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10/11/2022
Robustify Transformers with Robust Kernel Density Estimation
Recent advances in Transformer architecture have empowered its empirical...
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06/27/2022
Split Localized Conformal Prediction
Conformal prediction is a simple and powerful tool that can quantify unc...
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05/27/2022
Efficient Forecasting of Large Scale Hierarchical Time Series via Multilevel Clustering
We propose a novel approach to the problem of clustering hierarchically ...
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02/15/2022
Architecture Agnostic Federated Learning for Neural Networks
With growing concerns regarding data privacy and rapid increase in data ...
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12/22/2021
MECATS: Mixture-of-Experts for Quantile Forecasts of Aggregated Time Series
We introduce a mixture of heterogeneous experts framework called , which...
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06/20/2021
Multi-Pair Text Style Transfer on Unbalanced Data
Text-style transfer aims to convert text given in one domain into anothe...
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02/25/2021
Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series
Many real-life applications involve simultaneously forecasting multiple ...
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11/20/2020
Certified Monotonic Neural Networks
Learning monotonic models with respect to a subset of the inputs is a de...
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11/01/2020
