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F-CNN: An FPGA-based framework for training Convolutional Neural Networks.

, , , , , , , and . ASAP, page 107-114. IEEE Computer Society, (2016)

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Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields., , , , and . ICML, volume 119 of ACM International Conference Proceeding Series, page 948-955. ACM, (2005)Statistical Recursive Estimation Algorithms for Speaker Adaption. University of Illinois Urbana-Champaign, USA, (2001)Learning Continuous Latent Variable Models with Bregman Divergences., and . ALT, volume 2842 of Lecture Notes in Computer Science, page 190-204. Springer, (2003)A Novel Approach to Lighten the Onboard Hyperspectral Anomaly Detector., , , and . WISATS (2), volume 281 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 432-445. Springer, (2019)Segmenting Brain Tumors Using Pseudo-Conditional Random Fields., , , , and . MICCAI (1), volume 5241 of Lecture Notes in Computer Science, page 359-366. Springer, (2008)Slim Embedding Layers for Recurrent Neural Language Models., , , , and . AAAI, page 5220-5228. AAAI Press, (2018)Measurement Error Compensation Using Data Fusion Technique for Laser Scanner on AACMMs., , and . ICIRA (2), volume 6425 of Lecture Notes in Computer Science, page 576-586. Springer, (2010)Learning to Adapt to Low-Resource Paraphrase Generation., , , , , and . EMNLP, page 1014-1022. Association for Computational Linguistics, (2022)Enhancing Dual-Encoders with Question and Answer Cross-Embeddings for Answer Retrieval., , , , , , , and . EMNLP (Findings), page 2306-2315. Association for Computational Linguistics, (2021)A Direct Boosting Approach for Semi-supervised Classification., , , and . IJCAI, page 4025-4032. AAAI Press, (2015)