Co-occurring keywords · papers mentioning both
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