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Showing below up to 100 results in range #101 to #200.

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  1. quantifying cancer progression with conjunctive Bayesian networks‏‎ (09:46, 30 August 2017)
  2. incremental Learning, Clustering and Hierarchy Formation of Whole Body Motion Patterns using Adaptive Hidden Markov Chains(Summary)‏‎ (09:46, 30 August 2017)
  3. video-based face recognition using Adaptive HMM‏‎ (09:46, 30 August 2017)
  4. an HDP-HMM for Systems with State Persistence‏‎ (09:46, 30 August 2017)
  5. a Dynamic Bayesian Network Click Model for web search ranking‏‎ (09:46, 30 August 2017)
  6. context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis‏‎ (09:46, 30 August 2017)
  7. stat340s13‏‎ (09:46, 30 August 2017)
  8. stat946s13‏‎ (09:46, 30 August 2017)
  9. maximum likelihood estimation of intrinsic dimension‏‎ (09:46, 30 August 2017)
  10. s13Stat946proposal‏‎ (09:46, 30 August 2017)
  11. inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method‏‎ (09:46, 30 August 2017)
  12. residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models‏‎ (09:46, 30 August 2017)
  13. positive Semidefinite Metric Learning Using Boosting-like Algorithms‏‎ (09:46, 30 August 2017)
  14. hierarchical Dirichlet Processes‏‎ (09:46, 30 August 2017)
  15. kernel Dimension Reduction in Regression‏‎ (09:46, 30 August 2017)
  16. kernelized Locality-Sensitive Hashing‏‎ (09:46, 30 August 2017)
  17. hamming Distance Metric Learning‏‎ (09:46, 30 August 2017)
  18. kernel Spectral Clustering for Community Detection in Complex Networks‏‎ (09:46, 30 August 2017)
  19. adaptive dimension reduction for clustering high dimensional data‏‎ (09:46, 30 August 2017)
  20. parametric Local Metric Learning for Nearest Neighbor Classification‏‎ (09:46, 30 August 2017)
  21. metric and Kernel Learning Using a Linear Transformation‏‎ (09:46, 30 August 2017)
  22. measuring statistical dependence with Hilbert-Schmidt norms‏‎ (09:46, 30 August 2017)
  23. the Indian Buffet Process: An Introduction and Review‏‎ (09:46, 30 August 2017)
  24. large-Scale Supervised Sparse Principal Component Analysis‏‎ (09:46, 30 August 2017)
  25. measuring and testing dependence by correlation of distances‏‎ (09:46, 30 August 2017)
  26. rOBPCA: A New Approach to Robust Principal Component Analysis‏‎ (09:46, 30 August 2017)
  27. cardinality Restricted Boltzmann Machines‏‎ (09:46, 30 August 2017)
  28. nonparametric Latent Feature Models for Link Prediction‏‎ (09:46, 30 August 2017)
  29. stat841f14‏‎ (09:46, 30 August 2017)
  30. sandbox to test w2l‏‎ (09:46, 30 August 2017)
  31. f14Stat842EditorSignUp‏‎ (09:46, 30 August 2017)
  32. proposal for STAT946 (Deep Learning) final projects Fall 2015‏‎ (09:46, 30 August 2017)
  33. stat946f15‏‎ (09:46, 30 August 2017)
  34. graves et al., Speech recognition with deep recurrent neural networks‏‎ (09:46, 30 August 2017)
  35. overfeat: integrated recognition, localization and detection using convolutional networks‏‎ (09:46, 30 August 2017)
  36. goingDeeperWithConvolutions‏‎ (09:46, 30 August 2017)
  37. parsing natural scenes and natural language with recursive neural networks‏‎ (09:46, 30 August 2017)
  38. human-level control through deep reinforcement learning‏‎ (09:46, 30 August 2017)
  39. learning Hierarchical Features for Scene Labeling‏‎ (09:46, 30 August 2017)
  40. dropout‏‎ (09:46, 30 August 2017)
  41. deepGenerativeModels‏‎ (09:46, 30 August 2017)
  42. deep neural networks for acoustic modeling in speech recognition‏‎ (09:46, 30 August 2017)
  43. deep Sparse Rectifier Neural Networks‏‎ (09:46, 30 August 2017)
  44. stat946f15/Deep neural networks for acoustic modeling in speech recognition‏‎ (09:46, 30 August 2017)
  45. neural Turing Machines‏‎ (09:46, 30 August 2017)
  46. learning2reasoning‏‎ (09:46, 30 August 2017)
  47. neural Machine Translation: Jointly Learning to Align and Translate‏‎ (09:46, 30 August 2017)
  48. show, Attend and Tell: Neural Image Caption Generation with Visual Attention‏‎ (09:46, 30 August 2017)
  49. imageNet Classification with Deep Convolutional Neural Networks‏‎ (09:46, 30 August 2017)
  50. natural language processing (almost) from scratch.‏‎ (09:46, 30 August 2017)
  51. from Machine Learning to Machine Reasoning‏‎ (09:46, 30 August 2017)
  52. question Answering with Subgraph Embeddings‏‎ (09:46, 30 August 2017)
  53. memory Networks‏‎ (09:46, 30 August 2017)
  54. joint training of a convolutional network and a graphical model for human pose estimation‏‎ (09:46, 30 August 2017)
  55. genetics‏‎ (09:46, 30 August 2017)
  56. learning Phrase Representations‏‎ (09:46, 30 August 2017)
  57. scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Machines‏‎ (09:46, 30 August 2017)
  58. deep Learning of the tissue-regulated splicing code‏‎ (09:46, 30 August 2017)
  59. deep Convolutional Neural Networks For LVCSR‏‎ (09:46, 30 August 2017)
  60. the Wake-Sleep Algorithm for Unsupervised Neural Networks‏‎ (09:46, 30 August 2017)
  61. very Deep Convoloutional Networks for Large-Scale Image Recognition‏‎ (09:46, 30 August 2017)
  62. extracting and Composing Robust Features with Denoising Autoencoders‏‎ (09:46, 30 August 2017)
  63. deep Generative Stochastic Networks Trainable by Backprop‏‎ (09:46, 30 August 2017)
  64. learning Long-Range Vision for Autonomous Off-Road Driving‏‎ (09:46, 30 August 2017)
  65. continuous space language models‏‎ (09:46, 30 August 2017)
  66. generating text with recurrent neural networks‏‎ (09:46, 30 August 2017)
  67. learning Convolutional Feature Hierarchies for Visual Recognition‏‎ (09:46, 30 August 2017)
  68. distributed Representations of Words and Phrases and their Compositionality‏‎ (09:46, 30 August 2017)
  69. on the Number of Linear Regions of Deep Neural Networks‏‎ (09:46, 30 August 2017)
  70. the Manifold Tangent Classifier‏‎ (09:46, 30 August 2017)
  71. the loss surfaces of multilayer networks (Choromanska et al.)‏‎ (09:46, 30 August 2017)
  72. a fast learning algorithm for deep belief nets‏‎ (09:46, 30 August 2017)
  73. on using very large target vocabulary for neural machine translation‏‎ (09:46, 30 August 2017)
  74. strategies for Training Large Scale Neural Network Language Models‏‎ (09:46, 30 August 2017)
  75. learning Fast Approximations of Sparse Coding‏‎ (09:46, 30 August 2017)
  76. deep Neural Nets as a Method for Quantitative Structure–Activity Relationships‏‎ (09:46, 30 August 2017)
  77. semi-supervised Learning with Deep Generative Models‏‎ (09:46, 30 August 2017)
  78. on the difficulty of training recurrent neural networks‏‎ (09:46, 30 August 2017)
  79. mULTIPLE OBJECT RECOGNITION WITH VISUAL ATTENTION‏‎ (09:46, 30 August 2017)
  80. stat946f17‏‎ (23:10, 25 September 2017)
  81. Deep Transfer Learning with Joint Adaptation Networks‏‎ (15:32, 2 October 2017)
  82. Proposal for STAT946 (Deep Learning) final projects Fall 2017‏‎ (12:54, 3 October 2017)
  83. Curiosity-driven Exploration by Self-supervised Prediction‏‎ (12:07, 26 October 2017)
  84. Hash Embeddings for Efficient Word Representations‏‎ (19:44, 26 October 2017)
  85. STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN‏‎ (10:58, 28 October 2017)
  86. STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow‏‎ (03:56, 29 October 2017)
  87. Understanding the Effective Receptive Field in Deep Convolutional Neural Networks‏‎ (15:12, 7 November 2017)
  88. STAT946F17/ Dance Dance Convolution‏‎ (14:50, 24 November 2017)
  89. Hierarchical Question-Image Co-Attention for Visual Question Answering‏‎ (19:50, 28 November 2017)
  90. Universal Style Transfer via Feature Transforms‏‎ (20:10, 28 November 2017)
  91. LightRNN: Memory and Computation-Efficient Recurrent Neural Networks‏‎ (20:18, 28 November 2017)
  92. "Why Should I Trust You?": Explaining the Predictions of Any Classifier‏‎ (20:21, 28 November 2017)
  93. Imagination-Augmented Agents for Deep Reinforcement Learning‏‎ (20:24, 28 November 2017)
  94. STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study‏‎ (20:30, 28 November 2017)
  95. Convolutional Sequence to Sequence Learning‏‎ (20:37, 28 November 2017)
  96. meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting‏‎ (20:40, 28 November 2017)
  97. When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary‏‎ (20:45, 28 November 2017)
  98. Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition‏‎ (13:19, 30 November 2017)
  99. STAT946F17/ Automated Curriculum Learning for Neural Networks‏‎ (14:37, 30 November 2017)
  100. STAT946F17/Decoding with Value Networks for Neural Machine Translation‏‎ (00:09, 3 December 2017)

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