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Papers (including subtopics)

Evaluating Unsupervised Representation Learning for Detecting Stances of Fake News COLING 2020 Evaluation of Transfer Learning for Adverse Drug Event (ADE) and Medication Entity Extraction EMNLP 2020 Event Extraction by Answering (Almost) Natural Questions EMNLP 2020 Event-Guided Denoising for Multilingual Relation Learning COLING 2020 Evolving Losses for Unsupervised Video Representation Learning CVPR 2020 exBERT: Extending Pre-trained Models with Domain-specific Vocabulary Under Constrained Training Resources EMNLP 2020 EXI-Net: EXplicitly/Implicitly Conditioned Network for Multiple Environment Sim-to-Real Transfer CoRL 2020 Explaining Multi-stage Tasks by Learning Temporal Logic Formulas from Suboptimal Demonstrations RSS 2020 Explicit Semantic Decomposition for Definition Generation ACL 2020 Exploiting Cross-Lingual Subword Similarities in Low-Resource Document Classification AAAI 2020 Exploiting Unsupervised Data for Emotion Recognition in Conversations EMNLP 2020 Exploring and Predicting Transferability across NLP Tasks EMNLP 2020 Exploring Logically Dependent Multi-task Learning with Causal Inference EMNLP 2020 Exploring Parameter Space with Structured Noise for Meta-Reinforcement Learning IJCAI 2020 Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer JMLR 2020 Exploring the zero-shot limit of FewRel COLING 2020 Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer Learning EMNLP 2020 Extending Unsupervised Neural Image Compression With Supervised Multitask Learning MIDL 2020 Extensively Matching for Few-shot Learning Event Detection ACL 2020 Extracting Headless MWEs from Dependency Parse Trees: Parsing, Tagging, and Joint Modeling Approaches ACL 2020 Extractive Summarization System for Annual Reports COLING 2020 Fact or Fiction: Verifying Scientific Claims EMNLP 2020 Fair Resource Allocation in Federated Learning ICLR 2020 Fast Task Inference with Variational Intrinsic Successor Features ICLR 2020 FDA: Fourier Domain Adaptation for Semantic Segmentation CVPR 2020