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. 2309.17430
  4. Cited By
FACTS: First Amplify Correlations and Then Slice to Discover Bias

FACTS: First Amplify Correlations and Then Slice to Discover Bias

29 September 2023
Sriram Yenamandra
Baifeng Shi
Trevor Darrell
Judy Hoffman
    CML
ArXivPDFHTML

Papers citing "FACTS: First Amplify Correlations and Then Slice to Discover Bias"

14 / 14 papers shown
Title
On Large Multimodal Models as Open-World Image Classifiers
On Large Multimodal Models as Open-World Image Classifiers
Alessandro Conti
Massimiliano Mancini
Enrico Fini
Yiming Wang
Paolo Rota
Elisa Ricci
VLM
Presented at ResearchTrend Connect | VLM on 07 May 2025
89
0
0
27 Mar 2025
Subgroup Performance Analysis in Hidden Stratifications
Alceu Bissoto
Trung-Dung Hoang
Tim Flühmann
Susu Sun
Christian F. Baumgartner
Lisa M. Koch
OOD
60
0
0
13 Mar 2025
Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions
Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions
Doaa Mahmud
Hadeel Hajmohamed
Shamma Almentheri
Shamma Alqaydi
Lameya Aldhaheri
R. A. Khalil
Nasir Saeed
AI4TS
51
5
0
08 Jan 2025
Multi-View Incongruity Learning for Multimodal Sarcasm Detection
Multi-View Incongruity Learning for Multimodal Sarcasm Detection
Diandian Guo
Cong Cao
Fangfang Yuan
Yanbing Liu
Guangjie Zeng
Xiaoyan Yu
Hao Peng
Philip S. Yu
78
1
0
01 Dec 2024
Distributionally robust self-supervised learning for tabular data
Distributionally robust self-supervised learning for tabular data
Shantanu Ghosh
Tiankang Xie
Mikhail Kuznetsov
OOD
29
1
0
11 Oct 2024
Visual Data Diagnosis and Debiasing with Concept Graphs
Visual Data Diagnosis and Debiasing with Concept Graphs
Rwiddhi Chakraborty
Yinong Wang
Jialu Gao
Runkai Zheng
Cheng Zhang
Fernando de la Torre
37
2
0
26 Sep 2024
Efficient Bias Mitigation Without Privileged Information
Efficient Bias Mitigation Without Privileged Information
Mateo Espinosa Zarlenga
Swami Sankaranarayanan
Jerone T. A. Andrews
Z. Shams
M. Jamnik
Alice Xiang
42
3
0
26 Sep 2024
Fairness and Bias Mitigation in Computer Vision: A Survey
Fairness and Bias Mitigation in Computer Vision: A Survey
Sepehr Dehdashtian
Ruozhen He
Yi Li
Guha Balakrishnan
Nuno Vasconcelos
Vicente Ordonez
Vishnu Boddeti
42
4
0
05 Aug 2024
LADDER: Language Driven Slice Discovery and Error Rectification
LADDER: Language Driven Slice Discovery and Error Rectification
Shantanu Ghosh
Rayan Syed
Chenyu Wang
Clare B. Poynton
Kayhan Batmanghelich
44
0
0
31 Jul 2024
ViG-Bias: Visually Grounded Bias Discovery and Mitigation
ViG-Bias: Visually Grounded Bias Discovery and Mitigation
Badr-Eddine Marani
Mohamed Hanini
Nihitha Malayarukil
Stergios Christodoulidis
Maria Vakalopoulou
Enzo Ferrante
24
0
0
02 Jul 2024
Towards Real-world Debiasing: Rethinking Evaluation, Challenge, and Solution
Towards Real-world Debiasing: Rethinking Evaluation, Challenge, and Solution
Peng Kuang
Zhibo Wang
Zhixuan Chu
Jingyi Wang
Kui Ren
CML
29
2
0
24 May 2024
Spurious Correlations in Machine Learning: A Survey
Spurious Correlations in Machine Learning: A Survey
Wenqian Ye
Guangtao Zheng
Xu Cao
Yunsheng Ma
Aidong Zhang
OOD
AAML
CML
39
36
0
20 Feb 2024
Language-assisted Vision Model Debugger: A Sample-Free Approach to
  Finding and Fixing Bugs
Language-assisted Vision Model Debugger: A Sample-Free Approach to Finding and Fixing Bugs
Chaoquan Jiang
Jinqiang Wang
Rui Hu
Jitao Sang
32
0
0
09 Dec 2023
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
163
25,296
0
09 Jun 2011
1