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