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Neurips 2021 ML4Code-related Papers January, 2022

Many interesting papers appear every year at Neurips. Only a small subset are considered ml4code or of interest to ml4code community. So, to make life easier, I made a list.

  • Unsupervised Translation of Programming Languages
  • Multi-label Contrastive Predictive Coding
  • Feature Importance Ranking for Deep Learning
  • A Closer Look at Accuracy vs. Robustness
  • Graph Meta Learning via Local Subgraphs
  • PLANS: Neuro-Symbolic Program Learning from Videos
  • Workshop: KR2ML - Knowledge Representation and Reasoning Meets Machine Learning
  • Fast Transformers with Clustered Attention
  • Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases
  • Prediction with Corrupted Expert Advice
  • A graph similarity for deep learning

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