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Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization for Heterogeneous Representational Coarseness., , , , , , and . AAAI, page 8825-8833. AAAI Press, (2023)Analysis of Sensing Spectral for Signal Recovery under a Generalized Linear Model., , and . NeurIPS, page 22601-22613. (2021)Strategies for using MLP based features with limited target-language training data., , , and . ASRU, page 354-358. IEEE, (2011)IbLT: An effective granular computing framework for hierarchical community detection., , , and . J. Intell. Inf. Syst., 58 (1): 175-196 (2022)Predicting Unreliable Predictions by Shattering a Neural Network., , , , , and . CoRR, (2021)Multilingual Speech Recognition Training and Adaptation with Language-Specific Gate Units., , , and . ISCSLP, page 86-90. IEEE, (2018)Spectral Method for Phase Retrieval: an Expectation Propagation Perspective., , , , and . CoRR, (2019)When does preconditioning help or hurt generalization?, , , , , , , and . ICLR, OpenReview.net, (2021)On the proliferation of support vectors in high dimensions., , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 91-99. PMLR, (2021)How Does Information Bottleneck Help Deep Learning?, , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 16049-16096. PMLR, (2023)