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Found 5 papers, 0 papers with code
MOMA:Distill from Self-Supervised Teachers
In this work, we propose MOMA to distill from pre-trained MoCo and MAE in a self-supervised manner to collaborate the knowledge from both paradigms.
Masked Contrastive Representation Learning
This work presents Masked Contrastive Representation Learning (MACRL) for self-supervised visual pre-training.
A Distributed Deep Reinforcement Learning Technique for Application Placement in Edge and Fog Computing Environments
Fog/Edge computing is a novel computing paradigm supporting resource-constrained Internet of Things (IoT) devices by the placement of their tasks on the edge and/or cloud servers.
A Scalable Framework for Trajectory Prediction
To address these limitations, we propose a scalable clustering and Markov chain based hybrid framework, called Traj-clusiVAT-based TP, for both short-term and long-term trajectory prediction, which can handle a large number of overlapping trajectories in a dense road network.
Fuzzy c-Shape: A new algorithm for clustering finite time series waveforms
The two new algorithms are heuristic derivatives of fuzzy c-means (FCM).
