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Advancing Neural Network Optimization and Design Through the Lens of Continuation Methods and Iterative Dynamical Systems
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Oracle Embeddings for Chemical Data Generation
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Iterative Models for Machine Learning in the Physical Sciences
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FSL-LFMG: Few-shot Learning with Augmented Latent Features and Multitasking Generation for Enhancing Multiclass Classification on Tabular Data: Existing and New Concepts
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Multi-Task Learning to Screen for Major Depressive Disorder and Post-Traumatic Stress Disorder
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Multi-View Contrastive Learning for Sequential Recommendation
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LOOL: Flexible & Robust Estimator of Heterogeneous Treatment Effects
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The Findings and Developed Tools from the Exploration of Procedural Pathways to Bolster Algebraic Knowledge
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Facilitating Scientific Material Discovery via Deep Learning on Small Image Datasets
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Harnessing Incomplete, Noisy, and Multi-level Labels for Classification and Annotation Tasks
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