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Few-Shot Learning

1062 directly classified papers

Papers per year

Papers

Dual Context-Guided Continuous Prompt Tuning for Few-Shot Learning ACL 2022
TAX-Pose: Task-Specific Cross-Pose Estimation for Robot Manipulation CORL 2022
Improving Few-Shot Image Classification Using Machine- and User-Generated Natural Language Descriptions NAACL 2022
On Curriculum Learning for Commonsense Reasoning NAACL 2022
N-Shot Learning for Augmenting Task-Oriented Dialogue State Tracking ACL 2022
Noisy Channel Language Model Prompting for Few-Shot Text Classification ACL 2022
Mask Matching Transformer for Few-Shot Segmentation NIPS 2022
Intermediate Prototype Mining Transformer for Few-Shot Semantic Segmentation NIPS 2022
DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations NIPS 2022
BadPrompt: Backdoor Attacks on Continuous Prompts NIPS 2022
Building a Role Specified Open-Domain Dialogue System Leveraging Large-Scale Language Models NAACL 2022
Few-Shot Pidgin Text Adaptation via Contrastive Fine-Tuning COLING 2022
On the Economics of Multilingual Few-shot Learning: Modeling the Cost-Performance Trade-offs of Machine Translated and Manual Data NAACL 2022
DEGREE: A Data-Efficient Generation-Based Event Extraction Model NAACL 2022
Improving Compositional Generalization with Self-Training for Data-to-Text Generation ACL 2022
MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text Classification NAACL 2022
Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis AAAI 2022
SEE-Few: Seed, Expand and Entail for Few-shot Named Entity Recognition COLING 2022
Parameter-Efficient Legal Domain Adaptation EMNLP 2022
CPL: Counterfactual Prompt Learning for Vision and Language Models EMNLP 2022
Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering EMNLP 2022
Controllable Dialogue Simulation with In-context Learning EMNLP 2022
Clip-Tuning: Towards Derivative-free Prompt Learning with a Mixture of Rewards EMNLP 2022
Improving In-Context Few-Shot Learning via Self-Supervised Training NAACL 2022
COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity Recognition COLING 2022