Skip to content
conftrace_

imbalanced data

84 papers

Papers

Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data NeurIPS 2021 PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation AAAI 2021 Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data Interspeech 2021 (1 + epsilon)-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets JMLR 2020 Balancing Training for Multilingual Neural Machine Translation ACL 2020 Data Augmentation for Multiclass Utterance Classification – A Systematic Study COLING 2020 Deep Dynamic Boosted Forest ACML 2020 FiNLP at FinCausal 2020 Task 1: Mixture of BERTs for Causal Sentence Identification in Financial Texts COLING 2020 Generalized and Scalable Optimal Sparse Decision Trees ICML 2020 Large-Scale Object Detection in the Wild From Imbalanced Multi-Labels CVPR 2020 Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to Deal with Imbalanced Data IJCAI 2020 Logistic Regression for Massive Data with Rare Events ICML 2020 Measuring What Counts: The Case of Rumour Stance Classification AACL 2020 Revisiting Rumour Stance Classification: Dealing with Imbalanced Data COLING 2020 SetConv: A New Approach for Learning from Imbalanced Data EMNLP 2020 Active Learning for Decision-Making from Imbalanced Observational Data ICML 2019 Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection AAAI 2019 CAUnLP at NLP4IF 2019 Shared Task: Context-Dependent BERT for Sentence-Level Propaganda Detection EMNLP 2019 Dynamic Curriculum Learning for Imbalanced Data Classification ICCV 2019 Rare Sound Event Detection Using Deep Learning and Data Augmentation Interspeech 2019 Software Component Prediction for Bug Reports ACML 2019 Towards Discriminative Representations and Unbiased Predictions: Class-Specific Angular Softmax for Speech Emotion Recognition Interspeech 2019 UBC-NLP at SemEval-2019 Task 6: Ensemble Learning of Offensive Content With Enhanced Training Data SemEval 2019 Iterative Metric Learning for Imbalance Data Classification IJCAI 2018 RDEC: Integrating Regularization into Deep Embedded Clustering for Imbalanced Datasets ACML 2018