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  1. GDumb GDumb Public

    Simplified code for our paper "GDumb: A Simple Approach that Questions Our Progress in Continual Learning". Easily extensible to various settings, datasets and architectures.

    Python 89 10

  2. Deep-Expander-Networks Deep-Expander-Networks Public

    Implementation of our ECCV '18 paper " Deep Expander Networks: Efficient Deep Networks from Graph Theory".

    Python 41 11

  3. Sub-word-LSTM Sub-word-LSTM Public

    Codes for the paper "Towards Sub-Word Level Compositions for Sentiment Analysis of Hi-En Code Mixed Text "

    Python 35 21

  4. BudgetCL BudgetCL Public

    Code for CVPR paper: Computationally Budgeted Continual Learning: What Does Matter?

    Python 17 2

  5. Sampling-Bias-Active-Learning Sampling-Bias-Active-Learning Public

    Code for the paper "Sampling Bias in Deep Active Classification: An Empirical Study"

    Python 16 3

  6. ACM ACM Public

    Codebase for adaptive continual memory

    Python 12