Title
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On Calibration of Modern Neural NetworksInternational Conference on Machine Learning (ICML), 2017 Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 1.3K 6,776 0 14 Jun 2017
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Incremental Learning Through Deep Adaptation Amir Rosenfeld John K. Tsotsos CLL 256 300 0 11 May 2017
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks Minsoo Rhu Mike O'Connor Niladrish Chatterjee Jeff Pool S. Keckler 207 187 0 03 May 2017
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Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks Weilin Xu David Evans Yanjun Qi AAML 208 1,487 0 04 Apr 2017
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Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale F. Iandola 3DV 107 19 0 20 Dec 2016
Gated Recurrent Unit (GRU) for Emotion Classification from Noisy Speech R. Rana 78 119 0 13 Dec 2016
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Deep Symbolic Representation Learning for Heterogeneous Time-series Classification S. Zhang S. Bahrampour Naveen Ramakrishnan Mohak Shah AI4TS 210 1 0 05 Dec 2016
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Deep Recurrent Convolutional Neural Network: Improving Performance For Speech Recognition Zewang Zhang Zheng Sun Jiaqi Liu Jingwen Chen Zhao Huo Xiao Zhang 140 13 0 22 Nov 2016
Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks L. Hou Chen-Ping Yu Dimitris Samaras 216 160 0 17 Nov 2016
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SoundNet: Learning Sound Representations from Unlabeled Video Y. Aytar Carl Vondrick Antonio Torralba SSL 309 1,084 0 27 Oct 2016
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