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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

FineFMPL: Fine-grained Feature Mining Prompt Learning for Few-Shot Class Incremental Learning IJCAI 2024
OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning CVPR 2024
Generative Multimodal Models are In-Context Learners CVPR 2024
ARC: A Generalist Graph Anomaly Detector with In-Context Learning NIPS 2024
DAVE - A Detect-and-Verify Paradigm for Low-Shot Counting CVPR 2024
Understanding Inverse Scaling and Emergence in Multitask Representation Learning AISTATS 2024
Multi-Attention Based Visual-Semantic Interaction for Few-Shot Learning IJCAI 2024
HANS, are you clever? Clever Hans Effect Analysis of Neural Systems NAACL 2024
LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP CVPR 2024
Can GPT4 Detect Euphemisms across Multiple Languages? NAACL 2024
One-Shot Prompt for Language Variety Identification NAACL 2024
Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts CVPR 2024
Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning NAACL 2024
Few-Shot Adversarial Prompt Learning on Vision-Language Models NIPS 2024
Identifying Self-Disclosures of Use, Misuse and Addiction in Community-based Social Media Posts NAACL 2024
A (More) Realistic Evaluation Setup for Generalisation of Community Models on Malicious Content Detection NAACL 2024
Large Language Models are Good Prompt Learners for Low-Shot Image Classification CVPR 2024
On Scaling Up a Multilingual Vision and Language Model CVPR 2024
Exploring Factual Entailment with NLI: A News Media Study NAACL 2024
AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation NIPS 2024
Best of Both Worlds: A Pliable and Generalizable Neuro-Symbolic Approach for Relation Classification NAACL 2024
ISDS-NLP at SemEval-2024 Task 10: Transformer based neural networks for emotion recognition in conversations NAACL 2024
DeMuX: Data-efficient Multilingual Learning NAACL 2024
CLIP-FSAC: Boosting CLIP for Few-Shot Anomaly Classification with Synthetic Anomalies IJCAI 2024
MDR: Model-Specific Demonstration Retrieval at Inference Time for In-Context Learning NAACL 2024