Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:21:35.076846Z
Paper Citation Record · LEDGER
An Adaptive Method Stabilizing Activations for Enhanced Generalization
As of 8 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2506.08353.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
51 of 51 outbound references displayed
- verified exact0
- verified fuzzy38
- unresolved13
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 1ceb5fee-227b-466c-a60a-d3c30c5bf81e · outbound
This paper cites an unresolved cited work.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T05:21:35.531623Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 680440d7-f0d0-46c0-af0b-c6f9b7edb5e4 · outbound
This paper cites an unresolved cited work.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T05:21:35.523501Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 181f8304-c83d-4b8d-b5e0-ca494bc0ad64 · outbound
This paper cites Gradient descent on neurons and its link to approximate second-order optimization.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Gradient descent on neurons and its link to approximate second-order optimization
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:21:35.516083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 51b5dcde-f3e7-446b-aa93-3eea0e4dbe6e · outbound
This paper cites Closing the generalization gap of adaptive gradient methods in training deep neural networks.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Closing the generalization gap of adaptive gradient methods in training deep neural networks
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:21:35.508414Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation de3a8370-c9e1-4d7c-a44b-e6c1334ad383 · outbound
This paper cites Closing the generalization gap of adaptive gradient methods in training deep neural networks.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Closing the generalization gap of adaptive gradient methods in training deep neural networks
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:21:35.500146Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e47c6f31-71c4-4903-8138-38d6b587981c · outbound
This paper cites When vision transformers outperform resnets without pretraining or strong data augmentations.International Conference on Learning Representations, 2022.
An Adaptive Method Stabilizing Activations for Enhanced Generalization When vision transformers outperform resnets without pretraining or strong data augmentations.International Conference on Learning Representations, 2022
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:21:35.491823Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ed394466-0ff8-406a-aea4-d40ab91cd232 · outbound
This paper cites On the convergence of a class of adam-type algorithms for non-convex optimization.
An Adaptive Method Stabilizing Activations for Enhanced Generalization On the convergence of a class of adam-type algorithms for non-convex optimization
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:21:35.482990Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 458fa151-1d4d-480d-b3f3-7402e65c3f8e · outbound
This paper cites an unresolved cited work.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T05:21:35.474066Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 84d86f04-ee90-4ef9-9a33-434104670e6f · outbound
This paper cites Imagenet: A large-scale hierarchical image database.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Imagenet: A large-scale hierarchical image database
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:21:35.464128Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3bdfdb68-a803-4644-ba61-7df468775ff1 · outbound
This paper cites Regularizing activation distribution for training binarized deep networks.IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Regularizing activation distribution for training binarized deep networks.IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:21:35.453224Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation caaf84d7-6395-4694-b7d7-f84ee4546468 · outbound
This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.
An Adaptive Method Stabilizing Activations for Enhanced Generalization An image is worth 16x16 words: Transformers for image recognition at scale
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:21:34.924366Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cc461dfb-7583-4190-86da-17038e24a624 · outbound
This paper cites Incorporating nesterov momentum into adam.ICLR Workshop, 2016.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Incorporating nesterov momentum into adam.ICLR Workshop, 2016
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:21:35.436104Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3738cf43-effc-4b65-a23a-68836f9d2445 · outbound
This paper cites Adaptive subgradient methods for online learning and stochastic optimization.Journal of Machine Learning Research, 2011.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Adaptive subgradient methods for online learning and stochastic optimization.Journal of Machine Learning Research, 2011
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:21:35.426106Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation af86ee94-5bd0-4d54-b0c2-ea479f865af3 · outbound
This paper cites Sharpness-aware minimization for efficiently improving generalization.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Sharpness-aware minimization for efficiently improving generalization
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:21:35.417397Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3c9d49ba-b9d9-42e1-a0e7-8f77dfd65b2d · outbound
This paper cites Neuron with steady response leads to better generalization.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Neuron with steady response leads to better generalization
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:21:35.406517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f756dc37-5e0d-44d2-8ff0-49c20357dca1 · outbound
This paper cites Girshick, Pieter Noordhuis, Lukasz Wesolowski, Aapo Kyrola, Andrew Tulloch, Yangqing Jia, and Kaiming He.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Girshick, Pieter Noordhuis, Lukasz Wesolowski, Aapo Kyrola, Andrew Tulloch, Yangqing Jia, and Kaiming He
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:21:35.396724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ff5576e8-18d5-4f93-bce1-9557f0435078 · outbound
This paper cites Train faster, generalize better: Stability of stochastic gradient descent.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Train faster, generalize better: Stability of stochastic gradient descent
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:21:34.976520Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 89153d5b-64fb-4bd8-8b41-c4ec3c7f17f3 · outbound
This paper cites Deep residual learning for image recognition.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Deep residual learning for image recognition
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:21:34.979159Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 61dad80a-c2f6-47e1-95ba-5c7977e5c5e9 · outbound
This paper cites Weinberger.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Weinberger
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:21:35.374285Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 62ba98cf-8547-4359-8d1b-e184a5d9b6b1 · outbound
This paper cites Weinberger.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Weinberger
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:21:35.363969Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation fc68040f-d8bf-4a27-a226-11d571d381be · outbound
This paper cites Adaptive learning rate via covariance matrix based preconditioning for deep neural networks.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Adaptive learning rate via covariance matrix based preconditioning for deep neural networks
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:21:35.354917Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1f17ae09-ecae-4534-bc58-64309a8fc0ce · outbound
This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Batch normalization: Accelerating deep network training by reducing internal covariate shift
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:21:35.344229Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 54c883bf-f1b4-4f29-ba21-6907e91b1911 · outbound
This paper cites Regularizing activations in neural networks via distribution matching with the wasserstein metric.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Regularizing activations in neural networks via distribution matching with the wasserstein metric
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:21:35.334124Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f922e284-08ad-4979-b157-2731cd96f2fd · outbound
This paper cites Improving generalization performance by switching from adam to sgd.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Improving generalization performance by switching from adam to sgd
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:21:35.324217Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 0a55e018-2fed-4031-a526-4cb92403964b · outbound
This paper cites Kingma and Jimmy Ba.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Kingma and Jimmy Ba
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:21:34.999662Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4bbef444-2a6b-4b47-b925-c3aca961d71a · outbound
This paper cites Learning multiple layers of features from tiny images.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Learning multiple layers of features from tiny images
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:21:35.002455Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ea26862b-5e33-4641-816b-fcd71b831c9d · outbound
This paper cites Regularizing rnns by stabilizing activations.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Regularizing rnns by stabilizing activations
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:21:35.301665Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1da42d82-25ec-45af-9856-b30c3a480ce5 · outbound
This paper cites Lecun, L.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Lecun, L
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:21:35.291708Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ae85d851-51e3-4990-b710-f07577f960b9 · outbound
This paper cites Regularizing by the variance of the activations’ sample-variances.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Regularizing by the variance of the activations’ sample-variances
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:21:35.283691Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 184c68d8-f0ae-41a1-aa6c-cb0eb053d783 · outbound
This paper cites On the variance of the adaptive learning rate and beyond.
An Adaptive Method Stabilizing Activations for Enhanced Generalization On the variance of the adaptive learning rate and beyond
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:21:35.275793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation de520fd9-005b-48f8-9af3-199965f24cd4 · outbound
This paper cites Adam+: A stochastic method with adaptive variance reduction, 2021.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Adam+: A stochastic method with adaptive variance reduction, 2021
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:21:35.267110Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 28fb73ee-1fec-4c04-957d-e8f1eceabc4b · outbound
This paper cites Decoupled weight decay regularization.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Decoupled weight decay regularization
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:21:35.019848Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a9dc23d9-40bb-44fe-91ae-6a825202522c · outbound
This paper cites Adaptive gradient methods with dynamic bound of learning rate.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Adaptive gradient methods with dynamic bound of learning rate
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:21:35.253272Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a6340e18-54ff-432b-8f81-83d95f647fd7 · outbound
This paper cites Optimizing neural networks with kronecker-factored approximate curvature.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Optimizing neural networks with kronecker-factored approximate curvature
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:21:35.245392Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation bf6012c6-4aa4-4c52-acc0-99ac3979c13c · outbound
This paper cites Revisiting activation regularization for language rnns.ArXiv, 2017.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Revisiting activation regularization for language rnns.ArXiv, 2017
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:21:35.236958Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e195ad21-c5b7-4174-86ec-1c414204ee98 · outbound
This paper cites Reddi, Satyen Kale, and Sanjiv Kumar.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Reddi, Satyen Kale, and Sanjiv Kumar
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:21:35.229093Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 93d7a137-ad4e-49aa-8159-e2b818a04f03 · outbound
This paper cites Dropout: A simple way to prevent neural networks from overfitting.Journal of Machine Learning Research, 2014.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Dropout: A simple way to prevent neural networks from overfitting.Journal of Machine Learning Research, 2014
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:21:35.220855Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e9777eb4-2934-460a-bea3-f33243134627 · outbound
This paper cites Dahl, and Geoffrey E.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Dahl, and Geoffrey E
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:21:35.212342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation cd410cf2-7454-4f5a-9438-865af44761fb · outbound
This paper cites Tieleman and G.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Tieleman and G
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:21:35.204047Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 70ca2455-15bd-4c26-b67c-ac7160adfd3c · outbound
This paper cites Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:21:35.043591Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4139132b-a23a-4cda-b6c1-cc05c87d6d43 · outbound
This paper cites Pytorch image models.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Pytorch image models
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:21:35.191014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 8f2ed74b-4720-49d6-a24d-9b35642a2ed0 · outbound
This paper cites Resnet strikes back: An improved training procedure in timm.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Resnet strikes back: An improved training procedure in timm
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:21:35.182417Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 4c7b4b8e-a1f8-4344-9e99-a7c7e2ab50c5 · outbound
This paper cites Wilson, Rebecca Roelofs, Mitchell Stern, Nathan Srebro, and Benjamin Recht.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Wilson, Rebecca Roelofs, Mitchell Stern, Nathan Srebro, and Benjamin Recht
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:21:35.172488Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 303247e7-4969-41a9-bb9d-fbf25ec2b36a · outbound
This paper cites Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms, 2017.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms, 2017
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:21:35.055835Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 26bae624-482b-4448-b240-7db5e37eb9c4 · outbound
This paper cites Adan: Adaptive nesterov momentum algorithm for faster optimizing deep models.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Adan: Adaptive nesterov momentum algorithm for faster optimizing deep models
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:21:35.156179Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d08d61e8-4355-4cc6-9902-f283ec98db2e · outbound
This paper cites Adaptive inertia: Disentangling the effects of adaptive learning rate and momentum.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Adaptive inertia: Disentangling the effects of adaptive learning rate and momentum
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:21:35.146810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1da727f9-35b9-4b7f-b884-6668a8ff1d21 · outbound
This paper cites Large batch optimization for deep learning: Training bert in 76 minutes.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Large batch optimization for deep learning: Training bert in 76 minutes
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:21:35.065198Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation faae2b69-5539-43a7-beee-8c369c5132d6 · outbound
This paper cites Cutmix: Regularization strategy to train strong classifiers with localizable features.IEEE/CVF International Conference on Computer Vision, 2019.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Cutmix: Regularization strategy to train strong classifiers with localizable features.IEEE/CVF International Conference on Computer Vision, 2019
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:21:35.132219Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ee1e9996-27ff-4491-81c3-6a9917aba78b · outbound
This paper cites Dauphin, and David Lopez-Paz.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Dauphin, and David Lopez-Paz
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:21:35.070724Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 44ab703e-5767-4456-aa53-2f2c9a548559 · outbound
This paper cites Eva: Practical second-order optimization with kronecker-vectorized approximation.
An Adaptive Method Stabilizing Activations for Enhanced Generalization Eva: Practical second-order optimization with kronecker-vectorized approximation
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:21:35.117443Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f43a628b-43ef-45e8-933c-245d31eb7789 · outbound
This paper cites TX t=1 ηtgt/ p bvt 2 # ≤E.
An Adaptive Method Stabilizing Activations for Enhanced Generalization TX t=1 ηtgt/ p bvt 2 # ≤E
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:21:35.106504Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Pith citing papers
No inbound Pith citation observations are available.