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RNNbow: Visualizing Learning Via Backpropagation Gradients in RNNs.

, , , , , and . IEEE Computer Graphics and Applications, 38 (6): 39-50 (2018)

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DeepMiner: Discovering Interpretable Representations for Mammogram Classification and Explanation., , , , , , and . CoRR, (2018)SUN attribute database: Discovering, annotating, and recognizing scene attributes., and . CVPR, page 2751-2758. IEEE Computer Society, (2012)RNNbow: Visualizing Learning Via Backpropagation Gradients in RNNs., , , , , and . IEEE Computer Graphics and Applications, 38 (6): 39-50 (2018)Expert identification of visual primitives used by CNNs during mammogram classification., , , , , , , , and . CoRR, (2018)Crowd-Guided Ensembles: How Can We Choreograph Crowd Workers for Video Segmentation?, , , , , and . CHI, page 111. ACM, (2018)COCO Attributes: Attributes for People, Animals, and Objects., and . ECCV (6), volume 9910 of Lecture Notes in Computer Science, page 85-100. Springer, (2016)The SUN Attribute Database: Beyond Categories for Deeper Scene Understanding., , , and . International Journal of Computer Vision, 108 (1-2): 59-81 (2014)Humor in Word Embeddings: Cockamamie Gobbledegook for Nincompoops., , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 2474-2483. PMLR, (2019)Tropel: Crowdsourcing Detectors with Minimal Training., , , , and . HCOMP, page 150-159. AAAI Press, (2015)RNNbow: Visualizing Learning via Backpropagation Gradients in Recurrent Neural Networks., , , , , and . CoRR, (2019)