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imbalanced datum

81 papers

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Co-occurring keywords

representation learning (6206) data augmentation (3052) class imbalance (555) text classification (6793) imbalanced learning (48) loss function (462) ensemble learning (1274) contrastive learning (4032) long-tailed distribution (142) imbalanced classification (77)

Papers

Measuring What Counts: The Case of Rumour Stance Classification AACL 2020
(1 + epsilon)-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets JMLR 2020
Data Augmentation for Multiclass Utterance Classification – A Systematic Study COLING 2020
Revisiting Rumour Stance Classification: Dealing with Imbalanced Data COLING 2020
Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to Deal with Imbalanced Data IJCAI 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
Deep Dynamic Boosted Forest ACML 2020
Balancing Training for Multilingual Neural Machine Translation ACL 2020
Large-Scale Object Detection in the Wild From Imbalanced Multi-Labels CVPR 2020
Logistic Regression for Massive Data with Rare Events ICML 2020
SetConv: A New Approach for Learning from Imbalanced Data EMNLP 2020
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
Towards Discriminative Representations and Unbiased Predictions: Class-Specific Angular Softmax for Speech Emotion Recognition INTERSPEECH 2019
Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection AAAI 2019
UBC-NLP at SemEval-2019 Task 6: Ensemble Learning of Offensive Content With Enhanced Training Data SEMEVAL 2019
Active Learning for Decision-Making from Imbalanced Observational Data ICML 2019
Software Component Prediction for Bug Reports ACML 2019
Rare Sound Event Detection Using Deep Learning and Data Augmentation INTERSPEECH 2019
RDEC: Integrating Regularization into Deep Embedded Clustering for Imbalanced Datasets ACML 2018
Iterative Metric Learning for Imbalance Data Classification IJCAI 2018
Loss Max-Pooling for Semantic Image Segmentation CVPR 2017
ECNU at SemEval-2017 Task 8: Rumour Evaluation Using Effective Features and Supervised Ensemble Models SEMEVAL 2017
Reconstruct & Crush Network NIPS 2017