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1000 results for “OpenRefine”
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On Averaging ROC Curves
Jack Hogan, Niall M. Adams
Action editor: Hsuan-Tien Lin.
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Assuming Locally Equal Calibration Errors for Non-Parametric Multiclass Calibration
Kaspar Valk, Meelis Kull
Action editor: Aditya Menon.
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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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Learning better with Dale’s Law: A Spectral Perspective - #NeurIPS2023 contribution by Li et al. (2023). It discusses how to train brainlike #RNNs with separate inhibitory and excitatory units with similar performance as standard RNNs:
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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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Contextualize Me – The Case for Context in Reinforcement Learning
Carolin Benjamins, Theresa Eimer, Frederik Schubert et al.
Action editor: Adam White.
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Communication-Efficient Distributionally Robust Decentralized Learning
Matteo Zecchin, Marios Kountouris, David Gesbert
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WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
Jean-Christophe Gagnon-Audet, Kartik Ahuja, Mohammad Javad Darvishi Bayazi et al.
Action editor: Antoni Chan.
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New #ReproducibilityCertification:
Numerical Data Imputation for Multimodal Data Sets: A Probabilistic Nearest-Neighbor Kernel Densi...
Florian Lalande, Kenji Doya
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New #ReproducibilityCertification:
Numerical Data Imputation for Multimodal Data Sets: A Probabilistic Nearest-Neighbor Kernel Densi...
Florian Lalande, Kenji Doya
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New #ReproducibilityCertification:
Numerical Data Imputation for Multimodal Data Sets: A Probabilistic Nearest-Neighbor Kernel Densi...
Florian Lalande, Kenji Doya
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New #ReproducibilityCertification:
Numerical Data Imputation for Multimodal Data Sets: A Probabilistic Nearest-Neighbor Kernel Densi...
Florian Lalande, Kenji Doya
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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
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New #ReproducibilityCertification:
Non-Deterministic Behavior of Thompson Sampling with Linear Payoffs and How to Avoid It
Doruk Kilitcioglu, Serdar Kadioglu
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New #ReproducibilityCertification:
Non-Deterministic Behavior of Thompson Sampling with Linear Payoffs and How to Avoid It
Doruk Kilitcioglu, Serdar Kadioglu
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New #ReproducibilityCertification:
Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter
Jaime Spencer, Chris Russell, Simon Hadfield, Richard Bowden
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New #ReproducibilityCertification:
Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter
Jaime Spencer, Chris Russell, Simon Hadfield, Richard Bowden
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Transfer Entropy Bottleneck: Learning Sequence to Sequence Information Transfer
Damjan Kalajdzievski, Ximeng Mao, Pascal Fortier-Poisson, Guillaume Lajoie, Blake Aaron Richards
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Towards Multi-spatiotemporal-scale Generalized PDE Modeling
Jayesh K Gupta, Johannes Brandstetter
Action editor: Vikas Sindhwani.