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Unsupervised representation learning has shown remarkable achievement by reducing the performance gap with supervised feature learning, especially in the image domain.
“Phoneme recognition using time-delay neural networks,”
Alex Waibel, Toshiyuki Hanazawa, Geoffrey Hinton, Kiyohiro Shikano, and Kevin J Lang, · 1989
Earlier work this paper cites.
“Dimensionality reduction by learning an invariant mapping,”
Raia Hadsell, Sumit Chopra, and Yann LeCun, · 2006
Earlier work this paper cites.
“Distilling the knowledge in a neural network,”
Geoffrey Hinton, Oriol Vinyals, and Jeff Dean, · 2015
Earlier work this paper cites.
“Musan: A music, speech, and noise corpus,”
David Snyder, Guoguo Chen, and Daniel Povey, · 2015
Earlier work this paper cites.
“Colorful image colorization,”
Richard Zhang, Phillip Isola, and Alexei A Efros, · 2016
Earlier work this paper cites.
“Voxceleb: a large-scale speaker identification dataset,”
Arsha Nagrani, Joon Son Chung, and Andrew Zisserman, · 2017
Earlier work this paper cites.
“Sphereface: Deep hypersphere embedding for face recognition,”
Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj, and Le Song, · 2017
Earlier work this paper cites.
“Prototypical networks for few-shot learning,”
Jake Snell, Kevin Swersky, and Richard Zemel, · 2017
Earlier work this paper cites.
“Voxceleb2: Deep speaker recognition,”
Joon Son Chung, Arsha Nagrani, and Andrew Zisserman, · 2018
Earlier work this paper cites.
“Exploring speech enhancement with generative adversarial networks for robust speech recognition,”
Chris Donahue, Bo Li, and Rohit Prabhavalkar, · 2018
Cited alongside, same era.
Ariel Ephrat, Inbar Mosseri, Oran Lang, Tali Dekel, Kevin Wilson, Avinatan Hassidim, William T Freeman, and Michael Rubinstein, · 2018
Cited alongside, same era.
“Cosface: Large margin cosine loss for deep face recognition,”
Hao Wang, Yitong Wang, Zheng Zhou, Xing Ji, Dihong Gong, Jingchao Zhou, Zhifeng Li, and Wei Liu, · 2018
Cited alongside, same era.
“Unsupervised feature learning via non-parametric instance discrimination,”
Zhirong Wu, Yuanjun Xiong, Stella X Yu, and Dahua Lin, · 2018
Cited alongside, same era.
“Representation learning with contrastive predictive coding,”
Aaron van den Oord, Yazhe Li, and Oriol Vinyals, · 2018
“Contrastive multiview coding,”
Yonglong Tian, Dilip Krishnan, and Phillip Isola, · 2019
Later among the works it cites.
“Pytorch: An imperative style, high-performance deep learning library,”
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al., · 2019
Later among the works it cites.
“In defence of metric learning for speaker recognition,”
Joon Son Chung, Jaesung Huh, Seongkyu Mun, Minjae Lee, Hee Soo Heo, Soyeon Choe, Chiheon Ham, Sunghwan Jung, Bong-Jin Lee, and Icksang Han, · 2020
Closest in time.
“Augmentation adversarial training for unsupervised speaker recognition,”
Jaesung Huh, Hee Soo Heo, Jingu Kang, Shinji Watanabe, and Joon Son Chung, · 2020
Closest in time.
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Cited alongside, same era.
“Arcface: Additive angular margin loss for deep face recognition,”
Jiankang Deng, Jia Guo, Niannan Xue, and Stefanos Zafeiriou, · 2019
Cited alongside, same era.
“Learning representations by maximizing mutual information across views,”
Philip Bachman, R Devon Hjelm, and William Buchwalter, · 2019
Cited alongside, same era.
“Voiceid loss: Speech enhancement for speaker verification,”
Suwon Shon, Hao Tang, and James Glass, · 2019
Cited alongside, same era.
Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton, · 2020
Closest in time.
“Momentum contrast for unsupervised visual representation learning,”
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, and Ross Girshick, · 2020
Closest in time.
“Disentangled speech embeddings using cross-modal self-supervision,”
Arsha Nagrani, Joon Son Chung, Samuel Albanie, and Andrew Zisserman, · 2020
Closest in time.
Nakamasa Inoue and Keita Goto, · 2020
Closest in time.