Classification

Non-Verbal Vocalisation and Laughter Detection Using Sequence-to-Sequence Models and Multi-Label Training Interspeech 2021 Not Just Classification: Recognizing Implicit Discourse Relation on Joint Modeling of Classification and Generation EMNLP 2021 Object Classification From Randomized EEG Trials CVPR 2021 Offensive language identification in Dravidian code mixed social media text EACL 2021 OffTamil@DravideanLangTech-EASL2021: Offensive Language Identification in Tamil Text EACL 2021 On Belief Change for Multi-Label Classifier Encodings IJCAI 2021 On Classifying whether Two Texts are on the Same Side of an Argument EMNLP 2021 One-class Text Classification with Multi-modal Deep Support Vector Data Description EACL 2021 On Episodes, Prototypical Networks, and Few-Shot Learning NeurIPS 2021 On Explaining Random Forests with SAT IJCAI 2021 On Focal Loss for Class-Posterior Probability Estimation: A Theoretical Perspective CVPR 2021 Online Active Learning with Surrogate Loss Functions NeurIPS 2021 Online Active Model Selection for Pre-trained Classifiers AISTATS 2021 Online Credit Payment Fraud Detection via Structure-Aware Hierarchical Recurrent Neural Network IJCAI 2021 Online probabilistic label trees AISTATS 2021 Online Selection of Diverse Committees IJCAI 2021 Online Selective Classification with Limited Feedback NeurIPS 2021 Online Sign Identification: Minimization of the Number of Errors in Thresholding Bandits NeurIPS 2021 Online Speaker Diarization Equipped with Discriminative Modeling and Guided Inference Interspeech 2021 On Margin-Based Cluster Recovery with Oracle Queries NeurIPS 2021 On Model Calibration for Long-Tailed Object Detection and Instance Segmentation NeurIPS 2021 On Modeling Glottal Source Information for Phonation Assessment in Parkinson’s Disease Interspeech 2021 On Multi-Armed Bandit Designs for Dose-Finding Trials JMLR 2021 On Positivity Bias in Negative Reviews ACL 2021 On the Challenges of Evaluating Compositional Explanations in Multi-Hop Inference: Relevance, Completeness, and Expert Ratings EMNLP 2021