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Machine Learning for Information Retrieval

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Machine Learning for Information Retrieval

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Breaking the Curse of Dimensionality in Deep Neural Networks by Learning Invariant Representations

Deep Learning Generalization with Limited and Noisy Labels

Estimating and Improving the Robustness of Attributions in Text

Self-Supervised Bayesian representation learning of acoustic emissions from laser powder bed Fusion process for in-situ monitoring

Interpretable Representation Learning and Evaluation for Abstractive Summarization

Towards Robust Monitoring of the Laser Powder Bed Fusion Process based on Acoustic Emission combined with Machine Learning Solutions

Robust Outlier Rejection for 3D Registration with Variational Bayes

Machine Learning Methods for Robust Uncertainty Quantification and Controller Approximation

Optimizing in-situ monitoring for laser powder bed fusion process: Deciphering acoustic emission and sensor sensitivity with explainable machine learning

Learnable Wavelet Transform and Domain Adversarial Learning for Enhanced Bearing Fault Diagnosis