Zero-Shot Learning

Zero-Shot Recognition Using Dual Visual-Semantic Mapping Paths CVPR 2017 Zero-Shot Relation Extraction via Reading Comprehension CoNLL 2017 Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning ICML 2017 A Task-Oriented Approach for Cost-Sensitive Recognition CVPR 2016 Deep Compositional Captioning: Describing Novel Object Categories Without Paired Training Data CVPR 2016 Fast Zero-Shot Image Tagging CVPR 2016 Harnessing Object and Scene Semantics for Large-Scale Video Understanding CVPR 2016 Label Embedding for Zero-shot Fine-grained Named Entity Typing COLING 2016 Latent Embeddings for Zero-Shot Classification CVPR 2016 Learning Deep Parsimonious Representations NeurIPS 2016 Learning Deep Representations of Fine-Grained Visual Descriptions CVPR 2016 Learning feed-forward one-shot learners NeurIPS 2016 Less Is More: Zero-Shot Learning From Online Textual Documents With Noise Suppression CVPR 2016 Local Similarity-Aware Deep Feature Embedding NeurIPS 2016 Multi-Cue Zero-Shot Learning With Strong Supervision CVPR 2016 Recovering the Missing Link: Predicting Class-Attribute Associations for Unsupervised Zero-Shot Learning CVPR 2016 RLScore: Regularized Least-Squares Learners JMLR 2016 Semi-Supervised Vocabulary-Informed Learning CVPR 2016 Synthesized Classifiers for Zero-Shot Learning CVPR 2016 They Are Not Equally Reliable: Semantic Event Search Using Differentiated Concept Classifiers CVPR 2016 Zero-Shot Learning via Joint Latent Similarity Embedding CVPR 2016 Active Transfer Learning With Zero-Shot Priors: Reusing Past Datasets for Future Tasks ICCV 2015 Evaluation of Output Embeddings for Fine-Grained Image Classification CVPR 2015 Learning Hypergraph-Regularized Attribute Predictors CVPR 2015 Learning Scene-Specific Pedestrian Detectors Without Real Data CVPR 2015