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

Towards Accurate and Robust Domain Adaptation under Noisy Environments IJCAI 2020
AttAN: Attention Adversarial Networks for 3D Point Cloud Semantic Segmentation IJCAI 2020
Model-agnostic Methods for Text Classification with Inherent Noise COLING 2020
Robust Deep Ordinal Regression under Label Noise ACML 2020
Convex and Non-Convex Approaches for Statistical Inference with Class-Conditional Noisy Labels JMLR 2020
Distilling Effective Supervision From Severe Label Noise CVPR 2020
Using PRMSE to evaluate automated scoring systems in the presence of label noise ACL 2020
Finding Friends and Flipping Frenemies: Automatic Paraphrase Dataset Augmentation Using Graph Theory EMNLP 2020
A Bi-level Formulation for Label Noise Learning with Spectral Cluster Discovery IJCAI 2020
Aggregating Crowd Wisdom with Side Information via a Clustering-based Label-aware Autoencoder IJCAI 2020
OptSLA: an Optimization-Based Approach for Sequential Label Aggregation EMNLP 2020
Cost-Accuracy Aware Adaptive Labeling for Active Learning AAAI 2020
Improving Human-Labeled Data through Dynamic Automatic Conflict Resolution COLING 2020
Improving generalization by controlling label-noise information in neural network weights ICML 2020
Efficiently Learning Adversarially Robust Halfspaces with Noise ICML 2020
Training Noise-Robust Deep Neural Networks via Meta-Learning CVPR 2020
Learning from Noisy Labels via Discrepant Collaborative Training WACV 2020
Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks AISTATS 2020
Partial Multi-Label Learning via Multi-Subspace Representation IJCAI 2020
Efficient active learning of sparse halfspaces with arbitrary bounded noise NIPS 2020
Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning NIPS 2020
Part-dependent Label Noise: Towards Instance-dependent Label Noise NIPS 2020
Weston-Watkins Hinge Loss and Ordered Partitions NIPS 2020
Learning with Multiple Complementary Labels ICML 2020
Self-Adaptive Training: beyond Empirical Risk Minimization NIPS 2020