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Untangling in Invariant Speech Recognition

Untangling in Invariant Speech Recognition

Neural Information Processing Systems (NeurIPS), 2020
3 March 2020
Cory Stephenson
J. Feather
Suchismita Padhy
Oguz H. Elibol
Hanlin Tang
Josh H. McDermott
SueYeon Chung
    SSL
ArXiv (abs)PDFHTML

Papers citing "Untangling in Invariant Speech Recognition"

28 / 28 papers shown
Analyzing the relationships between pretraining language, phonetic, tonal, and speaker information in self-supervised speech models
Analyzing the relationships between pretraining language, phonetic, tonal, and speaker information in self-supervised speech models
Michele Gubian
Ioana Krehan
Oli Danyi Liu
James Kirby
Sharon Goldwater
SSL
333
1
0
12 Jun 2025
The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models
The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2025
Artem Kirsanov
Chi-Ning Chou
Kyunghyun Cho
SueYeon Chung
AI4CE
239
13
0
11 Feb 2025
Orthogonality and isotropy of speaker and phonetic information in
  self-supervised speech representations
Orthogonality and isotropy of speaker and phonetic information in self-supervised speech representations
Mukhtar Mohamed
Oli Danyi Liu
Hao Tang
Sharon Goldwater
SSL
319
10
0
13 Jun 2024
What is Memory? A Homological Perspective
What is Memory? A Homological Perspective
Xin Li
381
0
0
07 Mar 2023
Learning Efficient Coding of Natural Images with Maximum Manifold
  Capacity Representations
Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations
T. Yerxa
Yilun Kuang
Eero P. Simoncelli
SueYeon Chung
336
0
0
06 Mar 2023
pMCT: Patched Multi-Condition Training for Robust Speech Recognition
pMCT: Patched Multi-Condition Training for Robust Speech RecognitionInterspeech (Interspeech), 2022
Pablo Peso Parada
A. Dobrowolska
Karthikeyan P. Saravanan
Mete Ozay
264
11
0
11 Jul 2022
XMD: An Expansive Hardware-telemetry based Mobile Malware Detector to
  enhance Endpoint Detection
XMD: An Expansive Hardware-telemetry based Mobile Malware Detector to enhance Endpoint DetectionIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022
H. Kumar
Biswadeep Chakraborty
Sudarshan Sharma
Saibal Mukhopadhyay
324
3
0
24 Jun 2022
Toward a realistic model of speech processing in the brain with
  self-supervised learning
Toward a realistic model of speech processing in the brain with self-supervised learningNeural Information Processing Systems (NeurIPS), 2022
Juliette Millet
Charlotte Caucheteux
Pierre Orhan
Yves Boubenec
Alexandre Gramfort
Ewan Dunbar
Christophe Pallier
J. King
331
138
0
03 Jun 2022
Neural Population Geometry Reveals the Role of Stochasticity in Robust
  Perception
Neural Population Geometry Reveals the Role of Stochasticity in Robust PerceptionNeural Information Processing Systems (NeurIPS), 2021
Joel Dapello
J. Feather
Hang Le
Tiago Marques
David D. Cox
Josh H. McDermott
J. DiCarlo
SueYeon Chung
AAMLOOD
154
27
0
12 Nov 2021
Understanding the Logit Distributions of Adversarially-Trained Deep
  Neural Networks
Understanding the Logit Distributions of Adversarially-Trained Deep Neural Networks
Landan Seguin
A. Ndirango
Neeli Mishra
SueYeon Chung
Tyler Lee
OOD
202
2
0
26 Aug 2021
On the geometry of generalization and memorization in deep neural
  networks
On the geometry of generalization and memorization in deep neural networksInternational Conference on Learning Representations (ICLR), 2021
Cory Stephenson
Suchismita Padhy
Abhinav Ganesh
Yue Hui
Hanlin Tang
SueYeon Chung
TDIAI4CE
264
94
0
30 May 2021
Automated Mathematical Equation Structure Discovery for Visual Analysis
Automated Mathematical Equation Structure Discovery for Visual Analysis
Caroline Silva
José Souza
A. Vacavant
T. Bouwmans
A. Sobral
294
0
0
17 Apr 2021
Neural population geometry: An approach for understanding biological and
  artificial neural networks
Neural population geometry: An approach for understanding biological and artificial neural networksCurrent Opinion in Neurobiology (Curr Opin Neurobiol), 2021
SueYeon Chung
L. F. Abbott
AI4CE
456
264
0
14 Apr 2021
Learning Defense Transformers for Counterattacking Adversarial Examples
Learning Defense Transformers for Counterattacking Adversarial Examples
Jincheng Li
Jingyun Liang
Yifan Zhang
Jian Chen
Zhuliang Yu
AAML
168
4
0
13 Mar 2021
Emergence of Separable Manifolds in Deep Language Representations
Emergence of Separable Manifolds in Deep Language RepresentationsInternational Conference on Machine Learning (ICML), 2020
Jonathan Mamou
Hang Le
Miguel Angel del Rio
Cory Stephenson
Hanlin Tang
Yoon Kim
SueYeon Chung
AAMLAI4CE
431
52
0
01 Jun 2020
Analyzing biological and artificial neural networks: challenges with
  opportunities for synergy?
Analyzing biological and artificial neural networks: challenges with opportunities for synergy?
David Barrett
Ari S. Morcos
Jakob H. Macke
AI4CE
208
124
0
31 Oct 2018
Analyzing Learned Representations of a Deep ASR Performance Prediction
  Model
Analyzing Learned Representations of a Deep ASR Performance Prediction Model
Z. Elloumi
Laurent Besacier
Olivier Galibert
Benjamin Lecouteux
256
14
0
26 Aug 2018
Classification and Geometry of General Perceptual Manifolds
Classification and Geometry of General Perceptual Manifolds
SueYeon Chung
Daniel D. Lee
H. Sompolinsky
404
180
0
17 Oct 2017
Analyzing Hidden Representations in End-to-End Automatic Speech
  Recognition Systems
Analyzing Hidden Representations in End-to-End Automatic Speech Recognition Systems
Yonatan Belinkov
James R. Glass
155
94
0
13 Sep 2017
Deep Speaker: an End-to-End Neural Speaker Embedding System
Deep Speaker: an End-to-End Neural Speaker Embedding System
Chao Li
Xiaokong Ma
B. Jiang
Xiangang Li
Xuewei Zhang
Xiao-Chang Liu
Ying Cao
Ajay Kannan
Zhenyao Zhu
250
525
0
05 May 2017
Gate Activation Signal Analysis for Gated Recurrent Neural Networks and
  Its Correlation with Phoneme Boundaries
Gate Activation Signal Analysis for Gated Recurrent Neural Networks and Its Correlation with Phoneme Boundaries
Yu-Hsuan Wang
Cheng-Tao Chung
Hung-yi Lee
199
41
0
22 Mar 2017
Exponential expressivity in deep neural networks through transient chaos
Exponential expressivity in deep neural networks through transient chaos
Ben Poole
Subhaneil Lahiri
M. Raghu
Jascha Narain Sohl-Dickstein
Surya Ganguli
527
653
0
16 Jun 2016
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
Dario Amodei
Rishita Anubhai
Eric Battenberg
Carl Case
Jared Casper
...
Chong-Jun Wang
Bo Xiao
Dani Yogatama
J. Zhan
Zhenyao Zhu
1.6K
3,130
0
08 Dec 2015
Linear Readout of Object Manifolds
Linear Readout of Object Manifolds
SueYeon Chung
Daniel D. Lee
H. Sompolinsky
249
44
0
06 Dec 2015
Convergent Learning: Do different neural networks learn the same
  representations?
Convergent Learning: Do different neural networks learn the same representations?
Shouqing Yang
J. Yosinski
Jeff Clune
Hod Lipson
John E. Hopcroft
SSL
423
412
0
24 Nov 2015
Geodesics of learned representations
Geodesics of learned representations
Olivier J. Hénaff
Eero P. Simoncelli
319
54
0
19 Nov 2015
Deep Neural Networks with Random Gaussian Weights: A Universal
  Classification Strategy?
Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?
Raja Giryes
Guillermo Sapiro
A. Bronstein
714
190
0
30 Apr 2015
Statistical mechanics of complex neural systems and high dimensional
  data
Statistical mechanics of complex neural systems and high dimensional data
Madhu S. Advani
Subhaneil Lahiri
Surya Ganguli
AI4CE
276
78
0
30 Jan 2013
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