Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2412.02313
Cited By
Noisy Ostracods: A Fine-Grained, Imbalanced Real-World Dataset for Benchmarking Robust Machine Learning and Label Correction Methods
Neural Information Processing Systems (NeurIPS), 2024
3 December 2024
Jiamian Hu
Yuanyuan Hong
Yihua Chen
He Wang
Moriaki Yasuhara
Re-assign community
ArXiv (abs)
PDF
HTML
Github
Papers citing
"Noisy Ostracods: A Fine-Grained, Imbalanced Real-World Dataset for Benchmarking Robust Machine Learning and Label Correction Methods"
2 / 2 papers shown
PhysLab: A Benchmark Dataset for Multi-Granularity Visual Parsing of Physics Experiments
Minghao Zou
Qingtian Zeng
Yongping Miao
Shangkun Liu
Zilong Wang
Hantao Liu
Wei Zhou
304
1
0
07 Jun 2025
Early Stopping Against Label Noise Without Validation Data
International Conference on Learning Representations (ICLR), 2025
Suqin Yuan
Lei Feng
Tongliang Liu
NoLa
734
37
0
11 Feb 2025
1
Page 1 of 1