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🏢 Telecom Paris

Continuous Product Graph Neural Networks
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AI Applications Smart Cities 🏢 Telecom Paris
CITRUS: a novel continuous graph neural network efficiently processes multidomain data on multiple graphs, achieving superior performance in spatiotemporal forecasting.
Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing
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Speech and Audio Speaker Recognition 🏢 Telecom Paris
Annealed Multiple Choice Learning (aMCL) overcomes limitations of Winner-takes-all in multiple choice learning by using annealing, improving robustness and performance.
Activation Map Compression through Tensor Decomposition for Deep Learning
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Machine Learning Deep Learning 🏢 Telecom Paris
Slash deep learning’s memory footprint! This paper introduces a novel activation map compression technique via tensor decomposition, significantly boosting on-device training efficiency for edge AI.