← Learning Types
Machine Learning › Learning Types ›

Classification

1251 directly classified papers

Papers per year

Papers

I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling ACL 2021
Joint-Label Learning by Dual Augmentation for Time Series Classification AAAI 2021
Few-Shot One-Class Classification via Meta-Learning AAAI 2021
Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field AAAI 2021
Robust Learning under Strong Noise via SQs AISTATS 2021
Semi-Supervised Aggregation of Dependent Weak Supervision Sources With Performance Guarantees AISTATS 2021
COVID-19 and Misinformation: A Large-Scale Lexical Analysis on Twitter IJCNLP 2021
Catchphrase: Automatic Detection of Cultural References IJCNLP 2021
Latent Hatred: A Benchmark for Understanding Implicit Hate Speech EMNLP 2021
Building Adaptive Acceptability Classifiers for Neural NLG EMNLP 2021
Adversarial Mixing Policy for Relaxing Locally Linear Constraints in Mixup EMNLP 2021
A Survey of Online Hate Speech through the Causal Lens EMNLP 2021
To What Extent Can English-as-a-Second Language Learners Read Economic News Texts? EMNLP 2021
Extracting Economic Signals from Central Bank Speeches EMNLP 2021
Error-Sensitive Evaluation for Ordinal Target Variables EMNLP 2021
Emotion Classification in German Plays with Transformer-based Language Models Pretrained on Historical and Contemporary Language EMNLP 2021
Countering the Influence of Essay Length in Neural Essay Scoring EMNLP 2021
Coping with Noisy Training Data Labels in Paraphrase Detection EMNLP 2021
Robustness and Sensitivity of BERT Models Predicting Alzheimer’s Disease from Text EMNLP 2021
Study of Manifestation of Civil Unrest on Twitter EMNLP 2021
“Something Something Hota Hai!” An Explainable Approach towards Sentiment Analysis on Indian Code-Mixed Data EMNLP 2021
Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics CVPR 2021
Discriminative Complementary-Label Learning with Weighted Loss ICML 2021
Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees ICML 2021
On Focal Loss for Class-Posterior Probability Estimation: A Theoretical Perspective CVPR 2021