ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1901.01379
  4. Cited By
Deep Reinforcement Learning for Imbalanced Classification

Deep Reinforcement Learning for Imbalanced Classification

5 January 2019
Enlu Lin
Qiong Chen
Xiaoming Qi
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Deep Reinforcement Learning for Imbalanced Classification"

10 / 10 papers shown
Title
Reinforcement Learning for Relation Classification from Noisy Data
Reinforcement Learning for Relation Classification from Noisy Data
Jun Feng
Minlie Huang
Li Zhao
Yang Yang
Xiaoyan Zhu
NoLa
61
343
0
24 Aug 2018
Deep Reinforcement Learning for Surgical Gesture Segmentation and
  Classification
Deep Reinforcement Learning for Surgical Gesture Segmentation and Classification
Daochang Liu
Tingting Jiang
80
63
0
21 Jun 2018
Imbalanced Deep Learning by Minority Class Incremental Rectification
Imbalanced Deep Learning by Minority Class Incremental Rectification
Qi Dong
S. Gong
Xiatian Zhu
47
329
0
28 Apr 2018
Deep Reinforcement Learning for List-wise Recommendations
Deep Reinforcement Learning for List-wise Recommendations
Xiangyu Zhao
Li Zhang
Yue Zhao
Zhuoye Ding
Dawei Yin
Jiliang Tang
56
173
0
30 Dec 2017
Classification with Costly Features using Deep Reinforcement Learning
Classification with Costly Features using Deep Reinforcement Learning
Jaromír Janisch
Tomás Pevný
Viliam Lisý
OffRL
43
98
0
20 Nov 2017
Deep Reinforcement Learning for Robotic Manipulation with Asynchronous
  Off-Policy Updates
Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates
S. Gu
E. Holly
Timothy Lillicrap
Sergey Levine
OffRLSSL
116
1,482
0
03 Oct 2016
Cost Sensitive Learning of Deep Feature Representations from Imbalanced
  Data
Cost Sensitive Learning of Deep Feature Representations from Imbalanced Data
Salman H. Khan
Munawar Hayat
Bennamoun
Ferdous Sohel
R. Togneri
74
884
0
14 Aug 2015
Should we really use post-hoc tests based on mean-ranks?
Should we really use post-hoc tests based on mean-ranks?
A. Benavoli
Giorgio Corani
Francesca Mangili
50
380
0
09 May 2015
Playing Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
127
12,261
0
19 Dec 2013
Practical recommendations for gradient-based training of deep
  architectures
Practical recommendations for gradient-based training of deep architectures
Yoshua Bengio
3DHODL
193
2,201
0
24 Jun 2012
1