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Aggregation Delayed Federated Learning


Aug 17, 2021
Ye Xue, Diego Klabjan, Yuan Luo


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Logit-based Uncertainty Measure in Classification


Jul 06, 2021
Huiyu Wu, Diego Klabjan


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A Probabilistic Approach to Neural Network Pruning


May 20, 2021
Xin Qian, Diego Klabjan


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Non-Convex Optimization with Spectral Radius Regularization


Feb 22, 2021
Adam Sandler, Diego Klabjan, Yuan Luo

* 12 pages 

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Classification Models for Partially Ordered Sequences


Jan 31, 2021
Stephanie Ger, Diego Klabjan, Jean Utke


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Open Set Domain Adaptation by Extreme Value Theory


Dec 22, 2020
Yiming Xu, Diego Klabjan


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Concept Drift and Covariate Shift Detection Ensemble with Lagged Labels


Dec 15, 2020
Yiming Xu, Diego Klabjan


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Inverse Classification with Limited Budget and Maximum Number of Perturbed Samples


Sep 29, 2020
Jaehoon Koo, Diego Klabjan, Jean Utke


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Regret Bounds and Reinforcement Learning Exploration of EXP-based Algorithms


Sep 20, 2020
Mengfan Xu, Diego Klabjan

* 20 pages, 8 figures 

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Efficient Architecture Search for Continual Learning


Jun 09, 2020
Qiang Gao, Zhipeng Luo, Diego Klabjan

* 12 pages, 11 figures 

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Open-Set Recognition with Gaussian Mixture Variational Autoencoders


Jun 03, 2020
Alexander Cao, Yuan Luo, Diego Klabjan

* 12 pages including 8 figures and 4 tables, plus 6 pages of supplementary material 

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Neural Network Retraining for Model Serving


Apr 29, 2020
Diego Klabjan, Xiaofeng Zhu


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The Impact of the Mini-batch Size on the Variance of Gradients in Stochastic Gradient Descent


Apr 27, 2020
Xin Qian, Diego Klabjan


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Listwise Learning to Rank by Exploring Unique Ratings


Jan 23, 2020
Xiaofeng Zhu, Diego Klabjan

* WSDM 2020 

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Keyword-based Topic Modeling and Keyword Selection


Jan 22, 2020
Xingyu Wang, Lida Zhang, Diego Klabjan


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Conditional Hierarchical Bayesian Tucker Decomposition


Dec 12, 2019
Adam Sandler, Diego Klabjan, Yuan Luo

* 20 pages, added model evaluation and log-likelihood sections 

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Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension


Aug 20, 2019
Ye Xue, Diego Klabjan, Yuan Luo


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Mixture-based Multiple Imputation Models for Clinical Data with a Temporal Dimension


Aug 12, 2019
Ye Xue, Diego Klabjan, Yuan Luo


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Data Extraction from Charts via Single Deep Neural Network


Jun 06, 2019
Xiaoyi Liu, Diego Klabjan, Patrick NBless


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Dynamic Cell Structure via Recursive-Recurrent Neural Networks


May 25, 2019
Xin Qian, Matthew Kennedy, Diego Klabjan


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Scale Invariant Power Iteration


May 23, 2019
Cheolmin Kim, Youngseok Kim, Diego Klabjan


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Convergence Analyses of Online ADAM Algorithm in Convex Setting and Two-Layer ReLU Neural Network


May 22, 2019
Biyi Fang, Diego Klabjan


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Automatic Ontology Learning from Domain-Specific Short Unstructured Text Data


Mar 07, 2019
Yiming Xu, Dnyanesh Rajpathak, Ian Gibbs, Diego Klabjan


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Autoencoders and Generative Adversarial Networks for Anomaly Detection for Sequences


Jan 15, 2019
Stephanie Ger, Diego Klabjan


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Layer Flexible Adaptive Computational Time for Recurrent Neural Networks


Dec 14, 2018
Lida Zhang, Diego Klabjan


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