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02/23/2023
Language Model Crossover: Variation through Few-Shot Prompting
This paper pursues the insight that language models naturally enable an ...
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02/19/2022
Simple Genetic Operators are Universal Approximators of Probability Distributions (and other Advantages of Expressive Encodings)
This paper characterizes the inherent power of evolutionary algorithms. ...
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10/05/2020
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings
This paper frames a general prediction system as an observer traveling a...
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05/28/2020
From Prediction to Prescription: AI-Based Optimization of Non-Pharmaceutical Interventions for the COVID-19 Pandemic
Several models have been developed to predict how the COVID-19 pandemic ...
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02/13/2020
Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription
There is now significant historical data available on decision making in...
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06/03/2019
Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel
Neural Networks (NNs) have been extensively used for a wide spectrum of ...
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05/31/2019
Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains
As deep learning applications continue to become more diverse, an intere...
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02/18/2019
Evolutionary Neural AutoML for Deep Learning
Deep neural networks (DNNs) have produced state-of-the-art results in ma...
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03/11/2018
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing---and Back
Deep multitask learning boosts performance by sharing learned structure ...
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03/10/2018
Evolutionary Architecture Search For Deep Multitask Networks
Multitask learning, i.e. learning several tasks at once with the same ne...
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10/31/2017
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering
Existing deep multitask learning (MTL) approaches align layers shared be...
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04/18/2017
Discovering Evolutionary Stepping Stones through Behavior Domination
Behavior domination is proposed as a tool for understanding and harnessi...
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03/01/2017
Evolving Deep Neural Networks
The success of deep learning depends on finding an architecture to fit t...
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12/04/2015