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  1. Invariant-Representation-for-Continual-Learning Invariant-Representation-for-Continual-Learning Public

    Implementation for the paper "Learning Invariant Representation for Continual Learning" in PyTorch.

    Python 12 4

  2. Self-Attention-Meta-Learner-for-Continual-Learning Self-Attention-Meta-Learner-for-Continual-Learning Public

    Implementation for the paper "Self-Attention Meta-Learner for Continual Learning" in PyTorch.

    Python 12 2

  3. WAST WAST Public

    [NeurIPS2022] Where to Pay Attention in Sparse Training for Feature Selection?

    Python 12 1

  4. Dynamic-Sparse-Training-for-Deep-Reinforcement-Learning Dynamic-Sparse-Training-for-Deep-Reinforcement-Learning Public

    [IJCAI 2022] "Dynamic Sparse Training for Deep Reinforcement Learning" by Ghada Sokar, Elena Mocanu , Decebal Constantin Mocanu, Mykola Pechenizkiy, and Peter Stone.

    Python 11 1

  5. SpaceNet SpaceNet Public

    Implementation for the paper "SpaceNet: Make Free Space For Continual Learning" in PyTorch.

    Python 9

  6. Sparse-Denosing-AutoEncoder Sparse-Denosing-AutoEncoder Public

    A pure implementation for sparse denoising autoencoder with adaptive evolutionary training using Scipy. The sparse implementation makes the algorithm scalable to high dimensional data and trainable…

    Python 4