Nathan Oken Hodas

  • Pacific Northwest National Laboratory, Richland, WA, USA

According to our database1, Nathan Oken Hodas authored at least 41 papers between 2010 and 2021.

Collaborative distances:



In proceedings 
PhD thesis 




Adaptive Transfer Learning: a simple but effective transfer learning.
CoRR, 2021

One Representation to Rule Them All: Identifying Out-of-Support Examples in Few-shot Learning with Generic Representations.
CoRR, 2021

Prototypical Region Proposal Networks for Few-Shot Localization and Classification.
CoRR, 2021

Fuzzy Simplicial Networks: A Topology-Inspired Model to Improve Task Generalization in Few-shot Learning.
CoRR, 2020

Explanatory Masks for Neural Network Interpretability.
CoRR, 2019

Metric-Based Few-Shot Learning for Video Action Recognition.
CoRR, 2019

Learning Deep Neural Network Representations for Koopman Operators of Nonlinear Dynamical Systems.
Proceedings of the 2019 American Control Conference, 2019

The Outer Product Structure of Neural Network Derivatives.
CoRR, 2018

Model of Cognitive Dynamics Predicts Performance on Standardized Tests.
CoRR, 2018

Doing the impossible: Why neural networks can be trained at all.
CoRR, 2018

Sharkzor: Interactive Deep Learning for Image Triage, Sort and Summary.
CoRR, 2018

Few-Shot Learning with Metric-Agnostic Conditional Embeddings.
CoRR, 2018

How Much Chemistry Does a Deep Neural Network Need to Know to Make Accurate Predictions?
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

SHARKZOR: Human in the Loop ML for User-Defined Image Classification.
Proceedings of the 23rd International Conference on Intelligent User Interfaces Companion, 2018

A Koopman Operator Approach for Computing and Balancing Gramians for Discrete Time Nonlinear Systems.
Proceedings of the 2018 Annual American Control Conference, 2018

Deep learning for computational chemistry.
J. Comput. Chem., 2017

ChemNet: A Transferable and Generalizable Deep Neural Network for Small-Molecule Property Prediction.
CoRR, 2017

SMILES2Vec: An Interpretable General-Purpose Deep Neural Network for Predicting Chemical Properties.
CoRR, 2017

Bounded Rationality in Scholarly Knowledge Discovery.
CoRR, 2017

Dynamic Input Structure and Network Assembly for Few-Shot Learning.
CoRR, 2017

Using Social Media to Predict the Future: A Systematic Literature Review.
CoRR, 2017

Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR Models.
CoRR, 2017

Will Break for Productivity: Generalized Symptoms of Cognitive Depletion.
CoRR, 2017

Understanding Cognitive Depletion in Novice NMR Analysts.
CoRR, 2017

Cognitive Depletion in the Wild: a Case Study of NMR Spectroscopy Analysis.
CoRR, 2017

Intrinsic and Extrinsic Evaluation of Spatiotemporal Text Representations in Twitter Streams.
Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

Assessing the Linguistic Productivity of Unsupervised Deep Neural Networks.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

ShapeShop: Towards Understanding Deep Learning Representations via Interactive Experimentation.
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

Separating Facts from Fiction: Linguistic Models to Classify Suspicious and Trusted News Posts on Twitter.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Mutual information for fitting deep nonlinear models.
CoRR, 2016

Adding Semantic Information into Data Models by Learning Domain Expertise from User Interaction.
CoRR, 2016

Beyond Fine Tuning: A Modular Approach to Learning on Small Data.
CoRR, 2016

How a User's Personality Influences Content Engagement in Social Media.
Proceedings of the Social Informatics - 8th International Conference, 2016

Disentangling the Lexicons of Disaster Response in Twitter.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Network Weirdness: Exploring the Origins of Network Paradoxes.
Proceedings of the Eighth International Conference on Weblogs and Social Media, 2014

The Simple Rules of Social Contagion.
CoRR, 2013

Friendship Paradox Redux: Your Friends Are More Interesting Than You.
Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

Attention and visibility in an information-rich world.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013

How Visibility and Divided Attention Constrain Social Contagion.
Proceedings of the 2012 International Conference on Privacy, 2012

The Quality of Oscillations in Overdamped Networks.
CoRR, 2010