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08/20/2023
ViT-Lens: Towards Omni-modal Representations
Though the success of CLIP-based training recipes in vision-language mod...
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02/04/2023
Neural Time Series Analysis with Fourier Transform: A Survey
Recently, Fourier transform has been widely introduced into deep neural ...
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01/27/2023
Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based Perspective
Multivariate time series (MTS) forecasting has penetrated and benefited ...
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01/17/2023
Masked Visual Reconstruction in Language Semantic Space
Both masked image modeling (MIM) and natural language supervision have f...
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10/06/2022
Edge-Varying Fourier Graph Networks for Multivariate Time Series Forecasting
The key problem in multivariate time series (MTS) analysis and forecasti...
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09/01/2022
Temporal Conditional VAE for Distributional Drift Adaptation in Multivariate Time Series
Due to the nonstationary nature, the distribution of real-world multivar...
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05/19/2022
Masked Image Modeling with Denoising Contrast
Since the development of self-supervised visual representation learning ...
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03/29/2022
mc-BEiT: Multi-choice Discretization for Image BERT Pre-training
Image BERT pre-training with masked image modeling (MIM) becomes a popul...
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02/17/2022
PENCIL: Deep Learning with Noisy Labels
Deep learning has achieved excellent performance in various computer vis...
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10/13/2021
Recommending POIs for Tourists by User Behavior Modeling and Pseudo-Rating
POI recommendation is a key task in tourism information systems. However...
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03/19/2019
