Deep Learning
New computational algorithms make it possible to build neural networks with many input nodes and many layers, and distinguish "deep learning" of these networks from previous work on artificial neural nets.
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Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.93)
Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing
Neural Information Processing Systems
Considering the high cost of collecting large-scale transcriptions, learning rich speech representations via SSL has become crucial and promising for empowering low-resource ASR.
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- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.94)
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Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations
Neural Information Processing Systems
Empirical experiments are conducted to validate our theoretical analysis.
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Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.48)
Decoupling the Depth and Scope of Graph Neural Networks
Neural Information Processing Systems
State-of-the-art Graph Neural Networks (GNNs) have limited scalability with respect to the graph and model sizes.
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Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.68)
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