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On Robustness and Transferability of Convolutional Neural Networks
v1v2 (latest)

On Robustness and Transferability of Convolutional Neural Networks

Computer Vision and Pattern Recognition (CVPR), 2020
16 July 2020
Josip Djolonga
Jessica Yung
Michael Tschannen
Rob Romijnders
Lucas Beyer
Alexander Kolesnikov
J. Puigcerver
Matthias Minderer
Alexander DÁmour
D. Moldovan
Sylvain Gelly
N. Houlsby
Xiaohua Zhai
Mario Lucic
    OOD
ArXiv (abs)PDFHTMLHuggingFace (1 upvotes)

Papers citing "On Robustness and Transferability of Convolutional Neural Networks"

50 / 97 papers shown
Confidence and Dispersity as Signals: Unsupervised Model Evaluation and Ranking
Confidence and Dispersity as Signals: Unsupervised Model Evaluation and Ranking
Weijian Deng
Weijie Tu
Ibrahim Radwan
Mohammad Abu Alsheikh
Stephen Gould
Liang Zheng
198
0
0
03 Oct 2025
Multi-Plasticity Synergy with Adaptive Mechanism Assignment for Training Spiking Neural Networks
Multi-Plasticity Synergy with Adaptive Mechanism Assignment for Training Spiking Neural Networks
Yuzhe Liu
Xin Deng
Qiang Yu
AAMLAI4CE
102
1
0
19 Aug 2025
Canonical Latent Representations in Conditional Diffusion Models
Canonical Latent Representations in Conditional Diffusion Models
Yitao Xu
Tong Zhang
Ehsan Pajouheshgar
Sabine Süsstrunk
DiffM
309
0
0
11 Jun 2025
HiQ-Lip: A Hierarchical Quantum-Classical Method for Global Lipschitz Constant Estimation of ReLU Networks
HiQ-Lip: A Hierarchical Quantum-Classical Method for Global Lipschitz Constant Estimation of ReLU Networks
Haoqi He
Yan Xiao
Wenzhi Xu
Ruoying Liu
Xiaokai Lin
Kai Wen
252
0
0
20 Mar 2025
A Causal Framework for Aligning Image Quality Metrics and Deep Neural Network Robustness
A Causal Framework for Aligning Image Quality Metrics and Deep Neural Network Robustness
Nathan G. Drenkow
Mathias Unberath
OOD
431
0
0
04 Mar 2025
ABC: Achieving Better Control of Multimodal Embeddings using VLMs
ABC: Achieving Better Control of Multimodal Embeddings using VLMs
Benjamin Schneider
Florian Kerschbaum
Wenhu Chen
1.1K
0
0
01 Mar 2025
Evaluating Loss Landscapes from a Topology Perspective
Evaluating Loss Landscapes from a Topology Perspective
Tiankai Xie
Caleb Geniesse
Jiaqing Chen
Yaoqing Yang
Dmitriy Morozov
Michael W. Mahoney
Ross Maciejewski
Gunther H. Weber
311
3
0
14 Nov 2024
Toward a Holistic Evaluation of Robustness in CLIP Models
Toward a Holistic Evaluation of Robustness in CLIP ModelsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Weijie Tu
Weijian Deng
Tom Gedeon
VLM
414
14
0
02 Oct 2024
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers
Asifullah Khan
A. Sohail
Mustansar Fiaz
Mehdi Hassan
Tariq Habib Afridi
...
Muhammad Zaigham Zaheer
Kamran Ali
Tangina Sultana
Ziaurrehman Tanoli
Naeem Akhter
1.0K
14
0
30 Aug 2024
Understanding the Role of Invariance in Transfer Learning
Understanding the Role of Invariance in Transfer Learning
Till Speicher
Vedant Nanda
Krishna P. Gummadi
SSLOOD
378
1
0
05 Jul 2024
Mixing Natural and Synthetic Images for Robust Self-Supervised
  Representations
Mixing Natural and Synthetic Images for Robust Self-Supervised Representations
Reza Akbarian Bafghi
Nidhin Harilal
C. Monteleoni
M. Raissi
DiffM
354
1
0
18 Jun 2024
What Does Softmax Probability Tell Us about Classifiers Ranking Across
  Diverse Test Conditions?
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions?
Weijie Tu
Weijian Deng
Liang Zheng
Tom Gedeon
364
8
0
14 Jun 2024
AdaNCA: Neural Cellular Automata As Adaptors For More Robust Vision
  Transformer
AdaNCA: Neural Cellular Automata As Adaptors For More Robust Vision Transformer
Yitao Xu
Tong Zhang
Sabine Süsstrunk
ViT
471
2
0
12 Jun 2024
What Variables Affect Out-Of-Distribution Generalization in Pretrained
  Models?
What Variables Affect Out-Of-Distribution Generalization in Pretrained Models?
Md Yousuf Harun
Kyungbok Lee
Jhair Gallardo
Giri Krishnan
Christopher Kanan
528
13
0
23 May 2024
Aggregate Representation Measure for Predictive Model Reusability
Aggregate Representation Measure for Predictive Model Reusability
Vishwesh Sangarya
Richard M. Bradford
Jung-Eun Kim
361
2
0
15 May 2024
Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers
Tilt your Head: Activating the Hidden Spatial-Invariance of ClassifiersInternational Conference on Machine Learning (ICML), 2024
Johann Schmidt
Sebastian Stober
348
6
0
06 May 2024
Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data
  Quality over Quantity
Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over QuantityInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Siddharth Joshi
Arnav Jain
Ali Payani
Baharan Mirzasoleiman
VLMCLIP
312
18
0
18 Mar 2024
Effective pruning of web-scale datasets based on complexity of concept
  clusters
Effective pruning of web-scale datasets based on complexity of concept clustersInternational Conference on Learning Representations (ICLR), 2024
Amro Abbas
E. Rusak
Kushal Tirumala
Wieland Brendel
Kamalika Chaudhuri
Ari S. Morcos
VLMCLIP
358
29
0
09 Jan 2024
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet AccuracyInternational Conference on Machine Learning (ICML), 2023
Kirill Vishniakov
Zhiqiang Shen
Zhuang Liu
CLIP
491
26
0
15 Nov 2023
Learning with Unmasked Tokens Drives Stronger Vision Learners
Learning with Unmasked Tokens Drives Stronger Vision Learners
Taekyung Kim
Sanghyuk Chun
Byeongho Heo
Dongyoon Han
SSL
337
4
0
20 Oct 2023
Understanding and Mitigating the Label Noise in Pre-training on
  Downstream Tasks
Understanding and Mitigating the Label Noise in Pre-training on Downstream TasksInternational Conference on Learning Representations (ICLR), 2023
Hao Chen
Yongfeng Zhang
Ankit Shah
Ran Tao
Jianguo Huang
Berfin cSimcsek
Masashi Sugiyama
Bhiksha Raj
364
47
0
29 Sep 2023
RobustCLEVR: A Benchmark and Framework for Evaluating Robustness in
  Object-centric Learning
RobustCLEVR: A Benchmark and Framework for Evaluating Robustness in Object-centric LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Nathan G. Drenkow
Mathias Unberath
345
6
0
28 Aug 2023
Stable and Causal Inference for Discriminative Self-supervised Deep
  Visual Representations
Stable and Causal Inference for Discriminative Self-supervised Deep Visual RepresentationsIEEE International Conference on Computer Vision (ICCV), 2023
Yuewei Yang
Hai Helen Li
Yiran Chen
CMLOOD
302
3
0
16 Aug 2023
Foundational Models Defining a New Era in Vision: A Survey and Outlook
Foundational Models Defining a New Era in Vision: A Survey and Outlook
Muhammad Awais
Muzammal Naseer
Salman Khan
Rao Muhammad Anwer
Hisham Cholakkal
M. Shah
Ming-Hsuan Yang
Fahad Shahbaz Khan
VLM
497
160
0
25 Jul 2023
DINOv2: Learning Robust Visual Features without Supervision
DINOv2: Learning Robust Visual Features without Supervision
Maxime Oquab
Timothée Darcet
Théo Moutakanni
Huy Q. Vo
Marc Szafraniec
...
Edouard Grave
Julien Mairal
Patrick Labatut
Armand Joulin
Piotr Bojanowski
VLMCLIPSSL
1.3K
7,551
0
14 Apr 2023
Progressive Random Convolutions for Single Domain Generalization
Progressive Random Convolutions for Single Domain GeneralizationComputer Vision and Pattern Recognition (CVPR), 2023
Seokeon Choi
Debasmit Das
Sungha Choi
Seunghan Yang
Hyunsin Park
Sungrack Yun
320
60
0
02 Apr 2023
Neglected Free Lunch -- Learning Image Classifiers Using Annotation
  Byproducts
Neglected Free Lunch -- Learning Image Classifiers Using Annotation ByproductsIEEE International Conference on Computer Vision (ICCV), 2023
Dongyoon Han
Junsuk Choe
Dante Chun
John Joon Young Chung
Minsuk Chang
Sangdoo Yun
Jean Y. Song
Seong Joon Oh
OOD
1.4K
4
1
30 Mar 2023
TWINS: A Fine-Tuning Framework for Improved Transferability of
  Adversarial Robustness and Generalization
TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and GeneralizationComputer Vision and Pattern Recognition (CVPR), 2023
Ziquan Liu
Yi Tian Xu
Xiangyang Ji
Antoni B. Chan
AAML
245
26
0
20 Mar 2023
Schema Inference for Interpretable Image Classification
Schema Inference for Interpretable Image ClassificationInternational Conference on Learning Representations (ICLR), 2023
Haofei Zhang
Mengqi Xue
Xiaokang Liu
Kaixuan Chen
Mingli Song
Weilong Dai
OCL
285
5
0
12 Mar 2023
Large Deviations for Accelerating Neural Networks Training
Large Deviations for Accelerating Neural Networks Training
Sreelekha Guggilam
V. Chandola
A. Patra
160
0
0
02 Mar 2023
The Role of Pre-training Data in Transfer Learning
The Role of Pre-training Data in Transfer Learning
R. Entezari
Mitchell Wortsman
O. Saukh
M. Shariatnia
Hanie Sedghi
Ludwig Schmidt
236
28
0
27 Feb 2023
Scaling Vision Transformers to 22 Billion Parameters
Scaling Vision Transformers to 22 Billion ParametersInternational Conference on Machine Learning (ICML), 2023
Mostafa Dehghani
Josip Djolonga
Basil Mustafa
Piotr Padlewski
Jonathan Heek
...
Mario Luvcić
Xiaohua Zhai
Daniel Keysers
Jeremiah Harmsen
N. Houlsby
MLLM
473
831
0
10 Feb 2023
RLSbench: Domain Adaptation Under Relaxed Label Shift
RLSbench: Domain Adaptation Under Relaxed Label ShiftInternational Conference on Machine Learning (ICML), 2023
Saurabh Garg
Nick Erickson
James Sharpnack
Alexander J. Smola
Sivaraman Balakrishnan
Zachary Chase Lipton
VLM
473
44
0
06 Feb 2023
Pathologies of Predictive Diversity in Deep Ensembles
Pathologies of Predictive Diversity in Deep Ensembles
Taiga Abe
E. Kelly Buchanan
Geoff Pleiss
John P. Cunningham
UQCV
438
21
0
01 Feb 2023
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases
Spuriosity Rankings: Sorting Data to Measure and Mitigate BiasesNeural Information Processing Systems (NeurIPS), 2022
Mazda Moayeri
Wenxiao Wang
Sahil Singla
Soheil Feizi
529
19
0
05 Dec 2022
Transferability Estimation Based On Principal Gradient Expectation
Transferability Estimation Based On Principal Gradient Expectation
Huiyan Qi
Lechao Cheng
Yue Yu
Yue Yu
Haijun Shan
Zunlei Feng
Yueping Jiang
301
4
0
29 Nov 2022
Mitigating and Evaluating Static Bias of Action Representations in the
  Background and the Foreground
Mitigating and Evaluating Static Bias of Action Representations in the Background and the ForegroundIEEE International Conference on Computer Vision (ICCV), 2022
Haoxin Li
Yuan Liu
Hanwang Zhang
Boyang Li
335
30
0
23 Nov 2022
On the Effect of Pre-training for Transformer in Different Modality on
  Offline Reinforcement Learning
On the Effect of Pre-training for Transformer in Different Modality on Offline Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022
S. Takagi
OffRL
252
8
0
17 Nov 2022
Lexical Generalization Improves with Larger Models and Longer Training
Lexical Generalization Improves with Larger Models and Longer TrainingConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Elron Bandel
Yoav Goldberg
Yanai Elazar
247
9
0
23 Oct 2022
Visual Classification via Description from Large Language Models
Visual Classification via Description from Large Language ModelsInternational Conference on Learning Representations (ICLR), 2022
Sachit Menon
Carl Vondrick
VLM
525
388
0
13 Oct 2022
A Multiagent Framework for the Asynchronous and Collaborative Extension
  of Multitask ML Systems
A Multiagent Framework for the Asynchronous and Collaborative Extension of Multitask ML Systems
Andrea Gesmundo
386
2
0
29 Sep 2022
Explicit Tradeoffs between Adversarial and Natural Distributional
  Robustness
Explicit Tradeoffs between Adversarial and Natural Distributional RobustnessNeural Information Processing Systems (NeurIPS), 2022
Mazda Moayeri
Kiarash Banihashem
Soheil Feizi
OOD
407
26
0
15 Sep 2022
A Continual Development Methodology for Large-scale Multitask Dynamic ML
  Systems
A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems
Andrea Gesmundo
284
23
0
15 Sep 2022
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world
  Datasets
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world DatasetsNeural Information Processing Systems (NeurIPS), 2022
Damien Teney
Yong Lin
Seong Joon Oh
Ehsan Abbasnejad
OOD
1.7K
65
0
01 Sep 2022
Quality Not Quantity: On the Interaction between Dataset Design and
  Robustness of CLIP
Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIPNeural Information Processing Systems (NeurIPS), 2022
Thao Nguyen
Gabriel Ilharco
Mitchell Wortsman
Sewoong Oh
Ludwig Schmidt
CLIPVLM
669
124
0
10 Aug 2022
Assaying Out-Of-Distribution Generalization in Transfer Learning
Assaying Out-Of-Distribution Generalization in Transfer LearningNeural Information Processing Systems (NeurIPS), 2022
F. Wenzel
Andrea Dittadi
Peter V. Gehler
Carl-Johann Simon-Gabriel
Max Horn
...
Chris Russell
Thomas Brox
Bernt Schiele
Bernhard Schölkopf
Francesco Locatello
OODOODDAAML
440
88
0
19 Jul 2022
Models Out of Line: A Fourier Lens on Distribution Shift Robustness
Models Out of Line: A Fourier Lens on Distribution Shift RobustnessNeural Information Processing Systems (NeurIPS), 2022
Sara Fridovich-Keil
Brian Bartoldson
James Diffenderfer
B. Kailkhura
P. Bremer
OOD
258
2
0
08 Jul 2022
Generalization to translation shifts: a study in architectures and
  augmentations
Generalization to translation shifts: a study in architectures and augmentations
Suriya Gunasekar
255
2
0
05 Jul 2022
On the Importance and Applicability of Pre-Training for Federated
  Learning
On the Importance and Applicability of Pre-Training for Federated LearningInternational Conference on Learning Representations (ICLR), 2022
Hong-You Chen
Cheng-Hao Tu
Zi-hua Li
Hang Shen
Wei-Lun Chao
FedML
401
108
0
23 Jun 2022
Learning Continuous Rotation Canonicalization with Radial Beam Sampling
Learning Continuous Rotation Canonicalization with Radial Beam Sampling
J. Schmidt
Sebastian Stober
283
4
0
21 Jun 2022
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