We have made significant progress towards building foundational video diffusion models. As these models are trained using large-scale unsupervised data, it has become crucial to adapt these models to ...
Abstract: Stochastic gradient descent (SGD) and its many variants are widely used algorithms for training deep neural networks (DNN). However, SGD has some unavoidable drawbacks, including vanishing ...
Abstract: Deep networks notoriously suffer from performance deterioration on previous tasks when learning from sequential tasks, i.e., catastrophic forgetting. Recent methods of gradient projection ...
Most existing point cloud upsampling methods have roughly three steps: feature extraction, feature expansion and 3D coordinate prediction. However, they usually suffer from two critical issues: (1) ...
All celestial bodies—planets, suns, even entire galaxies—produce magnetic fields, affecting such cosmic processes as the solar wind, high-energy particle transport, and galaxy formation. Small-scale ...
Twenty years after its introduction, the jQuery team has released version 4.0.0. The first major release in almost 10 years brings significant improvements, modernizations, and breaking changes. Many ...
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