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07/22/2022
Learning from Multiple Annotator Noisy Labels via Sample-wise Label Fusion
Data lies at the core of modern deep learning. The impressive performanc...
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05/24/2022
FreDo: Frequency Domain-based Long-Term Time Series Forecasting
The ability to forecast far into the future is highly beneficial to many...
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01/28/2021
Adjusting for Autocorrelated Errors in Neural Networks for Time Series Regression and Forecasting
In many cases, it is difficult to generate highly accurate models for ti...
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11/14/2020
Conditioned Natural Language Generation using only Unconditioned Language Model: An Exploration
Transformer-based language models have shown to be very powerful for nat...
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03/02/2020
Variational inference formulation for a model-free simulation of a dynamical system with unknown parameters by a recurrent neural network
We propose a recurrent neural network for a "model-free" simulation of a...
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09/07/2019
LAMAL: LAnguage Modeling Is All You Need for Lifelong Language Learning
Most research on lifelong learning (LLL) applies to images or games, but...
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09/12/2018
