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Visualizing and Understanding Nonnegativity Constrained Sparse Autoencoder in Deep Learning.

, , and . ICAISC (1), volume 9692 of Lecture Notes in Computer Science, page 3-14. Springer, (2016)

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Nonnegative Matrix Factorization and Its Application to Pattern Analysis and Text Mining., , , and . FedCSIS, page 11-16. (2013)Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation., , , and . ICLR (Poster), OpenReview.net, (2019)Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models., , , and . EACL, page 1754-1761. Association for Computational Linguistics, (2021)Lung segmentation based on Nonnegative Matrix Factorization., , and . ICIP, page 877-881. IEEE, (2014)Alzheimer's disease diagnostics by adaptation of 3D convolutional network., , and . ICIP, page 126-130. IEEE, (2016)A Simple Language Model for Task-Oriented Dialogue., , , , and . NeurIPS, (2020)Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems., , , , , and . ACL (1), page 808-819. Association for Computational Linguistics, (2019)Computer-aided diagnostic tool for early detection of prostate cancer., , , , , , , , , and . ICIP, page 2668-2672. IEEE, (2016)Visualizing and Understanding Nonnegativity Constrained Sparse Autoencoder in Deep Learning., , and . ICAISC (1), volume 9692 of Lecture Notes in Computer Science, page 3-14. Springer, (2016)Alzheimer's Disease Diagnostics by a Deeply Supervised Adaptable 3D Convolutional Network., , and . CoRR, (2016)