Nicholas Roberts

According to our database1, Nicholas Roberts authored at least 17 papers between 2018 and 2023.

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Bibliography

2023
Tragedy, Truth, and Technology: The 3T Theory of Social Media-Driven Misinformation.
J. Assoc. Inf. Syst., 2023

Multi-Agent Simulation Based Framework for Power Restoration Time Estimation at Distribution Level.
Proceedings of the Winter Simulation Conference, 2023

Geometry-Aware Adaptation for Pretrained Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Skill-it! A data-driven skills framework for understanding and training language models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Lifting Weak Supervision To Structured Prediction.
CoRR, 2022

AutoML for Climate Change: A Call to Action.
CoRR, 2022

NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse Tasks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Understanding IT Value at the Managerial Level: Managerial Ambidexterity, Seizing Opportunities, and the Moderating Role of Information Systems Use.
Data Base, 2021

NAS-Bench-360: Benchmarking Diverse Tasks for Neural Architecture Search.
CoRR, 2021

Rethinking Neural Operations for Diverse Tasks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021


2020
Decoding and Diversity in Machine Translation.
CoRR, 2020

2019
Model Weight Theft With Just Noise Inputs: The Curious Case of the Petulant Attacker.
CoRR, 2019

Deep Connectomics Networks: Neural Network Architectures Inspired by Neuronal Networks.
CoRR, 2019

Grassmannian Packings in Neural Networks: Learning with Maximal Subspace Packings for Diversity and Anti-Sparsity.
CoRR, 2019

2018
Learning from discriminative feature feedback.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018


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