Robustness Emerges Early in Training Dynamics, but Is Not Preserved | Paper Citation Record

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This paper cites In: International conference on learning representations (2018).

Robustness Emerges Early in Training Dynamics, but Is Not Preserved In: International conference on learning representations (2018)

Reference 1

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This paper cites Understanding intermediate layers using linear classifier probes.

Robustness Emerges Early in Training Dynamics, but Is Not Preserved Understanding intermediate layers using linear classifier probes

Reference 2

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This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision workshops.

Robustness Emerges Early in Training Dynamics, but Is Not Preserved In: Proceedings of the IEEE/CVF international conference on computer vision workshops

Reference 4

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This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Robustness Emerges Early in Training Dynamics, but Is Not Preserved In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

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This paper cites MMDetection: Open MMLab Detection Toolbox and Benchmark.

Robustness Emerges Early in Training Dynamics, but Is Not Preserved MMDetection: Open MMLab Detection Toolbox and Benchmark

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This paper cites In: Proceedings of the European conference on computer vision (ECCV).

Robustness Emerges Early in Training Dynamics, but Is Not Preserved In: Proceedings of the European conference on computer vision (ECCV)

Reference 7

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This paper cites In: Findings of the Association for Computational Linguistics: ACL 2024.

Robustness Emerges Early in Training Dynamics, but Is Not Preserved In: Findings of the Association for Computational Linguistics: ACL 2024

Reference 8

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This paper cites Yang et al.

Robustness Emerges Early in Training Dynamics, but Is Not Preserved Yang et al

Reference 9

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This paper cites AutoAugment: Learning Augmentation Policies from Data.

Robustness Emerges Early in Training Dynamics, but Is Not Preserved AutoAugment: Learning Augmentation Policies from Data

Reference 10

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This paper cites Advances in Neural Information Processing Systems33, 13073–13087 (2020).

Robustness Emerges Early in Training Dynamics, but Is Not Preserved Advances in Neural Information Processing Systems33, 13073–13087 (2020)

Reference 11

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This paper cites In: 2009 IEEE conference on computer vision and pattern recognition.

Robustness Emerges Early in Training Dynamics, but Is Not Preserved In: 2009 IEEE conference on computer vision and pattern recognition

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This paper cites Ad- vances in neural information processing systems34, 664–676 (2021).

Robustness Emerges Early in Training Dynamics, but Is Not Preserved Ad- vances in neural information processing systems34, 664–676 (2021)

Reference 13

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This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Robustness Emerges Early in Training Dynamics, but Is Not Preserved In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

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This paper cites Sharpness-Aware Minimization for Efficiently Improving Generalization.

Robustness Emerges Early in Training Dynamics, but Is Not Preserved Sharpness-Aware Minimization for Efficiently Improving Generalization

Reference 15

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This paper cites In: International Conference on Learning Representations.

Robustness Emerges Early in Training Dynamics, but Is Not Preserved In: International Conference on Learning Representations

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This paper cites In: International Conference on Learning Representations.

Robustness Emerges Early in Training Dynamics, but Is Not Preserved In: International Conference on Learning Representations

Reference 17

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Robustness Emerges Early in Training Dynamics, but Is Not Preserved Unresolved cited work

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This paper cites In: International conference on learning representations (2018).

Robustness Emerges Early in Training Dynamics, but Is Not Preserved In: International conference on learning representations (2018)

Reference 19

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This paper cites In: European Conference on Computer Vision.

Robustness Emerges Early in Training Dynamics, but Is Not Preserved In: European Conference on Computer Vision

Reference 20

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Robustness Emerges Early in Training Dynamics, but Is Not Preserved Unresolved cited work

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This paper cites Benchmarking Neural Network Robustness to Common Corruptions and Perturbations.

Robustness Emerges Early in Training Dynamics, but Is Not Preserved Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

Reference 22

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This paper cites In: International Conference on Learning Representations.

Robustness Emerges Early in Training Dynamics, but Is Not Preserved In: International Conference on Learning Representations

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This paper cites Advances in neural information processing systems 33, 19000–19015 (2020).

Robustness Emerges Early in Training Dynamics, but Is Not Preserved Advances in neural information processing systems 33, 19000–19015 (2020)

Reference 24

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Robustness Emerges Early in Training Dynamics, but Is Not Preserved Unresolved cited work

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This paper cites In: 34th Conference on Uncertainty in Artificial Intelligence 2018, UAI 2018.

Robustness Emerges Early in Training Dynamics, but Is Not Preserved In: 34th Conference on Uncertainty in Artificial Intelligence 2018, UAI 2018

Reference 26

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This paper cites 0-yolov5 sota realtime instance segmentation.

Robustness Emerges Early in Training Dynamics, but Is Not Preserved 0-yolov5 sota realtime instance segmentation

Reference 27

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This paper cites International journal of computer vision129(2), 462–483 (2021).

Robustness Emerges Early in Training Dynamics, but Is Not Preserved International journal of computer vision129(2), 462–483 (2021)

Reference 28

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This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Robustness Emerges Early in Training Dynamics, but Is Not Preserved In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 29

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This paper cites In: International conference on machine learning.

Robustness Emerges Early in Training Dynamics, but Is Not Preserved In: International conference on machine learning

Reference 30

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This paper cites In: International Conference on Learning Representations (2018).

Robustness Emerges Early in Training Dynamics, but Is Not Preserved In: International Conference on Learning Representations (2018)

Reference 31

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This paper cites Advances in neural information processing systems31(2018).

Robustness Emerges Early in Training Dynamics, but Is Not Preserved Advances in neural information processing systems31(2018)

Reference 32

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Robustness Emerges Early in Training Dynamics, but Is Not Preserved Advances in Neural Information Processing Systems35, 12934–12949 (2022)

Reference 33

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This paper cites International Journal of Computer Vision133(2), 567–589 (2025).

Robustness Emerges Early in Training Dynamics, but Is Not Preserved International Journal of Computer Vision133(2), 567–589 (2025)

Reference 34

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Robustness Emerges Early in Training Dynamics, but Is Not Preserved Journal of machine learning research9(11) (2008)

Reference 35

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This paper cites In: International Conference on Learning Representations (2018).

Robustness Emerges Early in Training Dynamics, but Is Not Preserved In: International Conference on Learning Representations (2018)

Reference 36

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This paper cites Advances in Neural Information Processing Systems35, 7520–7533 (2022).

Robustness Emerges Early in Training Dynamics, but Is Not Preserved Advances in Neural Information Processing Systems35, 7520–7533 (2022)

Reference 37

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Robustness Emerges Early in Training Dynamics, but Is Not Preserved Unresolved cited work

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This paper cites MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer.

Robustness Emerges Early in Training Dynamics, but Is Not Preserved MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer

Reference 39

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This paper cites Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming.

Robustness Emerges Early in Training Dynamics, but Is Not Preserved Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Reference 40

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This paper cites Advances in Neural Information Processing Systems34, 3571–3583 (2021).

Robustness Emerges Early in Training Dynamics, but Is Not Preserved Advances in Neural Information Processing Systems34, 3571–3583 (2021)

Reference 41

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Robustness Emerges Early in Training Dynamics, but Is Not Preserved Unresolved cited work

Reference 42

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Robustness Emerges Early in Training Dynamics, but Is Not Preserved Unresolved cited work

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This paper cites Towards Stable Test-Time Adaptation in Dynamic Wild World.

Robustness Emerges Early in Training Dynamics, but Is Not Preserved Towards Stable Test-Time Adaptation in Dynamic Wild World

Reference 44

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Robustness Emerges Early in Training Dynamics, but Is Not Preserved Representation Learning with Contrastive Predictive Coding

Reference 45

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Robustness Emerges Early in Training Dynamics, but Is Not Preserved In: European Conference on Computer Vision

Reference 46

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Robustness Emerges Early in Training Dynamics, but Is Not Preserved Advances in Neural Information Processing Systems35, 16276–16289 (2022)

Reference 47

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Robustness Emerges Early in Training Dynamics, but Is Not Preserved In: International conference on machine learning

Reference 48

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Robustness Emerges Early in Training Dynamics, but Is Not Preserved Unresolved cited work

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This paper cites IEEE transactions on pattern analysis and machine intelligence39(6), 1137–1149 (2016).

Robustness Emerges Early in Training Dynamics, but Is Not Preserved IEEE transactions on pattern analysis and machine intelligence39(6), 1137–1149 (2016)

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Robustness Emerges Early in Training Dynamics, but Is Not Preserved In: International conference on machine learning

Reference 51

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Robustness Emerges Early in Training Dynamics, but Is Not Preserved In: 2007 15th European signal processing conference

Reference 52

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This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

Robustness Emerges Early in Training Dynamics, but Is Not Preserved In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 53

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This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

Robustness Emerges Early in Training Dynamics, but Is Not Preserved In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 54

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This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Robustness Emerges Early in Training Dynamics, but Is Not Preserved In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 55

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Robustness Emerges Early in Training Dynamics, but Is Not Preserved Unresolved cited work

Reference 56

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This paper cites The journal of machine learning research15(1), 1929–1958 (2014).

Robustness Emerges Early in Training Dynamics, but Is Not Preserved The journal of machine learning research15(1), 1929–1958 (2014)

Reference 57

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This paper cites Advances in Neural Information Processing Systems37, 35492–35516 (2024).

Robustness Emerges Early in Training Dynamics, but Is Not Preserved Advances in Neural Information Processing Systems37, 35492–35516 (2024)

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:27.281401Z

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This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Robustness Emerges Early in Training Dynamics, but Is Not Preserved In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:27.269429Z

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This paper cites PyTorch (2021).

Robustness Emerges Early in Training Dynamics, but Is Not Preserved PyTorch (2021)

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:27.258384Z

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Observation 9345d558-1655-4bec-9f39-e267a4f7059d · outbound

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Robustness Emerges Early in Training Dynamics, but Is Not Preserved Unresolved cited work

Reference 61

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This paper cites In: NeurIPS 2021 Workshop on ImageNet: Past, Present, and Future Robustness Emerges Early in Training Dynamics, but Is Not Preserved 19.

Robustness Emerges Early in Training Dynamics, but Is Not Preserved In: NeurIPS 2021 Workshop on ImageNet: Past, Present, and Future Robustness Emerges Early in Training Dynamics, but Is Not Preserved 19

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:27.243183Z

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This paper cites In: The Thirteenth Interna- tional Conference on Learning Representations (2025).

Robustness Emerges Early in Training Dynamics, but Is Not Preserved In: The Thirteenth Interna- tional Conference on Learning Representations (2025)

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:27.231835Z

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This paper cites Advances in Neural Information Processing Systems32(2019).

Robustness Emerges Early in Training Dynamics, but Is Not Preserved Advances in Neural Information Processing Systems32(2019)

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:27.220766Z

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Observation 146b2fc6-c7bb-4584-a576-38b94fe6e140 · outbound

This paper cites In: International Conference on Machine Learning.

Robustness Emerges Early in Training Dynamics, but Is Not Preserved In: International Conference on Machine Learning

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:27.200203Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8ef3d30c-3adc-4a39-93d5-0e2bdbc548e2 · outbound

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Robustness Emerges Early in Training Dynamics, but Is Not Preserved Unresolved cited work

Reference 66

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Observation a0b14495-01c2-4280-9562-625f8181d642 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recog- nition.

Robustness Emerges Early in Training Dynamics, but Is Not Preserved In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recog- nition

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:27.123709Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d9ea9b7b-f551-4f6a-942e-9ae6cc109442 · outbound

This paper cites IEEE transactions on neural networks and learning systems30(9), 2805–2824 (2019).

Robustness Emerges Early in Training Dynamics, but Is Not Preserved IEEE transactions on neural networks and learning systems30(9), 2805–2824 (2019)

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:44:27.076347Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8c0ddc56-ec8e-4437-bb67-3b36b1720be0 · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

Robustness Emerges Early in Training Dynamics, but Is Not Preserved In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 69

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This paper cites Wide Residual Networks.

Robustness Emerges Early in Training Dynamics, but Is Not Preserved Wide Residual Networks

Reference 70

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This paper cites In: International Conference on Learning Representations (2018).

Robustness Emerges Early in Training Dynamics, but Is Not Preserved In: International Conference on Learning Representations (2018)

Reference 71

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This paper cites In: European conference on computer vision.

Robustness Emerges Early in Training Dynamics, but Is Not Preserved In: European conference on computer vision

Reference 72

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Pith citing papers