Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning | Paper Citation Record

Observation 645bf26d-8e62-4184-97a2-88272d8ee20d · outbound

This paper cites Sharp minima can generalize for deep nets,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning Sharp minima can generalize for deep nets,

Reference 1

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Observation 9529e691-e06d-475c-96b3-41009e021ec5 · outbound

This paper cites Flat minima,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning Flat minima,

Reference 2

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Observation d947bfd3-74b6-4601-9131-7e0f8bf1a364 · outbound

This paper cites On large-batch training for deep learning: Generalization gap and sharp minima,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning On large-batch training for deep learning: Generalization gap and sharp minima,

Reference 3

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Observation 2bfa557d-cfee-431c-8187-6d256b0abeff · outbound

This paper cites Sharpness- aware minimization for efficiently improving generalization,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning Sharpness- aware minimization for efficiently improving generalization,

Reference 4

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Observation 5952d9a4-a745-42e3-b39d-77bb100f7663 · outbound

This paper cites Extragra- dient method in optimization: Convergence and complexity,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning Extragra- dient method in optimization: Convergence and complexity,

Reference 5

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Observation 916b1967-189d-4c3d-97ef-aba6722d6bad · outbound

This paper cites Learning multiple layers of features from tiny images,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning Learning multiple layers of features from tiny images,

Reference 6

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Observation edc9958b-cc74-4065-a78f-b992a15d8fc3 · outbound

This paper cites ImageNet: a large-scale hierarchical image database,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning ImageNet: a large-scale hierarchical image database,

Reference 7

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Observation 2503ade6-93a3-4af8-bc8f-d6b8f3b5fa88 · outbound

This paper cites Microsoft COCO: common objects in context,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning Microsoft COCO: common objects in context,

Reference 8

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Observation 3861c3ae-a875-4d64-a325-8af7fc4a295c · outbound

This paper cites LVIS: A dataset for large vo- cabulary instance segmentation,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning LVIS: A dataset for large vo- cabulary instance segmentation,

Reference 9

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Observation 46edab18-e2f4-4f5d-83b2-602dd25d11eb · outbound

This paper cites Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC).

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)

Reference 10

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This paper cites BoolQ: exploring the surprising difficulty of natu- ral yes/no questions,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning BoolQ: exploring the surprising difficulty of natu- ral yes/no questions,

Reference 11

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Observation e30243e8-5a04-4e2b-a8dd-3018023688a0 · outbound

This paper cites Towards understanding sharpness-aware minimization,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning Towards understanding sharpness-aware minimization,

Reference 12

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Observation 7344e63f-e1b9-4255-ab34-298fe5fbb8dc · outbound

This paper cites Entropy-SGD: Biasing gradient descent into wide valleys,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning Entropy-SGD: Biasing gradient descent into wide valleys,

Reference 13

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Observation 305258f6-e1b1-420b-8b1b-f820fb0bfbee · outbound

This paper cites Visualizing the loss landscape of neural nets,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning Visualizing the loss landscape of neural nets,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:25:03.408811Z

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Observation 0028d09c-03c6-4f78-9627-4a368f7ebad4 · outbound

This paper cites A modern look at the relationship between sharpness and generalization,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning A modern look at the relationship between sharpness and generalization,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:25:03.399417Z

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Observation 2eaa6332-2f9c-434a-95c0-d6798f12fd92 · outbound

This paper cites Flat minima and generalization: Insights from stochastic convex optimization,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning Flat minima and generalization: Insights from stochastic convex optimization,

Reference 16

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Observation 922e4e4e-f08f-4405-8de0-51b532f8b52a · outbound

This paper cites Flat Minima and Generalization: Insights from Stochastic Convex Optimization.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning Flat Minima and Generalization: Insights from Stochastic Convex Optimization

Reference 17

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Observation e1838da2-b8bf-47d9-852f-84df29622367 · outbound

This paper cites The Split Matters: Flat Minima Methods for Improving the Performance of GNNs.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning The Split Matters: Flat Minima Methods for Improving the Performance of GNNs

Reference 18

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Observation 455dbfcb-8ed0-4d4f-8caa-770c63763b6f · outbound

This paper cites Do sharpness- based optimizers improve generalization in medical image analy- sis?.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning Do sharpness- based optimizers improve generalization in medical image analy- sis?

Reference 19

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Observation cd0b41a7-ec22-48b8-af5d-cb0e790c429f · outbound

This paper cites ASAM: Adaptive sharpness-aware minimization for scale-invariant learning of deep neural networks,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning ASAM: Adaptive sharpness-aware minimization for scale-invariant learning of deep neural networks,

Reference 20

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Observation 206853b2-6737-4ffa-a510-d6ae88b49d7b · outbound

This paper cites Sharpness-aware lookahead for accelerating convergence and improving generalization,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning Sharpness-aware lookahead for accelerating convergence and improving generalization,

Reference 21

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Observation c04604f8-6d37-4deb-aa1f-e62d5f2cfc7d · outbound

This paper cites Query-efficient meta attack to deep neural networks,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning Query-efficient meta attack to deep neural networks,

Reference 22

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Observation 1183eab9-916e-444e-93ec-7e5b1ac2b135 · outbound

This paper cites Friendly sharpness-aware minimization,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning Friendly sharpness-aware minimization,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:25:03.364443Z

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Observation 5b9065a2-279c-43d0-8882-dda7b891f2c7 · outbound

This paper cites Surrogate gap minimiza- tion improves sharpness-aware training,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning Surrogate gap minimiza- tion improves sharpness-aware training,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:25:03.375680Z

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Observation 538c060c-7342-4bd6-91ec-a5a7515f21a8 · outbound

This paper cites Sharpness-aware minimization: General analysis and improved rates,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning Sharpness-aware minimization: General analysis and improved rates,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:25:03.351289Z

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Observation a302622e-dec0-4940-8cce-99d6b95879ff · outbound

This paper cites A method for solving the convex programming problem with convergence rateO(1/k 2),.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning A method for solving the convex programming problem with convergence rateO(1/k 2),

Reference 26

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Observation dba49c60-bbf0-417d-a95d-3fd0326334d4 · outbound

This paper cites From error bounds to the complexity of first-order descent methods for convex functions,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning From error bounds to the complexity of first-order descent methods for convex functions,

Reference 27

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Observation 9744b033-71ac-4b9a-8742-d8d460b20095 · outbound

This paper cites PAC-bayesian model averaging,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning PAC-bayesian model averaging,

Reference 28

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Observation d8878681-55fa-4f43-a134-0c202da0a462 · outbound

This paper cites Fantastic generalization measures and where to find them,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning Fantastic generalization measures and where to find them,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:25:03.382898Z

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Observation 8c0c9911-151f-4939-a92b-822872f074b8 · outbound

This paper cites Deep residual learning for image recognition.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning Deep residual learning for image recognition

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:25:03.299485Z

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Observation bffd2639-c567-4ce2-8485-c0739e7145af · outbound

This paper cites Deep pyramidal residual networks,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning Deep pyramidal residual networks,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:25:03.264490Z

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Observation 2134bfb3-1eed-4f0a-81d3-32c582132e05 · outbound

This paper cites Wide residual networks,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning Wide residual networks,

Reference 32

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Observation 0fe2c42e-06e8-4aa6-bd6a-05fc55b2fafd · outbound

This paper cites AutoAugment: Learning augmentation strategies from data,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning AutoAugment: Learning augmentation strategies from data,

Reference 33

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Observation 174d3c1c-bfd0-4b68-816f-613390750d98 · outbound

This paper cites CutMix: Regularization strategy to train strong classifiers with localizable features,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning CutMix: Regularization strategy to train strong classifiers with localizable features,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:25:03.392228Z

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Observation a9adcfa5-25c0-4c9a-af2b-73436fb77088 · outbound

This paper cites When does label smoothing help?.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning When does label smoothing help?

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:25:03.318598Z

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Observation dffb6022-ef33-4ab3-a2e5-c48b685a79fb · outbound

This paper cites mixup: Beyond empirical risk minimization,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning mixup: Beyond empirical risk minimization,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:25:03.364771Z

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Observation 666f304b-47c9-45c3-ab86-b33633206248 · outbound

This paper cites Adam: A method for stochastic optimiza- tion,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning Adam: A method for stochastic optimiza- tion,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:25:03.289877Z

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Observation df8ed461-a18a-410e-9e66-d2815a3a7ac9 · outbound

This paper cites SGDR: Stochastic gradient descent with warm restarts.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning SGDR: Stochastic gradient descent with warm restarts

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:25:03.369287Z

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Observation a83e5428-bd6a-4a60-8318-f3371bf1126d · outbound

This paper cites Lookahead optimizer: k steps forward, 1 step back,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning Lookahead optimizer: k steps forward, 1 step back,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:25:03.366450Z

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Observation 4f96f3c2-2b74-407f-92fd-7e15dbdf4e57 · outbound

This paper cites RADAM: Texture recognition through randomized aggregated encoding of deep activation maps,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning RADAM: Texture recognition through randomized aggregated encoding of deep activation maps,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:25:03.387678Z

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Observation 2f7f4776-6ea2-40aa-bdb8-a57f6e59509e · outbound

This paper cites An automatic method for finding the greatest or least value of a function,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning An automatic method for finding the greatest or least value of a function,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:25:03.404229Z

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Observation 9de9645d-9db7-44ff-972c-04b1351696a0 · outbound

This paper cites The extragradient method for finding saddle points and other problems,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning The extragradient method for finding saddle points and other problems,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:25:03.371276Z

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Observation db982af1-6a29-45e5-a72c-19203720cb2b · outbound

This paper cites Error bounds and convergence analysis of feasible descent methods: A general approach,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning Error bounds and convergence analysis of feasible descent methods: A general approach,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:25:03.387471Z

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Observation b568a5e5-5e22-4138-9cd9-d8cb8a32de94 · outbound

This paper cites On the convergence of the proximal algorithm for nonsmooth functions involving analytic features,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning On the convergence of the proximal algorithm for nonsmooth functions involving analytic features,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:25:03.406692Z

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Observation 54f7a8e4-c92f-464b-b7b9-da8663c1ee7b · outbound

This paper cites Convergence of descent methods for semi-algebraic and tame problems: Proximal algo- rithms, forward–backward splitting, and regularized gauss–seidel methods,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning Convergence of descent methods for semi-algebraic and tame problems: Proximal algo- rithms, forward–backward splitting, and regularized gauss–seidel methods,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:25:03.299789Z

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Observation ef214653-7dce-4faa-8133-71f40d932194 · outbound

This paper cites Proximal alternating lin- earized minimization for nonconvex and nonsmooth problems,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning Proximal alternating lin- earized minimization for nonconvex and nonsmooth problems,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:25:03.358395Z

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Observation 1aad74c8-961c-486a-b347-afd003052bde · outbound

This paper cites A fast iterative shrinkage-thresholding algorithm for linear inverse problems.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning A fast iterative shrinkage-thresholding algorithm for linear inverse problems

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:25:03.360593Z

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Observation 1e05631d-7b46-4c13-a58b-9c89cb487861 · outbound

This paper cites Extragradient preference opti- mization (EGPO): Beyond last-iterate convergence for nash learn- ing from human feedback,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning Extragradient preference opti- mization (EGPO): Beyond last-iterate convergence for nash learn- ing from human feedback,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:25:03.390039Z

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Observation a9e326bc-0fa9-4e28-b372-be4f68a6500c · outbound

This paper cites An investigation into neural net optimization via hessian eigenvalue density,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning An investigation into neural net optimization via hessian eigenvalue density,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:25:03.351460Z

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Observation 831f8042-706b-4d1b-ae1e-bfb182533aa5 · outbound

This paper cites Stability and generalization.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning Stability and generalization

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:25:03.353947Z

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Observation 96c5e882-4dd1-4aa0-9d38-9bb2760dc3fe · outbound

This paper cites Train faster, generalize better: Stability of stochastic gradient descent,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning Train faster, generalize better: Stability of stochastic gradient descent,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:25:03.346888Z

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Observation f118ded5-8c77-499a-9447-5aecd6690be5 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning An image is worth 16x16 words: Transformers for image recognition at scale

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:25:03.349369Z

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Observation b5c59ba3-5f73-49f6-ae5a-40be3096335d · outbound

This paper cites Faster R-CNN: Towards real-time object detection with region proposal networks,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning Faster R-CNN: Towards real-time object detection with region proposal networks,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:25:03.343699Z

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Observation 9656607a-6ec0-4997-8187-df974c51e141 · outbound

This paper cites U-Net: Convolutional networks for biomedical image segmentation,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning U-Net: Convolutional networks for biomedical image segmentation,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:25:03.307953Z

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Observation 086ac0cb-022d-427b-8db4-3176cc4985e9 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer,.

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning Exploring the limits of transfer learning with a unified text-to-text transformer,

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-07-08T15:25:03.070027Z

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