Classification

Label Error Correction and Generation through Label Relationships AAAI 2020 Label Noise in Context ACL 2020 Label Propagation-Based Semi-Supervised Learning for Hate Speech Classification EMNLP 2020 Label Representations in Modeling Classification as Text Generation AACL 2020 LambdaNet: Probabilistic Type Inference using Graph Neural Networks ICLR 2020 Lane detection using lane boundary marker network with road geometry constraints WACV 2020 Large-Scale Object Detection in the Wild From Imbalanced Multi-Labels CVPR 2020 LAST at SemEval-2020 Task 10: Finding Tokens to Emphasise in Short Written Texts with Precomputed Embedding Models and LightGBM SemEval 2020 Latent Emotion Memory for Multi-Label Emotion Classification AAAI 2020 Layer-wise Guided Training for BERT: Learning Incrementally Refined Document Representations EMNLP 2020 LdSM: Logarithm-depth Streaming Multi-label Decision Trees AISTATS 2020 Learnability with Indirect Supervision Signals NeurIPS 2020 Learnable Spectro-Temporal Receptive Fields for Robust Voice Type Discrimination Interspeech 2020 Learning Attentive Pairwise Interaction for Fine-Grained Classification AAAI 2020 Learning by Minimizing the Sum of Ranked Range NeurIPS 2020 Learning Data-adaptive Non-parametric Kernels JMLR 2020 Learning Dynamic Hierarchical Topic Graph with Graph Convolutional Network for Document Classification AISTATS 2020 Learning Efficient Representations for Fake Speech Detection AAAI 2020 Learning Emotion from 100 Observations: Unexpected Robustness of Deep Learning under Strong Data Limitations COLING 2020 Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns AAAI 2020 Learning for Safety-Critical Control with Control Barrier Functions L4DC 2020 Learning from Aggregate Observations NeurIPS 2020 Learning from Label Proportions: A Mutual Contamination Framework NeurIPS 2020 Learning from Label Proportions with Consistency Regularization ACML 2020 Learning from Mixtures of Private and Public Populations NeurIPS 2020