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Self-supervised Graphs for Audio Representation Learning with Limited
  Labeled Data
v1v2 (latest)

Self-supervised Graphs for Audio Representation Learning with Limited Labeled Data

31 January 2022
A. Shirian
Krishna Somandepalli
T. Guha
    SSL
ArXiv (abs)PDFHTML

Papers citing "Self-supervised Graphs for Audio Representation Learning with Limited Labeled Data"

41 / 41 papers shown
Title
Neural Analysis and Synthesis: Reconstructing Speech from
  Self-Supervised Representations
Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations
Hyeong-Seok Choi
Juheon Lee
W. Kim
Jie Hwan Lee
Hoon Heo
Kyogu Lee
98
158
0
27 Oct 2021
SSAST: Self-Supervised Audio Spectrogram Transformer
SSAST: Self-Supervised Audio Spectrogram Transformer
Yuan Gong
Cheng-I Jeff Lai
Yu-An Chung
James R. Glass
ViT
79
276
0
19 Oct 2021
SERAB: A multi-lingual benchmark for speech emotion recognition
SERAB: A multi-lingual benchmark for speech emotion recognition
Neil Scheidwasser
M. Kegler
P. Beckmann
Milos Cernak
69
45
0
07 Oct 2021
Fusion with Hierarchical Graphs for Mulitmodal Emotion Recognition
Fusion with Hierarchical Graphs for Mulitmodal Emotion Recognition
Shuyun Tang
Zhaojie Luo
Guoshun Nan
Yuichiro Yoshikawa
H. Ishiguro
66
11
0
15 Sep 2021
HuBERT: Self-Supervised Speech Representation Learning by Masked
  Prediction of Hidden Units
HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units
Wei-Ning Hsu
Benjamin Bolte
Yao-Hung Hubert Tsai
Kushal Lakhotia
Ruslan Salakhutdinov
Abdel-rahman Mohamed
SSL
184
2,993
0
14 Jun 2021
SUPERB: Speech processing Universal PERformance Benchmark
SUPERB: Speech processing Universal PERformance Benchmark
Shu-Wen Yang
Po-Han Chi
Yung-Sung Chuang
Cheng-I Jeff Lai
Kushal Lakhotia
...
Shuyan Dong
Shang-Wen Li
Shinji Watanabe
Abdel-rahman Mohamed
Hung-yi Lee
SSL
108
941
0
03 May 2021
VATT: Transformers for Multimodal Self-Supervised Learning from Raw
  Video, Audio and Text
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
Hassan Akbari
Liangzhe Yuan
Rui Qian
Wei-Hong Chuang
Shih-Fu Chang
Huayu Chen
Boqing Gong
ViT
326
589
0
22 Apr 2021
AST: Audio Spectrogram Transformer
AST: Audio Spectrogram Transformer
Yuan Gong
Yu-An Chung
James R. Glass
ViT
138
882
0
05 Apr 2021
BYOL for Audio: Self-Supervised Learning for General-Purpose Audio
  Representation
BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation
Daisuke Niizumi
Daiki Takeuchi
Yasunori Ohishi
Noboru Harada
K. Kashino
SSL
77
179
0
11 Mar 2021
Multi-Channel Speech Enhancement using Graph Neural Networks
Multi-Channel Speech Enhancement using Graph Neural Networks
Panagiotis Tzirakis
Anurag Kumar
Jacob Donley
60
38
0
13 Feb 2021
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural
  Networks
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks
Bahare Fatemi
Layla El Asri
Seyed Mehran Kazemi
GNNSSL
106
165
0
09 Feb 2021
Speech SIMCLR: Combining Contrastive and Reconstruction Objective for
  Self-supervised Speech Representation Learning
Speech SIMCLR: Combining Contrastive and Reconstruction Objective for Self-supervised Speech Representation Learning
Dongwei Jiang
Wubo Li
Miao Cao
Wei Zou
Xiangang Li
SSL
67
65
0
27 Oct 2020
Semi-supervised Multi-modal Emotion Recognition with Cross-Modal
  Distribution Matching
Semi-supervised Multi-modal Emotion Recognition with Cross-Modal Distribution Matching
Jingjun Liang
Ruichen Li
Qin Jin
56
58
0
05 Sep 2020
Advancing Multiple Instance Learning with Attention Modeling for
  Categorical Speech Emotion Recognition
Advancing Multiple Instance Learning with Attention Modeling for Categorical Speech Emotion Recognition
Shuiyang Mao
P. Ching
C.-C. Jay Kuo
Tan Lee
32
11
0
15 Aug 2020
Compact Graph Architecture for Speech Emotion Recognition
Compact Graph Architecture for Speech Emotion Recognition
A. Shirian
T. Guha
GNN
39
40
0
05 Aug 2020
Minimal Variance Sampling with Provable Guarantees for Fast Training of
  Graph Neural Networks
Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural Networks
Weilin Cong
R. Forsati
M. Kandemir
M. Mahdavi
88
87
0
24 Jun 2020
Subgraph Neural Networks
Subgraph Neural Networks
Emily Alsentzer
S. G. Finlayson
Michelle M. Li
Marinka Zitnik
GNN
134
138
0
18 Jun 2020
Self-supervised Learning on Graphs: Deep Insights and New Direction
Self-supervised Learning on Graphs: Deep Insights and New Direction
Wei Jin
Hanyu Wang
Haochen Liu
Yiqi Wang
Suhang Wang
Zitao Liu
Jiliang Tang
SSL
60
178
0
17 Jun 2020
Graph Meta Learning via Local Subgraphs
Graph Meta Learning via Local Subgraphs
Kexin Huang
Marinka Zitnik
91
166
0
14 Jun 2020
Self-supervised Training of Graph Convolutional Networks
Self-supervised Training of Graph Convolutional Networks
Qikui Zhu
Bo Du
Pingkun Yan
SSLGNN
55
45
0
03 Jun 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
Maja Pantic
SSL
72
28
0
04 May 2020
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
484
950
0
02 Mar 2020
Disentangled Speech Embeddings using Cross-modal Self-supervision
Disentangled Speech Embeddings using Cross-modal Self-supervision
Arsha Nagrani
Joon Son Chung
Samuel Albanie
Andrew Zisserman
SSL
73
88
0
20 Feb 2020
An Ontology-Aware Framework for Audio Event Classification
An Ontology-Aware Framework for Audio Event Classification
Yiwei Sun
Shabnam Ghaffarzadegan
43
23
0
27 Jan 2020
PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern
  Recognition
PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition
Qiuqiang Kong
Yin Cao
Turab Iqbal
Yuxuan Wang
Wenwu Wang
Mark D. Plumbley
VLMSSL
194
1,084
0
21 Dec 2019
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
315
2,392
0
11 Nov 2019
Secost: Sequential co-supervision for large scale weakly labeled audio
  event detection
Secost: Sequential co-supervision for large scale weakly labeled audio event detection
Anurag Kumar
V. Ithapu
NoLa
69
7
0
25 Oct 2019
Measuring and Relieving the Over-smoothing Problem for Graph Neural
  Networks from the Topological View
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View
Deli Chen
Yankai Lin
Wei Li
Peng Li
Jie Zhou
Xu Sun
94
1,111
0
07 Sep 2019
GraphSAINT: Graph Sampling Based Inductive Learning Method
GraphSAINT: Graph Sampling Based Inductive Learning Method
Hanqing Zeng
Hongkuan Zhou
Ajitesh Srivastava
Rajgopal Kannan
Viktor Prasanna
GNN
137
968
0
10 Jul 2019
Learning Problem-agnostic Speech Representations from Multiple
  Self-supervised Tasks
Learning Problem-agnostic Speech Representations from Multiple Self-supervised Tasks
Santiago Pascual
Mirco Ravanelli
Joan Serrà
Antonio Bonafonte
Yoshua Bengio
SSL
126
251
0
06 Apr 2019
SGR: Self-Supervised Spectral Graph Representation Learning
SGR: Self-Supervised Spectral Graph Representation Learning
Anton Tsitsulin
Davide Mottin
Panagiotis Karras
A. Bronstein
Emmanuel Müller
SSL
40
6
0
15 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,175
0
11 Oct 2018
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
257
7,695
0
01 Oct 2018
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRLSSL
351
10,356
0
10 Jul 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
481
20,233
0
30 Oct 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
514
15,319
0
07 Jun 2017
Very Deep Convolutional Neural Networks for Raw Waveforms
Very Deep Convolutional Neural Networks for Raw Waveforms
Wei Dai
Chia Dai
Shuhui Qu
Juncheng Billy Li
Samarjit Das
115
344
0
01 Oct 2016
CNN Architectures for Large-Scale Audio Classification
CNN Architectures for Large-Scale Audio Classification
Shawn Hershey
Sourish Chaudhuri
D. Ellis
J. Gemmeke
A. Jansen
...
Rif A. Saurous
Bryan Seybold
M. Slaney
Ron J. Weiss
K. Wilson
128
2,507
0
29 Sep 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
662
29,156
0
09 Sep 2016
Unsupervised Visual Representation Learning by Context Prediction
Unsupervised Visual Representation Learning by Context Prediction
Carl Doersch
Abhinav Gupta
Alexei A. Efros
DRLSSL
169
2,789
0
19 May 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,508
0
04 Sep 2014
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