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1000 results for “OpenRefine”
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Uncertainty-Based Active Learning for Reading Comprehension
Jing Wang, Jie Shen, Xiaofei Ma, Andrew Arnold
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Uncertainty-Based Active Learning for Reading Comprehension
Jing Wang, Jie Shen, Xiaofei Ma, Andrew Arnold
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Uncertainty-Based Active Learning for Reading Comprehension
Jing Wang, Jie Shen, Xiaofei Ma, Andrew Arnold
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Uncertainty-Based Active Learning for Reading Comprehension
Jing Wang, Jie Shen, Xiaofei Ma, Andrew Arnold
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Learning to correct spectral methods for simulating turbulent flows
Gideon Dresdner, Dmitrii Kochkov, Peter Christian Norgaard et al.
Action editor: Ivan Oseledets.
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Conformal Prediction Intervals with Temporal Dependence
Zhen Lin, Shubhendu Trivedi, Jimeng Sun
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Machine Explanations and Human Understanding
Chacha Chen, Shi Feng, Amit Sharma, Chenhao Tan
Action editor: Stefan Lee.
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Improving the Trainability of Deep Neural Networks through Layerwise Batch-Entropy Regularization
David Peer, Bart Keulen, Sebastian Stabinger, Justus Piater, Antonio Rodriguez-sanchez
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New #ReproducibilityCertification:
A Stochastic Proximal Polyak Step Size
Fabian Schaipp, Robert M. Gower, Michael Ulbrich
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A Stochastic Proximal Polyak Step Size
Fabian Schaipp, Robert M. Gower, Michael Ulbrich
Action editor: Stephen Becker.
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Bayesian Transformed Gaussian Processes
Xinran Zhu, Leo Huang, Eric Hans Lee, Cameron Alexander Ibrahim, David Bindel
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Bayesian Optimization with Informative Covariance
Afonso Eduardo, Michael U. Gutmann
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A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues
Mohamed Abdelhack, Jiaming Zhang, Sandhya Tripathi et al.
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Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models
Juan Lopez Alcaraz, Nils Strodthoff
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Robustness through Data Augmentation Loss Consistency
Tianjian Huang, Shaunak Ashish Halbe, Chinnadhurai Sankar et al.
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Accelerated Quality-Diversity through Massive Parallelism
Bryan Lim, Maxime Allard, Luca Grillotti, Antoine Cully
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Accelerated Quality-Diversity through Massive Parallelism
Bryan Lim, Maxime Allard, Luca Grillotti, Antoine Cully
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Accelerated Quality-Diversity through Massive Parallelism
Bryan Lim, Maxime Allard, Luca Grillotti, Antoine Cully
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Accelerated Quality-Diversity through Massive Parallelism
Bryan Lim, Maxime Allard, Luca Grillotti, Antoine Cully
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Investigating Action Encodings in Recurrent Neural Networks in Reinforcement Learning
Matthew Kyle Schlegel, Volodymyr Tkachuk, Adam M White, Martha White
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Decoding EEG With Spiking Neural Networks on Neuromorphic Hardware
Neelesh Kumar, Guangzhi Tang, Raymond Yoo, Konstantinos P. Michmizos
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Communication-Efficient Distributionally Robust Decentralized Learning
Matteo Zecchin, Marios Kountouris, David Gesbert
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New #ReproducibilityCertification:
Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts
Rohit Agarwal, Deepak Gupta, Alexander Horsch, Dilip K. Prasad
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New #ReproducibilityCertification:
Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts
Rohit Agarwal, Deepak Gupta, Alexander Horsch, Dilip K. Prasad
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New #ReproducibilityCertification:
A Stochastic Proximal Polyak Step Size
Fabian Schaipp, Robert M. Gower, Michael Ulbrich
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New #ReproducibilityCertification:
Explaining Visual Counterfactual Explainers
Diego Velazquez, Pau Rodriguez, Alexandre Lacoste, Issam H. Laradji, Xavier Roca, Jordi Gonzàlez
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New #ReproducibilityCertification:
Explaining Visual Counterfactual Explainers
Diego Velazquez, Pau Rodriguez, Alexandre Lacoste, Issam H. Laradji, Xavier Roca, Jordi Gonzàlez
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New #ReproducibilityCertification:
Explaining Visual Counterfactual Explainers
Diego Velazquez, Pau Rodriguez, Alexandre Lacoste, Issam H. Laradji, Xavier Roca, Jordi Gonzàlez
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New #ReproducibilityCertification:
PRUDEX-Compass: Towards Systematic Evaluation of Reinforcement Learning in Financial Markets
Shuo Sun, Molei Qin, Xinrun Wang, Bo An
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New #ReproducibilityCertification:
PRUDEX-Compass: Towards Systematic Evaluation of Reinforcement Learning in Financial Markets
Shuo Sun, Molei Qin, Xinrun Wang, Bo An