zero-shot learning

Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition NeurIPS 2019 Min-Max Statistical Alignment for Transfer Learning CVPR 2019 Modeling Inter and Intra-Class Relations in the Triplet Loss for Zero-Shot Learning ICCV 2019 On Zero-Shot Recognition of Generic Objects CVPR 2019 Open Domain Web Keyphrase Extraction Beyond Language Modeling EMNLP 2019 Out-of-Domain Detection for Low-Resource Text Classification Tasks EMNLP 2019 Person Search by Text Attribute Query As Zero-Shot Learning ICCV 2019 Pointing Novel Objects in Image Captioning CVPR 2019 Progressive Ensemble Networks for Zero-Shot Recognition CVPR 2019 QUAREL: A Dataset and Models for Answering Questions about Qualitative Relationships AAAI 2019 Recognizing Part Attributes With Insufficient Data ICCV 2019 Recognizing Unseen Attribute-Object Pair with Generative Model AAAI 2019 Reconstructing Capsule Networks for Zero-shot Intent Classification EMNLP 2019 Rethinking Knowledge Graph Propagation for Zero-Shot Learning CVPR 2019 RVOS: End-To-End Recurrent Network for Video Object Segmentation CVPR 2019 Scaling Object Detection by Transferring Classification Weights ICCV 2019 Semantically Aligned Bias Reducing Zero Shot Learning CVPR 2019 Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-Based Image Retrieval CVPR 2019 Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image Retrieval ICCV 2019 Semantic-Guided Multi-Attention Localization for Zero-Shot Learning NeurIPS 2019 Semantic Projection Network for Zero- and Few-Label Semantic Segmentation CVPR 2019 TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning CVPR 2019 Task-Driven Modular Networks for Zero-Shot Compositional Learning ICCV 2019 The Strength of the Weakest Supervision: Topic Classification Using Class Labels NAACL 2019 Towards Fluid Machine Intelligence: Can We Make a Gifted AI? AAAI 2019