conftrace_

noisy label

321 papers

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Co-occurring keywords

label noise (498) noisy label learning (163) deep neural network (1803) weakly supervised learning (1328) semi-supervised learning (2341) distant supervision (315) robust learning (120) text classification (6793) convolutional neural network (4226) loss function (462)

Papers

Devil Is in the Edges: Learning Semantic Boundaries From Noisy Annotations CVPR 2019
spark-crowd: A Spark Package for Learning from Crowdsourced Big Data JMLR 2019
Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework EMNLP 2019
Ranking and Sampling in Open-Domain Question Answering EMNLP 2019
Transferable Curriculum for Weakly-Supervised Domain Adaptation AAAI 2019
Co-teaching: Robust training of deep neural networks with extremely noisy labels NIPS 2018
Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias NIPS 2018
A Theory of Learning with Corrupted Labels JMLR 2018
Training a Neural Network in a Low-Resource Setting on Automatically Annotated Noisy Data ACL 2018
Put It Back: Entity Typing with Language Model Enhancement EMNLP 2018
CleanNet: Transfer Learning for Scalable Image Classifier Training With Label Noise CVPR 2018
Robust Active Label Correction AISTATS 2018
Training and Prediction Data Discrepancies: Challenges of Text Classification with Noisy, Historical Data EMNLP 2018
Robustness of conditional GANs to noisy labels NIPS 2018
Semi-crowdsourced Clustering with Deep Generative Models NIPS 2018
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels NIPS 2018
Masking: A New Perspective of Noisy Supervision NIPS 2018
Joint Optimization Framework for Learning With Noisy Labels CVPR 2018
Iterative Learning With Open-Set Noisy Labels CVPR 2018
Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective CVPR 2018
Active Testing: An Efficient and Robust Framework for Estimating Accuracy ICML 2018
Dimensionality-Driven Learning with Noisy Labels ICML 2018
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels ICML 2018
Cost-Sensitive Learning with Noisy Labels JMLR 2018
Certified Computation from Unreliable Datasets COLT 2018