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. 2301.11104
  4. Cited By
Discovering and Mitigating Visual Biases through Keyword Explanation

Discovering and Mitigating Visual Biases through Keyword Explanation

26 January 2023
Younghyun Kim
Sangwoo Mo
Minkyu Kim
Kyungmin Lee
Jaeho Lee
Jinwoo Shin
ArXivPDFHTML

Papers citing "Discovering and Mitigating Visual Biases through Keyword Explanation"

29 / 29 papers shown
Title
Fine-Grained Bias Exploration and Mitigation for Group-Robust Classification
Fine-Grained Bias Exploration and Mitigation for Group-Robust Classification
Miaoyun Zhao
Qiang Zhang
C. Li
16
0
0
11 May 2025
Classifier-to-Bias: Toward Unsupervised Automatic Bias Detection for Visual Classifiers
Classifier-to-Bias: Toward Unsupervised Automatic Bias Detection for Visual Classifiers
Quentin Guimard
Moreno DÍncà
Massimiliano Mancini
Elisa Ricci
SSL
69
0
0
29 Apr 2025
Class-Conditional Distribution Balancing for Group Robust Classification
Class-Conditional Distribution Balancing for Group Robust Classification
Miaoyun Zhao
Qiang Zhang
C. Li
60
0
0
24 Apr 2025
Implicit Bias Injection Attacks against Text-to-Image Diffusion Models
Implicit Bias Injection Attacks against Text-to-Image Diffusion Models
Huayang Huang
Xiangye Jin
Jiaxu Miao
Yu Wu
29
0
0
02 Apr 2025
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
72
0
0
27 Mar 2025
Group-robust Machine Unlearning
Thomas De Min
Subhankar Roy
Stéphane Lathuilière
Elisa Ricci
Massimiliano Mancini
MU
OOD
67
0
0
12 Mar 2025
Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness
Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness
B. Zhu
Jiequan Cui
H. Zhang
Chi Zhang
65
0
0
12 Mar 2025
NeurFlow: Interpreting Neural Networks through Neuron Groups and Functional Interactions
NeurFlow: Interpreting Neural Networks through Neuron Groups and Functional Interactions
Tue Cao
Nhat X. Hoang
Hieu H. Pham
P. Nguyen
My T. Thai
67
0
0
22 Feb 2025
Diffusing DeBias: Synthetic Bias Amplification for Model Debiasing
Diffusing DeBias: Synthetic Bias Amplification for Model Debiasing
Massimiliano Ciranni
Vito Paolo Pastore
Roberto Di Via
Enzo Tartaglione
Francesca Odone
Vittorio Murino
DiffM
88
0
0
13 Feb 2025
On the Role of Model Prior in Real-World Inductive Reasoning
On the Role of Model Prior in Real-World Inductive Reasoning
Zhuo Liu
Ding Yu
Hangfeng He
LRM
74
0
0
18 Dec 2024
Curriculum-enhanced GroupDRO: Challenging the Norm of Avoiding
  Curriculum Learning in Subpopulation Shift Setups
Curriculum-enhanced GroupDRO: Challenging the Norm of Avoiding Curriculum Learning in Subpopulation Shift Setups
Antonio Barbalau
62
0
0
22 Nov 2024
WASP: A Weight-Space Approach to Detecting Learned Spuriousness
WASP: A Weight-Space Approach to Detecting Learned Spuriousness
Cristian Daniel Păduraru
Antonio Bărbălău
Radu Filipescu
Andrei Liviu Nicolicioiu
Elena Burceanu
23
0
0
24 Oct 2024
Organizing Unstructured Image Collections using Natural Language
Organizing Unstructured Image Collections using Natural Language
Mingxuan Liu
Zhun Zhong
Jun Li
Gianni Franchi
Subhankar Roy
Elisa Ricci
VLM
36
3
0
07 Oct 2024
Say My Name: a Model's Bias Discovery Framework
Say My Name: a Model's Bias Discovery Framework
Massimiliano Ciranni
Luca Molinaro
C. Barbano
A. Fiandrotti
Vittorio Murino
Vito Paolo Pastore
Enzo Tartaglione
18
0
0
18 Aug 2024
Aggregated Attributions for Explanatory Analysis of 3D Segmentation
  Models
Aggregated Attributions for Explanatory Analysis of 3D Segmentation Models
Maciej Chrabaszcz
Hubert Baniecki
Piotr Komorowski
Szymon Płotka
Przemysław Biecek
16
1
0
23 Jul 2024
Language-guided Detection and Mitigation of Unknown Dataset Bias
Language-guided Detection and Mitigation of Unknown Dataset Bias
Zaiying Zhao
Soichiro Kumano
Toshihiko Yamasaki
34
2
0
05 Jun 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
8
0
0
09 Dec 2023
PRIME: Prioritizing Interpretability in Failure Mode Extraction
PRIME: Prioritizing Interpretability in Failure Mode Extraction
Keivan Rezaei
Mehrdad Saberi
Mazda Moayeri
S. Feizi
17
6
0
29 Sep 2023
Distilling Adversarial Prompts from Safety Benchmarks: Report for the
  Adversarial Nibbler Challenge
Distilling Adversarial Prompts from Safety Benchmarks: Report for the Adversarial Nibbler Challenge
Manuel Brack
P. Schramowski
Kristian Kersting
AAML
EGVM
14
7
0
20 Sep 2023
S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist
  Captions
S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist Captions
Sangwoo Mo
Minkyu Kim
Kyungmin Lee
Jinwoo Shin
VLM
CLIP
31
15
0
23 May 2023
Breaking the Spurious Causality of Conditional Generation via Fairness
  Intervention with Corrective Sampling
Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling
J. Nam
Sangwoo Mo
Jaeho Lee
Jinwoo Shin
13
7
0
05 Dec 2022
Data Feedback Loops: Model-driven Amplification of Dataset Biases
Data Feedback Loops: Model-driven Amplification of Dataset Biases
Rohan Taori
Tatsunori B. Hashimoto
64
42
0
08 Sep 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified
  Vision-Language Understanding and Generation
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li
Dongxu Li
Caiming Xiong
S. Hoi
MLLM
BDL
VLM
CLIP
382
4,010
0
28 Jan 2022
Natural Language Descriptions of Deep Visual Features
Natural Language Descriptions of Deep Visual Features
Evan Hernandez
Sarah Schwettmann
David Bau
Teona Bagashvili
Antonio Torralba
Jacob Andreas
MILM
194
92
0
26 Jan 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,337
0
11 Nov 2021
Intriguing Properties of Vision Transformers
Intriguing Properties of Vision Transformers
Muzammal Naseer
Kanchana Ranasinghe
Salman Khan
Munawar Hayat
F. Khan
Ming-Hsuan Yang
ViT
248
512
0
21 May 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
283
5,723
0
29 Apr 2021
Estimating Example Difficulty Using Variance of Gradients
Estimating Example Difficulty Using Variance of Gradients
Chirag Agarwal
Daniel D'souza
Sara Hooker
190
103
0
26 Aug 2020
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
286
4,143
0
23 Aug 2019
1