Classification

Online Metric Learning for Multi-Label Classification AAAI 2020 Online Positive and Unlabeled Learning IJCAI 2020 Online Semi-supervised Multi-label Classification with Label Compression and Local Smooth Regression IJCAI 2020 On Log-Loss Scores and (No) Privacy EMNLP 2020 On Lp-norm Robustness of Ensemble Decision Stumps and Trees ICML 2020 On lp-Support Vector Machines and Multidimensional Kernels JMLR 2020 On Mahalanobis Distance in Functional Settings JMLR 2020 On Parameter Adaptation in Softmax-Based Cross-Entropy Loss for Improved Convergence Speed and Accuracy in DNN-Based Speaker Recognition Interspeech 2020 On Power Laws in Deep Ensembles NeurIPS 2020 On the Complexity of Proper Distribution-Free Learning of Linear Classifiers ALT 2020 On the consistency of top-k surrogate losses ICML 2020 On the Detection of Digital Face Manipulation CVPR 2020 On the diminishing return of labeling clinical reports EMNLP 2020 On the Error Resistance of Hinge-Loss Minimization NeurIPS 2020 On the Global Convergence Rates of Softmax Policy Gradient Methods ICML 2020 On the Hierarchical Information in a Single Contextualised Word Representation (Student Abstract) AAAI 2020 On the Importance of Adaptive Data Collection for Extremely Imbalanced Pairwise Tasks EMNLP 2020 On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks AAAI 2020 On the Practical Ability of Recurrent Neural Networks to Recognize Hierarchical Languages COLING 2020 On the Usage of Multi-Feature Integration for Speaker Verification and Language Identification Interspeech 2020 On Validation and Planning of An Optimal Decision Rule with Application in Healthcare Studies ICML 2020 Optimal Best-arm Identification in Linear Bandits NeurIPS 2020 Optimal Bipartite Network Clustering JMLR 2020 Optimal Margin Distribution Learning in Dynamic Environments AAAI 2020 Optimal Margin Distribution Machine for Multi-Instance Learning IJCAI 2020