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Don't miss the Mismatch: Investigating the Objective Function Mismatch
  for Unsupervised Representation Learning

Don't miss the Mismatch: Investigating the Objective Function Mismatch for Unsupervised Representation Learning

4 September 2020
Bonifaz Stuhr
Jürgen Brauer
ArXivPDFHTML

Papers citing "Don't miss the Mismatch: Investigating the Objective Function Mismatch for Unsupervised Representation Learning"

4 / 4 papers shown
Title
PointContrast: Unsupervised Pre-training for 3D Point Cloud
  Understanding
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
Saining Xie
Jiatao Gu
Demi Guo
C. Qi
Leonidas J. Guibas
Or Litany
3DPC
141
622
0
21 Jul 2020
Does Visual Self-Supervision Improve Learning of Speech Representations
  for Emotion Recognition?
Does Visual Self-Supervision Improve Learning of Speech Representations for Emotion Recognition?
Abhinav Shukla
Stavros Petridis
M. Pantic
SSL
27
28
0
04 May 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,369
0
09 Mar 2020
Guided Generative Adversarial Neural Network for Representation Learning
  and High Fidelity Audio Generation using Fewer Labelled Audio Data
Guided Generative Adversarial Neural Network for Representation Learning and High Fidelity Audio Generation using Fewer Labelled Audio Data
Kazi Nazmul Haque
R. Rana
John H. L. Hansen
Björn Schuller
GAN
13
3
0
05 Mar 2020
1