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10/17/2019
Predicting retrosynthetic pathways using a combined linguistic model and hyper-graph exploration strategy
We present an extension of our Molecular Transformer architecture combin...
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09/24/2019
Constrained deep neural network architecture search for IoT devices accounting hardware calibration
Deep neural networks achieve outstanding results in challenging image cl...
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07/19/2019
An Information Extraction and Knowledge Graph Platform for Accelerating Biochemical Discoveries
Information extraction and data mining in biochemical literature is a da...
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01/17/2019
NeuNetS: An Automated Synthesis Engine for Neural Network Design
Application of neural networks to a vast variety of practical applicatio...
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11/06/2018
Molecular Transformer for Chemical Reaction Prediction and Uncertainty Estimation
Organic synthesis is one of the key stumbling blocks in medicinal chemis...
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05/24/2018
Corpus Conversion Service: A Machine Learning Platform to Ingest Documents at Scale
Over the past few decades, the amount of scientific articles and technic...
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05/15/2018
Corpus Conversion Service: A machine learning platform to ingest documents at scale [Poster abstract]
Over the past few decades, the amount of scientific articles and technic...
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03/27/2018
Incremental Training of Deep Convolutional Neural Networks
We propose an incremental training method that partitions the original n...
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03/26/2018
BAGAN: Data Augmentation with Balancing GAN
Image classification datasets are often imbalanced, characteristic that ...
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03/26/2018
Efficient Image Dataset Classification Difficulty Estimation for Predicting Deep-Learning Accuracy
In the deep-learning community new algorithms are published at an incred...
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11/13/2017