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Deep Learning is a state-of-the-art technique to make inference on extensive or complex data.
Mycin: A knowledge-based computer program applied to infectious diseases
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Interpretable explanations of black boxes by meaningful perturbation
Fong, R.C.; Vedaldi, A · 2017
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Learning to generate reviews and discovering sentiment
Radford, A.; Jozefowicz, R.; Sutskever, I · 2017
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Opening the black box of deep neural networks via information
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Lundberg, S.M.; Lee, S.I · 2017
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Bau, D.; Zhou, B.; Khosla, A.; Oliva, A.; Torralba, A · 2017
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Adversarial attacks on face detectors using neural net based constrained optimization
Bose, A.J.; Aarabi, P · 2018
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Eykholt, K.; Evtimov, I.; Fernandes, E.; Li, B.; Rahmati, A.; Xiao, C.; Prakash, A.; Kohno, T.; Song, D · 2018
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Goebel, R.; Chander, A.; Holzinger, K.; Lecue, F.; Akata, Z.; Stumpf, S.; Kieseberg, P.; Holzinger, A · 2018
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Gilpin, L.H.; Bau, D.; Yuan, B.Z.; Bajwa, A.; Specter, M.; Kagal, L · 2018
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Top-down neural attention by excitation backprop
Zhang, J.; Bargal, S.A.; Lin, Z.; Brandt, J.; Shen, X.; Sclaroff, S · 2018
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Huk Park, D.; Anne Hendricks, L.; Akata, Z.; Rohrbach, A.; Schiele, B.; Darrell, T.; Rohrbach, M · 2018
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Narayanan, M.; Chen, E.; He, J.; Kim, B.; Gershman, S.; Doshi-Velez, F · 2018
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Hooker, S.; Erhan, D.; Kindermans, P.J.; Kim, B · 2018
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Attacking Optical Flow
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