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. 1904.07911
  4. Cited By
REPAIR: Removing Representation Bias by Dataset Resampling

REPAIR: Removing Representation Bias by Dataset Resampling

16 April 2019
Yi Li
Nuno Vasconcelos
    FaML
ArXivPDFHTML

Papers citing "REPAIR: Removing Representation Bias by Dataset Resampling"

14 / 64 papers shown
Title
FINE Samples for Learning with Noisy Labels
FINE Samples for Learning with Noisy Labels
Taehyeon Kim
Jongwoo Ko
Sangwook Cho
J. Choi
Se-Young Yun
NoLa
38
103
0
23 Feb 2021
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles
Christopher Clark
Mark Yatskar
Luke Zettlemoyer
26
61
0
07 Nov 2020
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing
  Functional Entropies
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies
Itai Gat
Idan Schwartz
Alex Schwing
Tamir Hazan
60
90
0
21 Oct 2020
Pose And Joint-Aware Action Recognition
Pose And Joint-Aware Action Recognition
Anshul B. Shah
Shlok Kumar Mishra
Ankan Bansal
Jun-Cheng Chen
Ramalingam Chellappa
Abhinav Shrivastava
44
33
0
16 Oct 2020
Dataset Cartography: Mapping and Diagnosing Datasets with Training
  Dynamics
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics
Swabha Swayamdipta
Roy Schwartz
Nicholas Lourie
Yizhong Wang
Hannaneh Hajishirzi
Noah A. Smith
Yejin Choi
54
429
0
22 Sep 2020
CogTree: Cognition Tree Loss for Unbiased Scene Graph Generation
CogTree: Cognition Tree Loss for Unbiased Scene Graph Generation
Jiahao Yu
Yuan Chai
Yujing Wang
Yue Hu
Qi Wu
CML
38
111
0
16 Sep 2020
Products-10K: A Large-scale Product Recognition Dataset
Products-10K: A Large-scale Product Recognition Dataset
Yalong Bai
Yuxiang Chen
Wei Yu
Linfang Wang
Wei Zhang
44
44
0
24 Aug 2020
Cascaded deep monocular 3D human pose estimation with evolutionary
  training data
Cascaded deep monocular 3D human pose estimation with evolutionary training data
Shichao Li
Lei Ke
Kevin Pratama
Yu-Wing Tai
Chi-Keung Tang
Kwang-Ting Cheng
3DH
19
155
0
14 Jun 2020
Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders
Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders
Saeid Asgari Taghanaki
Mohammad Havaei
Alex Lamb
Aditya Sanghi
Aram Danielyan
Tonya Custis
DRL
38
7
0
12 May 2020
DQI: Measuring Data Quality in NLP
DQI: Measuring Data Quality in NLP
Swaroop Mishra
Anjana Arunkumar
Bhavdeep Singh Sachdeva
Chris Bryan
Chitta Baral
36
30
0
02 May 2020
Unbiased Scene Graph Generation from Biased Training
Unbiased Scene Graph Generation from Biased Training
Kaihua Tang
Yulei Niu
Jianqiang Huang
Jiaxin Shi
Hanwang Zhang
CML
22
682
0
27 Feb 2020
Adversarial Filters of Dataset Biases
Adversarial Filters of Dataset Biases
Ronan Le Bras
Swabha Swayamdipta
Chandra Bhagavatula
Rowan Zellers
Matthew E. Peters
Ashish Sabharwal
Yejin Choi
36
220
0
10 Feb 2020
Towards Fairness in Visual Recognition: Effective Strategies for Bias
  Mitigation
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation
Zeyu Wang
Klint Qinami
Yannis Karakozis
Kyle Genova
P. Nair
Kenji Hata
Olga Russakovsky
38
357
0
26 Nov 2019
Learning De-biased Representations with Biased Representations
Learning De-biased Representations with Biased Representations
Hyojin Bahng
Sanghyuk Chun
Sangdoo Yun
Jaegul Choo
Seong Joon Oh
OOD
312
276
0
07 Oct 2019
Previous
12