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adaptive-inertia-adai
adaptive-inertia-adai Public[ICML 2022, Oral] The PyTorch Implementation of Adaptive Inertia Methods. The algorithms are based on our paper: "Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum".
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artificial-neural-variability-for-deep-learning
artificial-neural-variability-for-deep-learning Public[Neural Computation, MIT Press] The PyTorch Implementation of Variable Optimizers/ Neural Variable Risk Minimization proposed in our Neural Computation paper: Artificial Neural Variability for Deep…
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stable-weight-decay-regularization
stable-weight-decay-regularization Public[NeurIPS 2023] The PyTorch Implementation of Scheduled (Stable) Weight Decay.
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Positive-Negative-Momentum
Positive-Negative-Momentum Public[ICML 2021] The official PyTorch Implementations of Positive-Negative Momentum Optimizers.
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xie-lab-ml/deep-learning-dynamics-paper-list
xie-lab-ml/deep-learning-dynamics-paper-list PublicThis is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success of deep learning attributes to both network architecture and …
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Madaoer/S3IM-Neural-Fields
Madaoer/S3IM-Neural-Fields Public[ICCV 2023] Pytorch implementation of "S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields".
22 contributions in the last year
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