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11/22/2021
Adaptive Transfer Learning: a simple but effective transfer learning
Transfer learning (TL) leverages previously obtained knowledge to learn ...
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06/02/2021
One Representation to Rule Them All: Identifying Out-of-Support Examples in Few-shot Learning with Generic Representations
The field of few-shot learning has made remarkable strides in developing...
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09/23/2020
Fuzzy Simplicial Networks: A Topology-Inspired Model to Improve Task Generalization in Few-shot Learning
Deep learning has shown great success in settings with massive amounts o...
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10/09/2018
The Outer Product Structure of Neural Network Derivatives
In this paper, we show that feedforward and recurrent neural networks ex...
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09/07/2018
Model of Cognitive Dynamics Predicts Performance on Standardized Tests
In the modern knowledge economy, success demands sustained focus and hig...
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05/13/2018
Doing the impossible: Why neural networks can be trained at all
As deep neural networks grow in size, from thousands to millions to bill...
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02/14/2018
Sharkzor: Interactive Deep Learning for Image Triage, Sort and Summary
Sharkzor is a web application for machine-learning assisted image sort a...
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02/12/2018
Few-Shot Learning with Metric-Agnostic Conditional Embeddings
Learning high quality class representations from few examples is a key p...
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12/07/2017
Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction
With access to large datasets, deep neural networks (DNN) have achieved ...
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12/07/2017
ChemNet: A Transferable and Generalizable Deep Neural Network for Small-Molecule Property Prediction
With access to large datasets, deep neural networks (DNN) have achieved ...
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12/06/2017
SMILES2Vec: An Interpretable General-Purpose Deep Neural Network for Predicting Chemical Properties
Chemical databases store information in text representations, and the SM...
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10/05/2017
How Much Chemistry Does a Deep Neural Network Need to Know to Make Accurate Predictions?
In the last few years, we have seen the rise of deep learning applicatio...
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08/22/2017
Dynamic Input Structure and Network Assembly for Few-Shot Learning
The ability to learn from a small number of examples has been a difficul...
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06/20/2017
Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR Models
In the last few years, we have seen the transformative impact of deep le...
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01/17/2017
Deep Learning for Computational Chemistry
The rise and fall of artificial neural networks is well documented in th...
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11/06/2016