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[1] Nikos Komodakis,et al. Wide Residual Networks , 2016, BMVC.
[2] Richard S. Sutton,et al. Learning to predict by the methods of temporal differences , 1988, Machine Learning.
[3] Alex Krizhevsky,et al. Learning Multiple Layers of Features from Tiny Images , 2009 .
[4] Jonas Kubilius,et al. Evidence that recurrent circuits are critical to the ventral stream’s execution of core object recognition behavior , 2019, Nature Neuroscience.
[5] Andrew Y. Ng,et al. Reading Digits in Natural Images with Unsupervised Feature Learning , 2011 .
[6] Andrew Zisserman,et al. Massively Parallel Video Networks , 2018, ECCV.
[7] Kunihiko Fukushima,et al. Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position , 1980, Biological Cybernetics.
[8] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[9] Thomas L. Griffiths,et al. Human Uncertainty Makes Classification More Robust , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[10] Nikolaus Kriegeskorte,et al. Deep neural networks: a new framework for modelling biological vision and brain information processing , 2015, bioRxiv.
[11] Yoram Singer,et al. Convolutional Bipartite Attractor Networks , 2019, ArXiv.
[12] Debadeepta Dey,et al. Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing , 2017, AAAI.
[13] M. Masson. Using confidence intervals for graphically based data interpretation. , 2003, Canadian journal of experimental psychology = Revue canadienne de psychologie experimentale.
[14] Jonathon S. Hare,et al. Deep Cascade Learning , 2018, IEEE Transactions on Neural Networks and Learning Systems.
[15] Yoshua Bengio,et al. On the Properties of Neural Machine Translation: Encoder–Decoder Approaches , 2014, SSST@EMNLP.
[16] Alexander Maier,et al. Serial versus parallel processing in mid-level vision: filling-in the details of spatial interpolation , 2015, Neuroscience of consciousness.
[17] Kilian Q. Weinberger,et al. Densely Connected Convolutional Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[18] Jan Köhler,et al. The streaming rollout of deep networks - towards fully model-parallel execution , 2018, NeurIPS.
[19] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[20] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[21] Grace W. Lindsay. Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future , 2020, Journal of Cognitive Neuroscience.
[22] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[23] D. J. Felleman,et al. Distributed hierarchical processing in the primate cerebral cortex. , 1991, Cerebral cortex.
[24] Nikolaus Kriegeskorte,et al. Recurrent Convolutional Neural Networks: A Better Model of Biological Object Recognition , 2017, bioRxiv.
[25] Georgios Tzimiropoulos,et al. How Far are We from Solving the 2D & 3D Face Alignment Problem? (and a Dataset of 230,000 3D Facial Landmarks) , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[26] A V Herz,et al. Neural codes: firing rates and beyond. , 1997, Proceedings of the National Academy of Sciences of the United States of America.
[27] Ziheng Jiang,et al. Characterizing Structural Regularities of Labeled Data in Overparameterized Models , 2020, ICML.
[28] Kwang-Cheng Chen,et al. Information cascades in social networks via dynamic system analyses , 2015, 2015 IEEE International Conference on Communications (ICC).
[29] James L. McClelland. On the time relations of mental processes: An examination of systems of processes in cascade. , 1979 .
[30] Yinda Zhang,et al. LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop , 2015, ArXiv.
[31] Tudor Dumitras,et al. Shallow-Deep Networks: Understanding and Mitigating Network Overthinking , 2018, ICML.
[32] James J. DiCarlo,et al. Evidence that recurrent circuits are critical to the ventral stream’s execution of core object recognition behavior , 2018, Nature Neuroscience.
[33] A. Banerjee,et al. A Simple Model of Herd Behavior , 1992 .
[34] Jürgen Schmidhuber,et al. Highway Networks , 2015, ArXiv.
[35] R. Srikant,et al. Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks , 2017, ICLR.
[36] Jia Deng,et al. Stacked Hourglass Networks for Human Pose Estimation , 2016, ECCV.