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Deep learning

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Deep learning

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Prognostic impact of deep learning-based quantification in clinical stage 0-I lung adenocarcinoma

BLACK-BOX ATTACKS ON IMAGE ACTIVITY PREDICTION AND ITS NATURAL LANGUAGE EXPLANATIONS

Distributed Optimization with Byzantine Robustness Guarantees

Estimating and Improving the Robustness of Attributions in Text

Robust direct acoustic impedance control using two microphones for mixed feedforward-feedback controller

On the Privacy-Robustness-Utility Trilemma in Distributed Learning

Reinforcement bond performance in 3D concrete printing: Explainable ensemble learning augmented by deep generative adversarial networks

The JPEG AI Standard: Providing Efficient Human and Machine Visual Data Consumption

Stereo Confidence Estimation via Locally Adaptive Fusion and Knowledge Distillation

Communication-efficient distributed training of machine learning models