zero-shot learning

Learning from Task Descriptions EMNLP 2020 Learning Meta Model for Zero- and Few-Shot Face Anti-Spoofing AAAI 2020 Learning Multimodal Representations for Unseen Activities WACV 2020 Learning Mutational Semantics NeurIPS 2020 Learning Speaker Embedding from Text-to-Speech Interspeech 2020 Learning the Redundancy-Free Features for Generalized Zero-Shot Object Recognition CVPR 2020 Learning to Classify Events from Human Needs Category Descriptions EMNLP 2020 Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task EMNLP 2020 Learning Unseen Concepts via Hierarchical Decomposition and Composition CVPR 2020 Learning Video Object Segmentation From Unlabeled Videos CVPR 2020 Learning Visual Emotion Representations From Web Data CVPR 2020 Leveraging Pretrained Image Classifiers for Language-Based Segmentation WACV 2020 Locality and Compositionality in Zero-Shot Learning ICLR 2020 Logic-guided Semantic Representation Learning for Zero-Shot Relation Classification COLING 2020 LRG at SemEval-2020 Task 7: Assessing the Ability of BERT and Derivative Models to Perform Short-Edits Based Humor Grading SemEval 2020 Machine-oriented NMT Adaptation for Zero-shot NLP tasks: Comparing the Usefulness of Close and Distant Languages COLING 2020 MA-DST: Multi-Attention-Based Scalable Dialog State Tracking AAAI 2020 Meta-Learning without Memorization ICLR 2020 Meta-Transfer Learning for Zero-Shot Super-Resolution CVPR 2020 Mining on Heterogeneous Manifolds for Zero-Shot Cross-Modal Image Retrieval AAAI 2020 Modality-Transferable Emotion Embeddings for Low-Resource Multimodal Emotion Recognition AACL 2020 Model-Agnostic Metric for Zero-Shot Learning WACV 2020 Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction NeurIPS 2020 Motion-Attentive Transition for Zero-Shot Video Object Segmentation AAAI 2020 MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation CVPR 2020