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

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1911.10739
  4. Cited By
Empirical Study of Easy and Hard Examples in CNN Training

Empirical Study of Easy and Hard Examples in CNN Training

25 November 2019
Ikki Kishida
Hideki Nakayama
ArXiv (abs)PDFHTML

Papers citing "Empirical Study of Easy and Hard Examples in CNN Training"

4 / 4 papers shown
Title
Trustworthy Machine Learning via Memorization and the Granular Long-Tail: A Survey on Interactions, Tradeoffs, and Beyond
Qiongxiu Li
Xiaoyu Luo
Yiyi Chen
Johannes Bjerva
309
3
0
10 Mar 2025
Differences Between Hard and Noisy-labeled Samples: An Empirical Study
Differences Between Hard and Noisy-labeled Samples: An Empirical Study
Mahsa Forouzesh
Patrick Thiran
NoLa
85
3
0
20 Jul 2023
Easy Batch Normalization
Easy Batch Normalization
Arip Asadulaev
Alexander Panfilov
Andrey Filchenkov
AAML
75
0
0
18 Jul 2022
What is Flagged in Uncertainty Quantification? Latent Density Models for
  Uncertainty Categorization
What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization
Hao Sun
B. V. Breugel
Jonathan Crabbé
Nabeel Seedat
M. Schaar
129
4
0
11 Jul 2022
1