Applications, Challenges, and Future Directions of Human-in-the-Loop Learning-Reference-Cited by-同舟云学术

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Applications, Challenges, and Future Directions of Human-in-the-Loop Learning

Published:2024 Issue: Volume:12 Page:75735-75760
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Kumar Sushant¹,Datta Sumit²^ORCID,Singh Vishakha¹^ORCID,Datta Deepanwita³^ORCID,Kumar Singh Sanjay¹^ORCID,Sharma Ritesh⁴^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Indian Institute of Technology (BHU) Varanasi, Varanasi, India

2. School of Electronic Systems and Automation, Digital University Kerala (Formerly IIITM Kerala), Thiruvananthapuram, India

3. Department of Information System Management, Indian Institute of Management (IIM) Sambalpur, Sambalpur, India

4. Department of Information and Communication Technology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10530996.pdf?arnumber=10530996

Reference207 articles.

1. A survey on deep learning and its applications

2. Why do larger models generalize better? A theoretical perspective via the XOR problem;Brutzkus

3. Learning deep features for scene recognition using places database;Zhou

4. LayoutGAN: Synthesizing Graphic Layouts With Vector-Wireframe Adversarial Networks

5. Differentiable augmentation for data-efficient GAN training;Zhao

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