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ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks
International Conference on Machine Learning (ICML), 2021
23 February 2021
Jungmin Kwon
Jeongseop Kim
Hyunseong Park
I. Choi
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Papers citing
"ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks"
50 / 224 papers shown
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Liang Zhang
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283
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18 Oct 2024
Sharpness-Aware Black-Box Optimization
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Yueming Lyu
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367
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16 Oct 2024
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Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late in Training
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14 Oct 2024
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212
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408
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Statewide Visual Geolocalization in the Wild
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325
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25 Sep 2024
Deep-learning real-time phase retrieval of imperfect diffraction patterns from X-ray free-electron lasers
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Changyong Song
238
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Fisher Information guided Purification against Backdoor Attacks
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329
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386
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Yaoqing Yang
195
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Improving SAM Requires Rethinking its Optimization Formulation
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Markus Heinonen
Luigi Acerbi
Samuel Kaski
216
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Adaptive Adversarial Cross-Entropy Loss for Sharpness-Aware Minimization
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Masayuki Tanaka
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233
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Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models
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391
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258
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Improving Generalization of Deep Neural Networks by Optimum Shifting
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172
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SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data
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