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zero-shot learning

3637 papers

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Also known as

ZSS ZSL ZS ZERO-SHOT ZL

Co-occurring keywords

large language model (12755) few-shot learning (3390) vision-language model (2235) transfer learning (5442) cross-lingual transfer (1468) text classification (6776) multimodal learning (4622) contrastive learning (3979) domain adaptation (4578) language model (4573)

Papers

Fast Zero-Shot Image Tagging CVPR 2016
A Task-Oriented Approach for Cost-Sensitive Recognition CVPR 2016
Learning Deep Representations of Fine-Grained Visual Descriptions CVPR 2016
Semi-Supervised Vocabulary-Informed Learning CVPR 2016
Learning Hypergraph-Regularized Attribute Predictors CVPR 2015
Zero-Shot Object Recognition by Semantic Manifold Distance CVPR 2015
A Unified Multiplicative Framework for Attribute Learning ICCV 2015
Unsupervised Domain Adaptation for Zero-Shot Learning ICCV 2015
Evaluation of Output Embeddings for Fine-Grained Image Classification CVPR 2015
On the Relationship Between Visual Attributes and Convolutional Networks CVPR 2015
Max-Margin Zero-Shot Learning for Multi-class Classification AISTATS 2015
Learning Semantic Relationships for Better Action Retrieval in Images CVPR 2015
Objects2action: Classifying and Localizing Actions Without Any Video Example ICCV 2015
Zero-Shot Learning via Semantic Similarity Embedding ICCV 2015
An embarrassingly simple approach to zero-shot learning ICML 2015
Active Transfer Learning With Zero-Shot Priors: Reusing Past Datasets for Future Tasks ICCV 2015
Predicting Deep Zero-Shot Convolutional Neural Networks Using Textual Descriptions ICCV 2015
Semi-Supervised Zero-Shot Classification With Label Representation Learning ICCV 2015
Linear Ranking Analysis CVPR 2014
Predicting Multiple Attributes via Relative Multi-task Learning CVPR 2014
Zero-shot recognition with unreliable attributes NIPS 2014
Inferring Analogous Attributes CVPR 2014
Predicting Failures of Vision Systems CVPR 2014
Zero-shot Event Detection using Multi-modal Fusion of Weakly Supervised Concepts CVPR 2014
Attribute-Based Detection of Unfamiliar Classes with Humans in the Loop CVPR 2013