ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2412.02313
  4. Cited By
Noisy Ostracods: A Fine-Grained, Imbalanced Real-World Dataset for
  Benchmarking Robust Machine Learning and Label Correction Methods

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
ArXiv (abs)PDFHTMLGithub

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
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
Early Stopping Against Label Noise Without Validation DataInternational Conference on Learning Representations (ICLR), 2025
Suqin Yuan
Lei Feng
Tongliang Liu
NoLa
734
37
0
11 Feb 2025
1
Page 1 of 1