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. 2012.01750
  4. Cited By
Understanding Failures of Deep Networks via Robust Feature Extraction

Understanding Failures of Deep Networks via Robust Feature Extraction

3 December 2020
Sahil Singla
Besmira Nushi
S. Shah
Ece Kamar
Eric Horvitz
    FAtt
ArXivPDFHTML

Papers citing "Understanding Failures of Deep Networks via Robust Feature Extraction"

49 / 49 papers shown
Title
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
72
0
0
29 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
84
0
0
27 Mar 2025
Attention IoU: Examining Biases in CelebA using Attention Maps
Attention IoU: Examining Biases in CelebA using Attention Maps
Aaron Serianni
Tyler Zhu
Olga Russakovsky
V. V. Ramaswamy
45
0
0
25 Mar 2025
RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned
  Vision-Language Models
RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models
Maya Varma
Jean-Benoit Delbrouck
Zhihong Chen
Akshay S. Chaudhari
C. Langlotz
VLM
46
6
0
06 Nov 2024
Unearthing Skill-Level Insights for Understanding Trade-Offs of
  Foundation Models
Unearthing Skill-Level Insights for Understanding Trade-Offs of Foundation Models
Mazda Moayeri
Vidhisha Balachandran
Varun Chandrasekaran
Safoora Yousefi
Thomas Fel
S. Feizi
Besmira Nushi
Neel Joshi
Vibhav Vineet
32
2
0
17 Oct 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
39
0
0
31 Jul 2024
A Multimodal Automated Interpretability Agent
A Multimodal Automated Interpretability Agent
Tamar Rott Shaham
Sarah Schwettmann
Franklin Wang
Achyuta Rajaram
Evan Hernandez
Jacob Andreas
Antonio Torralba
34
17
0
22 Apr 2024
Diffexplainer: Towards Cross-modal Global Explanations with Diffusion
  Models
Diffexplainer: Towards Cross-modal Global Explanations with Diffusion Models
M. Pennisi
Giovanni Bellitto
S. Palazzo
Mubarak Shah
C. Spampinato
DiffM
21
0
0
03 Apr 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
24
0
0
09 Dec 2023
Identifying and Mitigating Model Failures through Few-shot CLIP-aided
  Diffusion Generation
Identifying and Mitigating Model Failures through Few-shot CLIP-aided Diffusion Generation
Atoosa Malemir Chegini
S. Feizi
VLM
40
4
0
09 Dec 2023
Error Discovery by Clustering Influence Embeddings
Error Discovery by Clustering Influence Embeddings
Fulton Wang
Julius Adebayo
Sarah Tan
Diego Garcia-Olano
Narine Kokhlikyan
21
3
0
07 Dec 2023
Detecting algorithmic bias in medical-AI models using trees
Detecting algorithmic bias in medical-AI models using trees
Jeffrey Smith
Andre L. Holder
Rishikesan Kamaleswaran
Yao Xie
32
1
0
05 Dec 2023
Probing clustering in neural network representations
Probing clustering in neural network representations
Thao Nguyen
Simon Kornblith
32
1
0
14 Nov 2023
Detecting Spurious Correlations via Robust Visual Concepts in Real and
  AI-Generated Image Classification
Detecting Spurious Correlations via Robust Visual Concepts in Real and AI-Generated Image Classification
Preetam Prabhu Srikar Dammu
Chirag Shah
35
2
0
03 Nov 2023
FACTS: First Amplify Correlations and Then Slice to Discover Bias
FACTS: First Amplify Correlations and Then Slice to Discover Bias
Sriram Yenamandra
Baifeng Shi
Trevor Darrell
Judy Hoffman
CML
23
22
0
29 Sep 2023
TorchQL: A Programming Framework for Integrity Constraints in Machine
  Learning
TorchQL: A Programming Framework for Integrity Constraints in Machine Learning
Aaditya Naik
Adam Stein
Yinjun Wu
Mayur Naik
Eric Wong
35
3
0
13 Aug 2023
Where Does My Model Underperform? A Human Evaluation of Slice Discovery
  Algorithms
Where Does My Model Underperform? A Human Evaluation of Slice Discovery Algorithms
Nari Johnson
Ángel Alexander Cabrera
Gregory Plumb
Ameet Talwalkar
31
13
0
13 Jun 2023
Efficient Failure Pattern Identification of Predictive Algorithms
Efficient Failure Pattern Identification of Predictive Algorithms
Bao Nguyen
Viet Anh Nguyen
22
0
0
01 Jun 2023
LANCE: Stress-testing Visual Models by Generating Language-guided
  Counterfactual Images
LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images
Viraj Prabhu
Sriram Yenamandra
Prithvijit Chattopadhyay
Judy Hoffman
22
37
0
30 May 2023
Mitigating Spurious Correlations in Multi-modal Models during
  Fine-tuning
Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning
Yu Yang
Besmira Nushi
Hamid Palangi
Baharan Mirzasoleiman
39
36
0
08 Apr 2023
Mitigating Source Bias for Fairer Weak Supervision
Mitigating Source Bias for Fairer Weak Supervision
Changho Shin
Sonia Cromp
Dyah Adila
Frederic Sala
29
2
0
30 Mar 2023
Diagnosing and Rectifying Vision Models using Language
Diagnosing and Rectifying Vision Models using Language
Yuhui Zhang
Jeff Z. HaoChen
Shih-Cheng Huang
Kuan-Chieh Jackson Wang
James Zou
Serena Yeung
25
45
0
08 Feb 2023
Discovering and Mitigating Visual Biases through Keyword Explanation
Discovering and Mitigating Visual Biases through Keyword Explanation
Younghyun Kim
Sangwoo Mo
Minkyu Kim
Kyungmin Lee
Jaeho Lee
Jinwoo Shin
40
32
0
26 Jan 2023
Look Beyond Bias with Entropic Adversarial Data Augmentation
Look Beyond Bias with Entropic Adversarial Data Augmentation
Thomas Duboudin
Emmanuel Dellandréa
Corentin Abgrall
Gilles Hénaff
Liming Luke Chen
CML
35
4
0
10 Jan 2023
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One
  Amplifies Others
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others
Zhiheng Li
Ivan Evtimov
Albert Gordo
C. Hazirbas
Tal Hassner
Cristian Canton Ferrer
Chenliang Xu
Mark Ibrahim
34
71
0
09 Dec 2022
Spurious Features Everywhere -- Large-Scale Detection of Harmful
  Spurious Features in ImageNet
Spurious Features Everywhere -- Large-Scale Detection of Harmful Spurious Features in ImageNet
Yannic Neuhaus
Maximilian Augustin
Valentyn Boreiko
Matthias Hein
AAML
36
30
0
09 Dec 2022
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases
Mazda Moayeri
Wenxiao Wang
Sahil Singla
S. Feizi
69
14
0
05 Dec 2022
AGRO: Adversarial Discovery of Error-prone groups for Robust
  Optimization
AGRO: Adversarial Discovery of Error-prone groups for Robust Optimization
Bhargavi Paranjape
Pradeep Dasigi
Vivek Srikumar
Luke Zettlemoyer
Hannaneh Hajishirzi
36
7
0
02 Dec 2022
Data-Centric Debugging: mitigating model failures via targeted data
  collection
Data-Centric Debugging: mitigating model failures via targeted data collection
Sahil Singla
Atoosa Malemir Chegini
Mazda Moayeri
Soheil Feiz
21
4
0
17 Nov 2022
Identifying Spurious Correlations and Correcting them with an
  Explanation-based Learning
Identifying Spurious Correlations and Correcting them with an Explanation-based Learning
Misgina Tsighe Hagos
Kathleen M. Curran
Brian Mac Namee
20
10
0
15 Nov 2022
Demystify Self-Attention in Vision Transformers from a Semantic
  Perspective: Analysis and Application
Demystify Self-Attention in Vision Transformers from a Semantic Perspective: Analysis and Application
Leijie Wu
Song Guo
Yaohong Ding
Junxiao Wang
Wenchao Xu
Richard Yi Da Xu
Jiewei Zhang
38
2
0
13 Nov 2022
Discover, Explanation, Improvement: An Automatic Slice Detection
  Framework for Natural Language Processing
Discover, Explanation, Improvement: An Automatic Slice Detection Framework for Natural Language Processing
Wenyue Hua
Lifeng Jin
Linfeng Song
Haitao Mi
Yongfeng Zhang
Dong Yu
26
1
0
08 Nov 2022
Learning Less Generalizable Patterns with an Asymmetrically Trained
  Double Classifier for Better Test-Time Adaptation
Learning Less Generalizable Patterns with an Asymmetrically Trained Double Classifier for Better Test-Time Adaptation
Thomas Duboudin
Emmanuel Dellandréa
Corentin Abgrall
Gilles Hénaff
Limin Chen
TTA
27
1
0
17 Oct 2022
Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet
  Recognition through the Lens of Robustness
Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition through the Lens of Robustness
Ya-Hsin Cheng
Lihao Liu
Shujun Wang
Yueming Jin
Carola-Bibiane Schönlieb
Angelica I. Aviles-Rivero
24
7
0
18 Sep 2022
Explicit Tradeoffs between Adversarial and Natural Distributional
  Robustness
Explicit Tradeoffs between Adversarial and Natural Distributional Robustness
Mazda Moayeri
Kiarash Banihashem
S. Feizi
OOD
72
21
0
15 Sep 2022
Towards a More Rigorous Science of Blindspot Discovery in Image
  Classification Models
Towards a More Rigorous Science of Blindspot Discovery in Image Classification Models
Gregory Plumb
Nari Johnson
Ángel Alexander Cabrera
Ameet Talwalkar
34
5
0
08 Jul 2022
Distilling Model Failures as Directions in Latent Space
Distilling Model Failures as Directions in Latent Space
Saachi Jain
Hannah Lawrence
Ankur Moitra
A. Madry
23
90
0
29 Jun 2022
Sparse Visual Counterfactual Explanations in Image Space
Sparse Visual Counterfactual Explanations in Image Space
Valentyn Boreiko
Maximilian Augustin
Francesco Croce
Philipp Berens
Matthias Hein
BDL
CML
30
26
0
16 May 2022
Missingness Bias in Model Debugging
Missingness Bias in Model Debugging
Saachi Jain
Hadi Salman
E. Wong
Pengchuan Zhang
Vibhav Vineet
Sai H. Vemprala
A. Madry
27
37
0
19 Apr 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious
  Correlations
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations
Polina Kirichenko
Pavel Izmailov
A. Wilson
OOD
37
318
0
06 Apr 2022
Core Risk Minimization using Salient ImageNet
Core Risk Minimization using Salient ImageNet
Sahil Singla
Mazda Moayeri
S. Feizi
30
14
0
28 Mar 2022
Domino: Discovering Systematic Errors with Cross-Modal Embeddings
Domino: Discovering Systematic Errors with Cross-Modal Embeddings
Sabri Eyuboglu
M. Varma
Khaled Kamal Saab
Jean-Benoit Delbrouck
Christopher Lee-Messer
Jared A. Dunnmon
James Zou
Christopher Ré
35
143
0
24 Mar 2022
A Comprehensive Study of Image Classification Model Sensitivity to
  Foregrounds, Backgrounds, and Visual Attributes
A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes
Mazda Moayeri
Phillip E. Pope
Yogesh Balaji
S. Feizi
VLM
33
52
0
26 Jan 2022
Thinking Beyond Distributions in Testing Machine Learned Models
Thinking Beyond Distributions in Testing Machine Learned Models
Negar Rostamzadeh
B. Hutchinson
Christina Greer
Vinodkumar Prabhakaran
TTA
37
6
0
06 Dec 2021
Salient ImageNet: How to discover spurious features in Deep Learning?
Salient ImageNet: How to discover spurious features in Deep Learning?
Sahil Singla
S. Feizi
AAML
VLM
21
115
0
08 Oct 2021
FOCUS: Familiar Objects in Common and Uncommon Settings
FOCUS: Familiar Objects in Common and Uncommon Settings
Priyatham Kattakinda
S. Feizi
18
10
0
07 Oct 2021
A Principled Approach to Failure Analysis and Model Repairment:
  Demonstration in Medical Imaging
A Principled Approach to Failure Analysis and Model Repairment: Demonstration in Medical Imaging
Thomas Henn
Yasukazu Sakamoto
Clément Jacquet
Shunsuke Yoshizawa
M. Andou
...
R. Saga
Hiroyuki Ishihara
Katsuhiko Shimizu
Yingzhen Li
Ryutaro Tanno
113
9
0
25 Sep 2021
Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss for
  Better Single-Source Domain Generalization
Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss for Better Single-Source Domain Generalization
Thomas Duboudin
Emmanuel Dellandréa
Corentin Abgrall
Gilles Hénaff
Liming Luke Chen
24
9
0
15 Jun 2021
Local Patch AutoAugment with Multi-Agent Collaboration
Local Patch AutoAugment with Multi-Agent Collaboration
Shiqi Lin
Tao Yu
Ruoyu Feng
Xin Li
Xin Jin
Zhibo Chen
16
15
0
20 Mar 2021
1