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

Collaborative Refining for Learning from Inaccurate Labels NIPS 2024
Soft Self-Consistency Improves Language Models Agents ACL 2024
Unsupervised Multimodal Clustering for Semantics Discovery in Multimodal Utterances ACL 2024
Reconfigurability-Aware Selection for Contrastive Active Domain Adaptation IJCAI 2024
Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning CVPR 2024
Mashee at SemEval-2024 Task 8: The Impact of Samples Quality on the Performance of In-Context Learning for Machine Text Classification NAACL 2024
Let’s Start Over: Retraining with Selective Samples for Generalized Category Discovery IJCAI 2024
Regroup Median Loss for Combating Label Noise AAAI 2024
CoLAL: Co-learning Active Learning for Text Classification AAAI 2024
Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection NIPS 2024
Contributing Dimension Structure of Deep Feature for Coreset Selection AAAI 2024
Patch-Aware Sample Selection for Efficient Masked Image Modeling AAAI 2024
Learning from Long-Tailed Noisy Data with Sample Selection and Balanced Loss IJCAI 2024
ELAD: Explanation-Guided Large Language Models Active Distillation ACL 2024
Real-Time Selection Under General Constraints via Predictive Inference NIPS 2024
Sample Selection via Contrastive Fragmentation for Noisy Label Regression NIPS 2024
Regularizing Second-Order Influences for Continual Learning CVPR 2023
Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm CVPR 2023
CTW: Confident Time-Warping for Time-Series Label-Noise Learning IJCAI 2023
Continual Semantic Segmentation With Automatic Memory Sample Selection CVPR 2023
Adaptive Sample Selection for Robust Learning Under Label Noise WACV 2023
impact of sample selection on in-context learning for entity extraction from scientific writing EMNLP 2023
Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels IJCAI 2023
Late Stopping: Avoiding Confidently Learning from Mislabeled Examples ICCV 2023
Data Pruning via Moving-one-Sample-out NIPS 2023