conftrace_

label noise

498 papers

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Co-occurring keywords

noisy label (321) noisy label learning (163) deep neural network (1803) semi-supervised learning (2341) weakly supervised learning (1328) text classification (6793) image classification (1944) data augmentation (3052) representation learning (6206) active learning (1301)

Papers

AutoDO: Robust AutoAugment for Biased Data With Label Noise via Scalable Probabilistic Implicit Differentiation CVPR 2021
Capturing Delayed Feedback in Conversion Rate Prediction via Elapsed-Time Sampling AAAI 2021
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise AAAI 2021
Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels AAAI 2021
Learning with Group Noise AAAI 2021
Learning from Crowds by Modeling Common Confusions AAAI 2021
Knowledge Distillation with Noisy Labels for Natural Language Understanding EMNLP 2021
Augmentation Strategies for Learning With Noisy Labels CVPR 2021
DualGraph: A Graph-Based Method for Reasoning About Label Noise CVPR 2021
Shape Matters: Understanding the Implicit Bias of the Noise Covariance COLT 2021
Confidence Scores Make Instance-dependent Label-noise Learning Possible ICML 2021
Entity at SemEval-2021 Task 5: Weakly Supervised Token Labelling for Toxic Spans Detection ACL 2021
Noise as a Resource for Learning in Knowledge Distillation WACV 2021
FINE Samples for Learning with Noisy Labels NIPS 2021
Exploring Inspiration Sets in a Data Programming Pipeline for Product Moderation ACL 2021
Adaptive Label Noise Cleaning With Meta-Supervision for Deep Face Recognition ICCV 2021
Learning From Noisy Data With Robust Representation Learning ICCV 2021
Searching for Robustness: Loss Learning for Noisy Classification Tasks ICCV 2021
Distantly Supervised Relation Extraction in Federated Settings EMNLP 2021
SemEval-2021 Task 12: Learning with Disagreements ACL 2021
Faster Meta Update Strategy for Noise-Robust Deep Learning CVPR 2021
Switchable K-Class Hyperplanes for Noise-Robust Representation Learning ICCV 2021
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training EMNLP 2021
Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning EMNLP 2021
Noisy Concurrent Training for Efficient Learning Under Label Noise WACV 2021