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Self-Supervised Learning

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Papers

ClarQ: A large-scale and diverse dataset for Clarification Question Generation ACL 2020 ClusterFit: Improving Generalization of Visual Representations CVPR 2020 CLUZH at SIGMORPHON 2020 Shared Task on Multilingual Grapheme-to-Phoneme Conversion ACL 2020 Coarse-to-Fine Pre-training for Named Entity Recognition EMNLP 2020 Cold-start Active Learning through Self-supervised Language Modeling EMNLP 2020 Combining Self-Training and Self-Supervised Learning for Unsupervised Disfluency Detection EMNLP 2020 Commonsense Reasoning to Guide Deep Learning for Scene Understanding (Extended Abstract) IJCAI 2020 Complementary Auxiliary Classifiers for Label-Conditional Text Generation AAAI 2020 Composing Elementary Discourse Units in Abstractive Summarization ACL 2020 Compositionality Decomposed: How do Neural Networks Generalise? (Extended Abstract) IJCAI 2020 Compositional Phrase Alignment and Beyond EMNLP 2020 CompRess: Self-Supervised Learning by Compressing Representations NeurIPS 2020 Condolence and Empathy in Online Communities EMNLP 2020 Confidence Measure for Speech-to-Concept End-to-End Spoken Language Understanding Interspeech 2020 Constrained Self-Supervised Clustering for Discovering New Intents (Student Abstract) AAAI 2020 Continuity of Topic, Interaction, and Query: Learning to Quote in Online Conversations EMNLP 2020 Continuous Object Representation Networks: Novel View Synthesis without Target View Supervision NeurIPS 2020 Contrastive learning of global and local features for medical image segmentation with limited annotations NeurIPS 2020 Contrastive Learning with Adversarial Examples NeurIPS 2020 Contrastive Predictive Coding of Audio with an Adversary Interspeech 2020 Contrastive Self-Supervised Learning for Commonsense Reasoning ACL 2020 Contrastive Variational Reinforcement Learning for Complex Observations CoRL 2020 Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation EMNLP 2020 CoPhy: Counterfactual Learning of Physical Dynamics ICLR 2020 CopyCat: Many-to-Many Fine-Grained Prosody Transfer for Neural Text-to-Speech Interspeech 2020