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SMILES2Vec: An Interpretable General-Purpose Deep Neural Network for Predicting Chemical Properties., , , and . CoRR, (2017)What does fault tolerant deep learning need from MPI?, , , and . EuroMPI/USA, page 13:1-13:11. ACM, (2017)Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction, , , and . (2017)cite arxiv:1712.02734Comment: Submitted to SIGKDD 2018.Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction., , , and . KDD, page 302-310. ACM, (2018)Multimodal Deep Neural Networks using Both Engineered and Learned Representations for Biodegradability Prediction., , , , and . CoRR, (2018)Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR Models., , , , and . CoRR, (2017)GossipGraD: Scalable Deep Learning using Gossip Communication based Asynchronous Gradient Descent., , , , and . CoRR, (2018)User-transparent Distributed TensorFlow., , , and . CoRR, (2017)Recombination of Artificial Neural Networks., , , , , , , and . CoRR, (2019)How Much Chemistry Does a Deep Neural Network Need to Know to Make Accurate Predictions?, , , , and . CoRR, (2017)