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1. l2b l2b Public

   Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)

   Python 98 10

2. JWoong148/ContinualTrajectoryShifting JWoong148/ContinualTrajectoryShifting Public

   Pytorch implementation of "Large-Scale Meta-Learning with Continual Trajectory Shifting" (ICML 2021)

   Python 17 1

3. JWoong148/MetaPerturb JWoong148/MetaPerturb Public

   Pytorch implementation of “MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures” (NeurIPS 2020 spotlight)

   Python 13 1

4. metadrop metadrop Public

   Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)

   Python 26 4

5. dropmax dropmax Public

   Tensorflow implementation of DropMax: Adaptive Variational Softmax (NeurIPS2018)

   Python 19 2