Adds support for controlling the RGB LED present on PS4/Etpark gamepads from OpModes Removes legacy Pushbot references from OpMode samples. Renames "Pushbot" samples to "Robot". Motor directions reversed to be compatible with "direct Drive" drive train. Bug fixes Fixesissue #316(MatrixF.inve...
Web-scale ranking systems at Meta serving billions of users is complex. Improving ranking models is essential but engineering heavy. Automated Machine Learning (AutoML) can release engineers from labor intensive work of tuning ranking models; however, it is unknown if AutoML is efficient enough to ...
we remove the datasets having the length of time series less than 200 and choose the top 20 datasets with the largest number of time series for our evaluation. (The datasets MixedShapesSmallTrain and FreezerSmallTrain are not included because they are the ...
Amram, O. & Suarez, C. M. Tag N’ Train: a technique to train improved classifiers on unlabeled data. J. High Energy Phys. 01, 153 (2021). Article ADS Google Scholar Collins, J. H., Martín-Ramiro, P., Nachman, B. & Shih, D. Comparing weak- and unsupervised methods for reso...
One of their main selling points was that it would be multimodal but Open AI beat them to it by adding new multimodal features to ChatGPT. Google still has one major advantage: Their vast data sets. In the meantime, we’ll keep watch as the battle between the AI players continues....
With the promotion of the major strategy of national transportation power, the super-large-scale metro operation network has become an inevitable trend, an
Acquisition of new skills has the potential to disturb existing network function. To directly assess whether previously acquired cortical function is altered during learning, mice were trained in an abstract task in which selected activity patterns were
The Scale Weight method is used to scale the gradient for the majority class. This method doesn't modify dataset instances but changes the weights of the majority class. The idea is that if the model fails to correctly predict minority class instances, it will force the model to take care ...
However, existing methods lack the capability to achieve fully autonomous large-scale formation flight in dense environments. To bridge the gap, we present a complete formation flight system that effectively integrates real-world constraints into aerial formation navigation. This paper proposes a ...
The prevalent fully-connected tensor network (FCTN) has achieved excellent success to compress data. However, the FCTN decomposition suffers from slow computational speed when facing higher-order and large-scale data. Naturally, there arises an interesting question: can a new model be proposed that ...