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Papers (including subtopics)

Estimating weighted areas under the ROC curve NeurIPS 2020 Estimation and Imputation in Probabilistic Principal Component Analysis with Missing Not At Random Data NeurIPS 2020 Estimation and Inference with Trees and Forests in High Dimensions COLT 2020 Estimation of a Low-rank Topic-Based Model for Information Cascades JMLR 2020 Estimation of Skill Distribution from a Tournament NeurIPS 2020 eTranslation’s Submissions to the WMT 2020 News Translation Task EMNLP 2020 Evaluating a Bi-LSTM Model for Metaphor Detection in TOEFL Essays ACL 2020 Evaluating Attribution for Graph Neural Networks NeurIPS 2020 Evaluating Attribution Methods using White-Box LSTMs EMNLP 2020 Evaluating Compositionality of Sentence Representation Models ACL 2020 Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior? ACL 2020 Evaluating Machine Accuracy on ImageNet ICML 2020 Evaluating Natural Alpha Embeddings on Intrinsic and Extrinsic Tasks ACL 2020 Evaluating Natural Language Generation via Unbalanced Optimal Transport IJCAI 2020 Evaluating Neural Morphological Taggers for Sanskrit ACL 2020 Evaluating Pretrained Transformer-based Models on the Task of Fine-Grained Named Entity Recognition COLING 2020 Evaluating the Calibration of Knowledge Graph Embeddings for Trustworthy Link Prediction EMNLP 2020 Evaluating the Reliability of Acoustic Speech Embeddings Interspeech 2020 Evaluating Unsupervised Representation Learning for Detecting Stances of Fake News COLING 2020 Evaluating Word Embeddings for Language Acquisition EMNLP 2020 Evaluating Word Embeddings on Low-Resource Languages EMNLP 2020 Evaluation of Transfer Learning for Adverse Drug Event (ADE) and Medication Entity Extraction EMNLP 2020 Event Coreference Resolution with Non-Local Information AACL 2020 Event-Driven Continuous Time Bayesian Networks AAAI 2020 Event-Driven Learning of Systematic Behaviours in Stock Markets EMNLP 2020