conftrace_

sample selection

107 papers

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Co-occurring keywords

active learning (1301) label noise (498) noisy label (321) semi-supervised learning (2341) large language model (13587) noisy label learning (163) data augmentation (3052) knowledge distillation (3725) text classification (6793) image classification (1944)

Papers

Gaussian Label Distribution Learning for Spherical Image Object Detection CVPR 2023
KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training NIPS 2023
Data Pruning via Moving-one-Sample-out NIPS 2023
Adaptive Sample Selection for Robust Learning Under Label Noise WACV 2023
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization ICCV 2023
RankMatch: Fostering Confidence and Consistency in Learning with Noisy Labels ICCV 2023
Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples ICCV 2023
Late Stopping: Avoiding Confidently Learning from Mislabeled Examples ICCV 2023
SelectAugment: Hierarchical Deterministic Sample Selection for Data Augmentation AAAI 2023
Neighborhood-Regularized Self-Training for Learning with Few Labels AAAI 2023
USDNL: Uncertainty-Based Single Dropout in Noisy Label Learning AAAI 2023
Tailoring Instructions to Student’s Learning Levels Boosts Knowledge Distillation ACL 2023
OT-Filter: An Optimal Transport Filter for Learning With Noisy Labels CVPR 2023
Class-Independent Regularization for Learning with Noisy Labels AAAI 2023
Multi-Classifier Adversarial Optimization for Active Learning AAAI 2023
Scalable Penalized Regression for Noise Detection in Learning With Noisy Labels CVPR 2022
UniCon: Combating Label Noise Through Uniform Selection and Contrastive Learning CVPR 2022
Shape-Adaptive Selection and Measurement for Oriented Object Detection AAAI 2022
Probabilistic Bilevel Coreset Selection ICML 2022
Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification EMNLP 2022
Dynamic Nonlinear Mixup with Distance-based Sample Selection COLING 2022
Identifying Wrongly Predicted Samples: A Method for Active Learning WACV 2022
Which Images To Label for Few-Shot Medical Landmark Detection? CVPR 2022
To Share or not to Share: Predicting Sets of Sources for Model Transfer Learning EMNLP 2021
Unsupervised Active Learning via Subspace Learning AAAI 2021