Smoothness Similarity Regularization for Few-Shot GAN Adaptation ICCV 2023

Few Shot Font Generation Via Transferring Similarity Guided Global Style and Quantization Local Style ICCV 2023

Few-shot Dysarthric Speech Recognition with Text-to-Speech Data Augmentation INTERSPEECH 2023

Visually grounded few-shot word acquisition with fewer shots INTERSPEECH 2023

Cross-Lingual Transfer Learning for Phrase Break Prediction with Multilingual Language Model INTERSPEECH 2023

Cross-Lingual Features for Alzheimer’s Dementia Detection from Speech INTERSPEECH 2023

Mitigating Catastrophic Forgetting for Few-Shot Spoken Word Classification Through Meta-Learning INTERSPEECH 2023

Multi-Label Few-Shot ICD Coding as Autoregressive Generation with Prompt AAAI 2023

Compositional Prototypical Networks for Few-Shot Classification AAAI 2023

Evidential Conditional Neural Processes AAAI 2023

Efficient Dynamic Batch Adaptation (Student Abstract) AAAI 2023

Quantify the Political Bias in News Edits: Experiments with Few-Shot Learners (Student Abstract) AAAI 2023

Exploring Tuning Characteristics of Ventral Stream’s Neurons for Few-Shot Image Classification AAAI 2023

Incremental-DETR: Incremental Few-Shot Object Detection via Self-Supervised Learning AAAI 2023

RankDNN: Learning to Rank for Few-Shot Learning AAAI 2023

Parameter-Efficient Model Adaptation for Vision Transformers AAAI 2023

Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from a Conditional Causal Perspective AAAI 2023

Few-Shot 3D Point Cloud Semantic Segmentation via Stratified Class-Specific Attention Based Transformer Network AAAI 2023