暂无分享,去创建一个
[1] Tao Li,et al. The Relationships Among Various Nonnegative Matrix Factorization Methods for Clustering , 2006, Sixth International Conference on Data Mining (ICDM'06).
[2] Xueyan Jiang,et al. Metrics for Deep Generative Models , 2017, AISTATS.
[3] Raja Giryes,et al. Improving DNN Robustness to Adversarial Attacks using Jacobian Regularization , 2018, ECCV.
[4] Max Welling,et al. VAE with a VampPrior , 2017, AISTATS.
[5] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[6] Yu Liu,et al. POI: Multiple Object Tracking with High Performance Detection and Appearance Feature , 2016, ECCV Workshops.
[7] Pascal Vincent,et al. Higher Order Contractive Auto-Encoder , 2011, ECML/PKDD.
[8] Justin Bayer,et al. Fast Approximate Geodesics for Deep Generative Models , 2018, ICANN.
[9] David J. Fleet,et al. This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE Gaussian Process Dynamical Model , 2007 .
[10] Pierre Vandergheynst,et al. Geometric Deep Learning: Going beyond Euclidean data , 2016, IEEE Signal Process. Mag..
[11] Christopher Burgess,et al. beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework , 2016, ICLR 2016.
[12] Ole Winther,et al. Ladder Variational Autoencoders , 2016, NIPS.
[13] Asahi Ushio,et al. Latent Space Cartography: Generalised Metric-Inspired Measures and Measure-Based Transformations for Generative Models , 2019, ArXiv.
[14] N. Altman. An Introduction to Kernel and Nearest-Neighbor Nonparametric Regression , 1992 .
[15] Alexander A. Alemi,et al. Fixing a Broken ELBO , 2017, ICML.
[16] Dietrich Paulus,et al. Simple online and realtime tracking with a deep association metric , 2017, 2017 IEEE International Conference on Image Processing (ICIP).
[17] Justin Bayer,et al. Efficient movement representation by embedding Dynamic Movement Primitives in deep autoencoders , 2015, 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids).
[18] Serge J. Belongie,et al. Bayesian representation learning with oracle constraints , 2015, ICLR 2016.
[19] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[20] Neil D. Lawrence,et al. Metrics for Probabilistic Geometries , 2014, UAI.
[21] Pascal Vincent,et al. The Manifold Tangent Classifier , 2011, NIPS.
[22] Ankit B. Patel,et al. Towards a Better Understanding and Regularization of GAN Training Dynamics , 2018, UAI.
[23] Nir Ailon,et al. Deep Metric Learning Using Triplet Network , 2014, SIMBAD.
[24] Daan Wierstra,et al. Stochastic Backpropagation and Approximate Inference in Deep Generative Models , 2014, ICML.
[25] David J. Fleet,et al. Erratum: "Gaussian process dynamical models for human motion" (IEEE Transactions on Pattern analysis and Machine Intelligenc (292)) , 2008 .
[26] Ruslan Salakhutdinov,et al. Importance Weighted Autoencoders , 2015, ICLR.
[27] Patrick van der Smagt,et al. Learning Hierarchical Priors in VAEs , 2019, NeurIPS.
[28] Michael I. Jordan,et al. Distance Metric Learning with Application to Clustering with Side-Information , 2002, NIPS.
[29] Ioannis Mitliagkas,et al. Manifold Mixup: Better Representations by Interpolating Hidden States , 2018, ICML.
[30] Geoffrey E. Hinton,et al. Neighbourhood Components Analysis , 2004, NIPS.
[31] R Devon Hjelm,et al. On Adversarial Mixup Resynthesis , 2019, NeurIPS.
[32] Francesco Solera,et al. Performance Measures and a Data Set for Multi-target, Multi-camera Tracking , 2016, ECCV Workshops.
[33] Stefan Roth,et al. MOT16: A Benchmark for Multi-Object Tracking , 2016, ArXiv.
[34] Ieee Xplore,et al. IEEE Transactions on Pattern Analysis and Machine Intelligence Information for Authors , 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[35] Frank Nielsen,et al. GLSR-VAE: Geodesic latent space regularization for variational autoencoder architectures , 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).
[36] Max Welling,et al. Improved Variational Inference with Inverse Autoregressive Flow , 2016, NIPS 2016.
[37] Hugo Larochelle,et al. The Neural Autoregressive Distribution Estimator , 2011, AISTATS.
[38] Bernhard Schölkopf,et al. Kernel Principal Component Analysis , 1997, ICANN.
[39] Lars Kai Hansen,et al. Latent Space Oddity: on the Curvature of Deep Generative Models , 2017, ICLR.
[40] Christopher K. I. Williams,et al. Magnification factors for the SOM and GTM algorithms , 1997 .
[41] Lorenzo Livi,et al. Learning Graph Embeddings on Constant-Curvature Manifolds for Change Detection in Graph Streams , 2018, ArXiv.
[42] Yee Whye Teh,et al. Hierarchical Representations with Poincaré Variational Auto-Encoders , 2019, ArXiv.
[43] John M. Lee. Riemannian Manifolds: An Introduction to Curvature , 1997 .
[44] Samy Bengio,et al. Generating Sentences from a Continuous Space , 2015, CoNLL.
[45] Lorenzo Livi,et al. Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds , 2018, IEEE Transactions on Neural Networks and Learning Systems.
[46] Alex Bewley,et al. Deep Cosine Metric Learning for Person Re-identification , 2018, 2018 IEEE Winter Conference on Applications of Computer Vision (WACV).
[47] Maximilian Karl,et al. Dynamic movement primitives in latent space of time-dependent variational autoencoders , 2016, 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids).
[48] Patrick van der Smagt,et al. Active Learning based on Data Uncertainty and Model Sensitivity , 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[49] Hongyi Zhang,et al. mixup: Beyond Empirical Risk Minimization , 2017, ICLR.
[50] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[51] Fabio Tozeto Ramos,et al. Simple online and realtime tracking , 2016, 2016 IEEE International Conference on Image Processing (ICIP).
[52] Kilian Q. Weinberger,et al. Distance Metric Learning for Large Margin Nearest Neighbor Classification , 2005, NIPS.