246 citations · 640 across the 16 of their papers we have counts for
8 papers · 1 filter
Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction
Garrett B. Goh, Charles Siegel, Abhinav Vishnu +1
With access to large datasets, deep neural networks (DNN) have achieved human-level accuracy in image and speech recognition tasks. However, in chemistry, data is inherently small…
Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR Models
Garrett B. Goh, Charles Siegel, Abhinav Vishnu +2
In the last few years, we have seen the transformative impact of deep learning in many applications, particularly in speech recognition and computer vision. Inspired by Google's In…
Using Social Media to Predict the Future: A Systematic Literature Review
Lawrence Phillips, Chase Dowling, Kyle Shaffer +2
Social media (SM) data provides a vast record of humanity's everyday thoughts, feelings, and actions at a resolution previously unimaginable. Because user behavior on SM is a refle…
Understanding Cognitive Depletion in Novice NMR Analysts
Lyndsey Franklin, Kyungsik Han, Zhuanyi Huang +2
We present the results of a user study with novice NMR analysts (N=19) involving a gamified simulation of the NMR analysis process. Participants solved randomly generated spectrum…
Assessing the Linguistic Productivity of Unsupervised Deep Neural Networks
Lawrence Phillips, Nathan Hodas
Increasingly, cognitive scientists have demonstrated interest in applying tools from deep learning. One use for deep learning is in language acquisition where it is useful to know…
Cognitive Depletion in the Wild: a Case Study of NMR Spectroscopy Analysis
Lyndsey Franklin, Nathan Hodas
NMR spectroscopy analysis is a detail-oriented analytic feat that typically requires specific domain expertise and hours of concentration. This work presents an ethnographic-style…
Will Break for Productivity: Generalized Symptoms of Cognitive Depletion
Lyndsey Franklin, Kristina Lerman, Nathan Hodas
In this work, we address the symptoms of cognitive depletion as they relate to generalized knowledge workers. We unify previous findings within a single analytical model of cogniti…
Deep Learning for Computational Chemistry
Garrett B. Goh, Nathan O. Hodas, Abhinav Vishnu
The rise and fall of artificial neural networks is well documented in the scientific literature of both computer science and computational chemistry. Yet almost two decades later,…