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flatter minima

8 papers

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neural network optimization (3) neural network (2) stochastic gradient descent (2) sharpness regularization (1) function-space estimation (1) sgd optimizer (1) flatter minimum (1) function space learning (1) hessian eigenspectrum (1) loss landscape analysis (1)

Papers

QT-DoG: Quantization-Aware Training for Domain Generalization ICML 2025 Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training ICLR 2025 Transformers Learn Low Sensitivity Functions: Investigations and Implications ICLR 2025 Stochastic Modified Equations and Dynamics of Dropout Algorithm ICLR 2024 Lookaround Optimizer: k steps around, 1 step average NeurIPS 2023 Should We Learn Most Likely Functions or Parameters? NeurIPS 2023 A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization AAAI 2021 BN-invariant Sharpness Regularizes the Training Model to Better Generalization IJCAI 2019