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Paper Summary: Visualizing and Understanding Convolutional NetworksZeiler, Matthew D., and Rob Fergus. Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6–12, 2014…Jun 5Jun 5
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Paper Summary: DeepSDF: Learning Continuous Signed Distance Functions for Shape RepresentationPark, Jeong Joon, et al. Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2019.Jul 27, 2023Jul 27, 2023
Paper Summary: DeCAF: A Deep Convolutional Activation Feature for Generic Visual RecognitionDonahue, Jeff, et al. International conference on machine learning. PMLR, 2014.Jun 26, 2023Jun 26, 2023
Paper Summary: Dropout: A Simple Way to Prevent Neural Networks from OverfittingSrivastava, Nitish, et al. The Journal of Machine Learning Research (2014)May 30, 2023May 30, 2023
Paper Summary: Maxout NetworksGoodfellow, Ian, et al. “Maxout networks.” International conference on machine learning. PMLR, 2013.Jan 12, 20231Jan 12, 20231
Paper Summary: Adam: A Method for Stochastic OptimizationKingma, Diederik P., and Jimmy Ba. arXiv preprint arXiv:1412.6980 (2014)Aug 4, 2022Aug 4, 2022
Paper Summary: On the importance of initialization and momentum in deep learningSutskever, Ilya, et al. International conference on machine learning. PMLR, 2013Jul 28, 2022Jul 28, 2022
Paper Summary: Understanding the difficulty of training deep feedforward neural networksGlorot, Xavier, and Yoshua Bengio. JMLR Workshop and Conference Proceedings, 2010Jul 19, 2022Jul 19, 2022
