+ YY ’ Z X-Residual Prediction Error TargetPredictionObservation Latent 0 State φ f 1 f 2
暂无分享,去创建一个
[1] David Lopez-Paz,et al. Optimizing the Latent Space of Generative Networks , 2017, ICML.
[2] Seunghoon Hong,et al. Decomposing Motion and Content for Natural Video Sequence Prediction , 2017, ICLR.
[3] Vighnesh Birodkar,et al. Unsupervised Learning of Disentangled Representations from Video , 2017, NIPS.
[4] Bernhard Schölkopf,et al. AdaGAN: Boosting Generative Models , 2017, NIPS.
[5] Alexei A. Efros,et al. Image-to-Image Translation with Conditional Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[6] David Pfau,et al. Unrolled Generative Adversarial Networks , 2016, ICLR.
[7] Gabriel Kreiman,et al. Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning , 2016, ICLR.
[8] Jitendra Malik,et al. Learning to Poke by Poking: Experiential Learning of Intuitive Physics , 2016, NIPS.
[9] Wojciech Zaremba,et al. Improved Techniques for Training GANs , 2016, NIPS.
[10] Sergey Levine,et al. Unsupervised Learning for Physical Interaction through Video Prediction , 2016, NIPS.
[11] Kyunghyun Cho,et al. Query-Efficient Imitation Learning for End-to-End Autonomous Driving , 2016, ArXiv.
[12] Alex Graves,et al. Asynchronous Methods for Deep Reinforcement Learning , 2016, ICML.
[13] Soumith Chintala,et al. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks , 2015, ICLR.
[14] Yann LeCun,et al. Deep multi-scale video prediction beyond mean square error , 2015, ICLR.
[15] Honglak Lee,et al. Action-Conditional Video Prediction using Deep Networks in Atari Games , 2015, NIPS.
[16] Yann LeCun,et al. Learning to Linearize Under Uncertainty , 2015, NIPS.
[17] Antonio Torralba,et al. Anticipating the future by watching unlabeled video , 2015, ArXiv.
[18] Nitish Srivastava,et al. Unsupervised Learning of Video Representations using LSTMs , 2015, ICML.
[19] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[20] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[21] Marc G. Bellemare,et al. The Arcade Learning Environment: An Evaluation Platform for General Agents (Extended Abstract) , 2012, IJCAI.
[22] Yann LeCun,et al. Learning Fast Approximations of Sparse Coding , 2010, ICML.
[23] Michael W. Spratling. Predictive coding as a model of biased competition in visual attention , 2008, Vision Research.
[24] Rajesh P. N. Rao,et al. Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects. , 1999 .
[25] Jürgen Schmidhuber,et al. Learning Complex, Extended Sequences Using the Principle of History Compression , 1992, Neural Computation.
[26] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .