Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning
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[1] Misha Denil,et al. Learning to Learn without Gradient Descent by Gradient Descent , 2016, ICML.
[2] Alex Graves,et al. Automated Curriculum Learning for Neural Networks , 2017, ICML.
[3] Abhinav Gupta,et al. Unsupervised Learning of Visual Representations Using Videos , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[4] Björn Ommer,et al. Deep Unsupervised Similarity Learning Using Partially Ordered Sets , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[6] Mubarak Shah,et al. UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild , 2012, ArXiv.
[7] Martial Hebert,et al. Unsupervised Learning using Sequential Verification for Action Recognition , 2016, ArXiv.
[8] Paolo Favaro,et al. Boosting Self-Supervised Learning via Knowledge Transfer , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[9] Abhinav Gupta,et al. Transitive Invariance for Self-Supervised Visual Representation Learning , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[10] Trevor Darrell,et al. Learning Features by Watching Objects Move , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Trevor Darrell,et al. Data-dependent Initializations of Convolutional Neural Networks , 2015, ICLR.
[12] Paolo Favaro,et al. Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles , 2016, ECCV.
[13] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[14] Jianguo Zhang,et al. The PASCAL Visual Object Classes Challenge , 2006 .
[15] Efstratios Gavves,et al. Self-Supervised Video Representation Learning with Odd-One-Out Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Nikos Komodakis,et al. Unsupervised Representation Learning by Predicting Image Rotations , 2018, ICLR.
[17] Anoop Cherian,et al. DeepPermNet: Visual Permutation Learning , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[18] C. V. Jawahar,et al. Self-Supervised Learning of Visual Features through Embedding Images into Text Topic Spaces , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Li Fei-Fei,et al. Unsupervised Learning of Long-Term Motion Dynamics for Videos , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[20] Luc Van Gool,et al. Temporal Segment Networks: Towards Good Practices for Deep Action Recognition , 2016, ECCV.
[21] Hugo Larochelle,et al. Optimization as a Model for Few-Shot Learning , 2016, ICLR.
[22] Armand Joulin,et al. Unsupervised Learning by Predicting Noise , 2017, ICML.
[23] Horst Possegger,et al. BIER — Boosting Independent Embeddings Robustly , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[24] Andrew Zisserman,et al. Multi-task Self-Supervised Visual Learning , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[25] Thomas Serre,et al. HMDB: A large video database for human motion recognition , 2011, 2011 International Conference on Computer Vision.
[26] Jason Weston,et al. Curriculum learning , 2009, ICML '09.
[27] Tao Qin,et al. Neural Data Filter for Bootstrapping Stochastic Gradient Descent , 2017 .
[28] Gregory Shakhnarovich,et al. Colorization as a Proxy Task for Visual Understanding , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[30] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[31] Andrew Zisserman,et al. Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps , 2013, ICLR.
[32] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[33] Trevor Darrell,et al. Caffe: Convolutional Architecture for Fast Feature Embedding , 2014, ACM Multimedia.
[34] Björn Ommer,et al. Self-Supervised Learning of Pose Embeddings from Spatiotemporal Relations in Videos , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[35] Marcin Andrychowicz,et al. Learning to learn by gradient descent by gradient descent , 2016, NIPS.
[36] Andrew McCallum,et al. Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples , 2017, NIPS.
[37] Alexei A. Efros,et al. Colorful Image Colorization , 2016, ECCV.
[38] Björn Ommer,et al. Deep unsupervised learning of visual similarities , 2018, Pattern Recognit..
[39] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[40] Ming-Hsuan Yang,et al. Unsupervised Representation Learning by Sorting Sequences , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[41] Andrew Owens,et al. Ambient Sound Provides Supervision for Visual Learning , 2016, ECCV.
[42] Alexei A. Efros,et al. Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[43] Alexei A. Efros,et al. Context Encoders: Feature Learning by Inpainting , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[44] Bolei Zhou,et al. Object Detectors Emerge in Deep Scene CNNs , 2014, ICLR.
[45] Tao Qin,et al. Learning to Teach , 2018, ICLR.
[46] Björn Ommer,et al. Unsupervised Video Understanding by Reconciliation of Posture Similarities , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[47] Luc Van Gool,et al. The 2005 PASCAL Visual Object Classes Challenge , 2005, MLCW.
[48] Alexei A. Efros,et al. Unsupervised Visual Representation Learning by Context Prediction , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[49] Paolo Favaro,et al. Representation Learning by Learning to Count , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[50] Demis Hassabis,et al. Mastering the game of Go with deep neural networks and tree search , 2016, Nature.
[51] Jing Peng,et al. Function Optimization using Connectionist Reinforcement Learning Algorithms , 1991 .
[52] Björn Ommer,et al. LSTM Self-Supervision for Detailed Behavior Analysis , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[53] Trevor Darrell,et al. Adversarial Feature Learning , 2016, ICLR.
[54] Antonio Torralba,et al. Generating Videos with Scene Dynamics , 2016, NIPS.
[55] Quoc V. Le,et al. Neural Architecture Search with Reinforcement Learning , 2016, ICLR.
[56] Shane Legg,et al. Human-level control through deep reinforcement learning , 2015, Nature.
[57] Daphne Koller,et al. Self-Paced Learning for Latent Variable Models , 2010, NIPS.