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We propose a novel regularization algorithm to train deep neural networks, in which data at training time is severely biased.
MNIST handwritten digit database
Yann LeCun and Corinna Cortes · 2010
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Dogs vs. cats, 2013
Kaggle · 2013
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Age and gender estimation of unfiltered faces
E. Eidinger, R. Enbar, and T. Hassner · 2014
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Beat the machine: Challenging humans to find a predictive model’s “unknown unknowns”
Joshua Attenberg, Panos Ipeirotis, and Foster Provost · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy · 2015
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Age and gender classification using convolutional neural networks
G. Levi and T. Hassncer · 2015
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Dex: Deep expectation of apparent age from a single image
Rasmus Rothe, Radu Timofte, and Luc Van Gool · 2015
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ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg, and Li Fei-Fei · 2015
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Simultaneous deep transfer across domains and tasks
Eric Tzeng, Judy Hoffman, Trevor Darrell, and Kate Saenko · 2015
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Rotating your face using multi-task deep neural network
Junho Yim, Heechul Jung, ByungIn Yoo, Changkyu Choi, Dusik Park, and Junmo Kim · 2015
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Infogan: Interpretable representation learning by information maximizing generative adversarial nets
Xi Chen, Yan Duan, Rein Houthooft, John Schulman, Ilya Sutskever, and Pieter Abbeel · 2016
Reconstruction for feature disentanglement in pose-invariant face recognition
Xi Peng, Xiang Yu, Kihyuk Sohn, Dimitris N. Metaxas, and Manmohan Chandraker · 2017
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Cognitive psychology for deep neural networks: A shape bias case study
Samuel Ritter, David GT Barrett, Adam Santoro, and Matt M Botvinick · 2017
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Disentangled representation learning gan for pose-invariant face recognition
Luan Tran, Xi Yin, and Xiaoming Liu · 2017
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Turning a blind eye: Explicit removal of biases and variation from deep neural network embeddings
Mohsan Alvi, Andrew Zisserman, and Christoffer Nellaker · 2018
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Women also snowboard: Overcoming bias in captioning models
Lisa Anne Hendricks, Kaylee Burns, Kate Saenko, Trevor Darrell, and Anna Rohrbach · 2018
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Domain-adversarial training of neural networks
Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, and Victor Lempitsky · 2016
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Discovering blind spots of predictive models: Representations and policies for guided exploration
Himabindu Lakkaraju, Ece Kamar, Rich Caruana, and Eric Horvitz · 2016
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Learning transferrable representations for unsupervised domain adaptation
Ozan Sener, Hyun Oh Song, Ashutosh Saxena, and Silvio Savarese · 2016
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A coverage-based utility model for identifying unknown unknowns
Gagan Bansal and Daniel S Weld · 2018
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Pairwise confusion for fine-grained visual classification
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Multi-task adversarial network for disentangled feature learning
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