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Found 6 papers, 5 papers with code
Self-Supervised Contrastive Learning for Long-term Forecasting
To this end, our contrastive loss incorporates global autocorrelation held in the whole time series, which facilitates the construction of positive and negative pairs in a self-supervised manner.
Ranked #1 on
Time Series Forecasting
on ETTh1 (720) Univariate
Deep Imbalanced Time-series Forecasting via Local Discrepancy Density
Based on our findings, we propose a reweighting framework that down-weights the losses incurred by abrupt changes and up-weights those by normal states.
Enemy Spotted: in-game gun sound dataset for gunshot classification and localization
By exploiting the advantage of the game environment, we construct a gunshot dataset, namely BGG, for the firearm classification and gunshot localization tasks.
Knowledge Graph-based Question Answering with Electronic Health Records
Question Answering (QA) is a widely-used framework for developing and evaluating an intelligent machine.
What and Where to Translate: Local Mask-based Image-to-Image Translation
First, those methods extract style from an entire exemplar which includes noisy information, which impedes a translation model from properly extracting the intended style of the exemplar.
Local Image-to-Image Translation via Pixel-wise Highway Adaptive Instance Normalization
Recently, image-to-image translation has seen a significant success.
