conftrace_
← Keywords

few-shot learning

3390 papers

Explore in graph

Also known as

FSL FEW-SHOT

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

Uncertainty in Model-Agnostic Meta-Learning using Variational Inference WACV 2020
Class-Discriminative Feature Embedding For Meta-Learning based Few-Shot Classification WACV 2020
Planning to Explore via Self-Supervised World Models ICML 2020
Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning WACV 2020
Self-Supervised Tuning for Few-Shot Segmentation IJCAI 2020
When Low Resource NLP Meets Unsupervised Language Model: Meta-Pretraining then Meta-Learning for Few-Shot Text Classification (Student Abstract) AAAI 2020
An Empirical Study of Contextual Data Augmentation for Japanese Zero Anaphora Resolution COLING 2020
Few-shot Pseudo-Labeling for Intent Detection COLING 2020
Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks COLING 2020
ManyEnt: A Dataset for Few-shot Entity Typing COLING 2020
Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification COLING 2020
IntKB: A Verifiable Interactive Framework for Knowledge Base Completion COLING 2020
Flight of the PEGASUS? Comparing Transformers on Few-shot and Zero-shot Multi-document Abstractive Summarization COLING 2020
Dynamic Memory Induction Networks for Few-Shot Text Classification ACL 2020
Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge IJCAI 2020
Few-Shot Open-Set Recognition Using Meta-Learning CVPR 2020
Learning to Select Base Classes for Few-Shot Classification CVPR 2020
Few-Shot Multi-Hop Relation Reasoning over Knowledge Bases EMNLP 2020
Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models EMNLP 2020
Composed Variational Natural Language Generation for Few-shot Intents EMNLP 2020
Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection EMNLP 2020
Localizing Open-Ontology QA Semantic Parsers in a Day Using Machine Translation EMNLP 2020
Meta-Information Guided Meta-Learning for Few-Shot Relation Classification COLING 2020
A Two-phase Prototypical Network Model for Incremental Few-shot Relation Classification COLING 2020
Task-Aware Representation of Sentences for Generic Text Classification COLING 2020