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20022026
most citedOpenFL: An open-source framework for Federated Learning

132 citations

Showing 2019Show all

7 papers · 1 filter

cs.CV2019★ 2 cited

Multi-level Attention network using text, audio and video for Depression Prediction

Anupama Ray, Siddharth Kumar, Rutvik Reddy +2

Depression has been the leading cause of mental-health illness worldwide. Major depressive disorder (MDD), is a common mental health disorder that affects both psychologically as w…

cs.MS2019★ 3 cited

Softmax Optimizations for Intel Xeon Processor-based Platforms

Jacek Czaja, Michal Gallus, Tomasz Patejko +1

Softmax is popular normalization method used in machine learning. Deep learning solutions like Transformer or BERT use the softmax function intensively, so it is worthwhile to opti…

cs.DC2019★ 24 cited

Deploying AI Frameworks on Secure HPC Systems with Containers

David Brayford, Sofia Vallecorsa, Atanas Atanasov +2

The increasing interest in the usage of Artificial Intelligence techniques (AI) from the research community and industry to tackle "real world" problems, requires High Performance…

cs.CV2019★ 7 cited

Non-Parametric Priors For Generative Adversarial Networks

Rajhans Singh, Pavan Turaga, Suren Jayasuriya +2

The advent of generative adversarial networks (GAN) has enabled new capabilities in synthesis, interpolation, and data augmentation heretofore considered very challenging. However,…

cs.CV2019★ 7 cited

FeatherNets: Convolutional Neural Networks as Light as Feather for Face Anti-spoofing

Peng Zhang, Fuhao Zou, Zhiwen Wu +5

Face Anti-spoofing gains increased attentions recently in both academic and industrial fields. With the emergence of various CNN based solutions, the multi-modal(RGB, depth and IR)…

cs.DC2019★ 2 cited

Single Machine Graph Analytics on Massive Datasets Using Intel Optane DC Persistent Memory

Gurbinder Gill, Roshan Dathathri, Loc Hoang +2

Intel Optane DC Persistent Memory (Optane PMM) is a new kind of byte-addressable memory with higher density and lower cost than DRAM. This enables the design of affordable systems…