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SparK

keyu-tian / SparK

Star 855

[ICLR'23 Spotlight] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"

ssl deep-learning convnet cnn pytorch convolutional-neural-networks object-detection bert iclr mae instance-segmentation mask-rcnn sparse-convolution self-supervised-learning pre-trained-model pretrain pretraining masked-autoencoder masked-image-modeling iclr2023
  • Updated Mar 21, 2023
  • Python
hierarchical-dnn-interpretations

csinva / hierarchical-dnn-interpretations

Star 113

Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)

python data-science machine-learning statistics deep-neural-networks ai deep-learning neural-network jupyter-notebook ml pytorch artificial-intelligence convolutional-neural-networks acd interpretation iclr interpretability feature-importance explainable-ai explainability
  • Updated Aug 25, 2021
  • Jupyter Notebook

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