ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2107.02569
  4. Cited By
Self-training with noisy student model and semi-supervised loss function
  for dcase 2021 challenge task 4

Self-training with noisy student model and semi-supervised loss function for dcase 2021 challenge task 4

6 July 2021
Nam Kyun Kim
Hyeongju Kim
ArXiv (abs)PDFHTML

Papers citing "Self-training with noisy student model and semi-supervised loss function for dcase 2021 challenge task 4"

4 / 4 papers shown
Title
Sound Event Detection and Separation: a Benchmark on Desed Synthetic
  Soundscapes
Sound Event Detection and Separation: a Benchmark on Desed Synthetic Soundscapes
Nicolas Turpault
Romain Serizel
Scott Wisdom
Hakan Erdogan
J. Hershey
Eduardo Fonseca
Prem Seetharaman
Justin Salamon
41
30
0
02 Nov 2020
Self-training with Noisy Student improves ImageNet classification
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie
Minh-Thang Luong
Eduard H. Hovy
Quoc V. Le
NoLa
307
2,387
0
11 Nov 2019
A Framework for the Robust Evaluation of Sound Event Detection
A Framework for the Robust Evaluation of Sound Event Detection
Cagdas Bilen
Giacomo Ferroni
Francesco Tuveri
Juan Azcarreta
Sacha Krstulović
75
163
0
18 Oct 2019
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
280
9,764
0
25 Oct 2017
1