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Active Learning for Speech Recognition: the Power of Gradients

Active Learning for Speech Recognition: the Power of Gradients

10 December 2016
Jiaji Huang
R. Child
Vinay Rao
Hairong Liu
S. Satheesh
Adam Coates
    VLM
ArXiv (abs)PDFHTML

Papers citing "Active Learning for Speech Recognition: the Power of Gradients"

24 / 24 papers shown
Title
Combining X-Vectors and Bayesian Batch Active Learning: Two-Stage Active Learning Pipeline for Speech Recognition
Combining X-Vectors and Bayesian Batch Active Learning: Two-Stage Active Learning Pipeline for Speech Recognition
O. Kundacina
V. Vincan
D. Mišković
BDL
133
1
0
03 May 2024
Diversity Measurement and Subset Selection for Instruction Tuning
  Datasets
Diversity Measurement and Subset Selection for Instruction Tuning Datasets
Peiqi Wang
Songlin Yang
Zhen Guo
Matt Stallone
Yoon Kim
Polina Golland
Yikang Shen
77
12
0
04 Feb 2024
Smooth Sailing: Improving Active Learning for Pre-trained Language
  Models with Representation Smoothness Analysis
Smooth Sailing: Improving Active Learning for Pre-trained Language Models with Representation Smoothness Analysis
Josip Jukić
Jan Snajder
78
5
0
20 Dec 2022
Active Learning of Non-semantic Speech Tasks with Pretrained Models
Active Learning of Non-semantic Speech Tasks with Pretrained Models
Harlin Lee
Aaqib Saeed
Andrea L. Bertozzi
VLM
38
2
0
31 Oct 2022
A Survey of Active Learning for Natural Language Processing
A Survey of Active Learning for Natural Language Processing
Zhisong Zhang
Emma Strubell
Eduard H. Hovy
LM&MA
100
68
0
18 Oct 2022
VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose
  Estimation
VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimation
Megh Shukla
Roshan Roy
Pankaj Singh
Shuaib Ahmed
Alexandre Alahi
82
13
0
12 Oct 2022
Distribution Aware Metrics for Conditional Natural Language Generation
Distribution Aware Metrics for Conditional Natural Language Generation
David M. Chan
Yiming Ni
David A. Ross
Sudheendra Vijayanarasimhan
Austin Myers
John F. Canny
77
4
0
15 Sep 2022
Unifying Approaches in Active Learning and Active Sampling via Fisher
  Information and Information-Theoretic Quantities
Unifying Approaches in Active Learning and Active Sampling via Fisher Information and Information-Theoretic Quantities
Andreas Kirsch
Y. Gal
FedML
95
23
0
01 Aug 2022
Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class
  Annealing
Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class Annealing
Renyu Zhang
Aly A. Khan
Robert L. Grossman
Yuxin Chen
BDL
49
2
0
27 Dec 2021
Deep Active Learning by Leveraging Training Dynamics
Deep Active Learning by Leveraging Training Dynamics
Haonan Wang
Wei Huang
Ziwei Wu
A. Margenot
Hanghang Tong
Jingrui He
AI4CE
64
34
0
16 Oct 2021
Utterance-level neural confidence measure for end-to-end children speech
  recognition
Utterance-level neural confidence measure for end-to-end children speech recognition
W. Liu
Tan Lee
51
5
0
16 Sep 2021
Deep Active Learning for Text Classification with Diverse
  Interpretations
Deep Active Learning for Text Classification with Diverse Interpretations
Qiang Liu
Yanqiao Zhu
Zhaocheng Liu
Yufeng Zhang
Shu Wu
AI4CE
50
15
0
15 Aug 2021
Multi-class Text Classification using BERT-based Active Learning
Multi-class Text Classification using BERT-based Active Learning
Sumanth Prabhu
Moosa Mohamed
Hemant Misra
72
39
0
27 Apr 2021
Active Learning to Classify Macromolecular Structures in situ for Less
  Supervision in Cryo-Electron Tomography
Active Learning to Classify Macromolecular Structures in situ for Less Supervision in Cryo-Electron Tomography
Xuefeng Du
Haohan Wang
Zhenxi Zhu
Xiangrui Zeng
Yi-Wei Chang
Jing Zhang
Min Xu
28
11
0
24 Feb 2021
Active Deep Learning on Entity Resolution by Risk Sampling
Active Deep Learning on Entity Resolution by Risk Sampling
Youcef Nafa
Qun Chen
Zhaoqiang Chen
Xingyu Lu
Haiyang He
Tianyi Duan
Zhanhuai Li
78
17
0
23 Dec 2020
Batch Decorrelation for Active Metric Learning
Batch Decorrelation for Active Metric Learning
Priyadarshini Kumari
Ritesh Goru
Siddhartha Chaudhuri
Subhasis Chaudhuri
53
7
0
20 May 2020
Active and Incremental Learning with Weak Supervision
Active and Incremental Learning with Weak Supervision
C. Brust
Christoph Käding
Joachim Denzler
CLL
49
18
0
20 Jan 2020
Deep Representation Learning in Speech Processing: Challenges, Recent
  Advances, and Future Trends
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends
S. Latif
R. Rana
Sara Khalifa
Raja Jurdak
Junaid Qadir
Björn W. Schuller
AI4TS
96
82
0
02 Jan 2020
Deep Active Learning: Unified and Principled Method for Query and
  Training
Deep Active Learning: Unified and Principled Method for Query and Training
Changjian Shui
Fan Zhou
Christian Gagné
Boyu Wang
FedML
102
153
0
20 Nov 2019
Lead2Gold: Towards exploiting the full potential of noisy transcriptions
  for speech recognition
Lead2Gold: Towards exploiting the full potential of noisy transcriptions for speech recognition
Adrien Dufraux
Emmanuel Vincent
Awni Y. Hannun
Armelle Brun
Matthijs Douze
52
9
0
16 Oct 2019
Fine-Tuning Language Models from Human Preferences
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler
Nisan Stiennon
Jeff Wu
Tom B. Brown
Alec Radford
Dario Amodei
Paul Christiano
G. Irving
ALM
505
1,775
0
18 Sep 2019
Discriminative Active Learning
Discriminative Active Learning
Daniel Gissin
Shai Shalev-Shwartz
77
179
0
15 Jul 2019
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds
Jordan T. Ash
Chicheng Zhang
A. Krishnamurthy
John Langford
Alekh Agarwal
BDLUQCV
107
780
0
09 Jun 2019
Active Learning for Deep Object Detection
Active Learning for Deep Object Detection
C. Brust
Christoph Käding
Joachim Denzler
VLMObjD
68
118
0
26 Sep 2018
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