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  1. stat946f15/Deep neural networks for acoustic modeling in speech recognition‏‎ (2 revisions)
  2. maximum Variance Unfolding (June 2 2009)‏‎ (2 revisions)
  3. proof‏‎ (2 revisions)
  4. link to my paper‏‎ (2 revisions)
  5. proof of Lemma 1‏‎ (2 revisions)
  6. regression on Manifolds Using Kernel Dimension Reduction‏‎ (2 revisions - redirect page)
  7. Imagination Augmented Agents for Deep Reinforcement Learning‏‎ (2 revisions)
  8. deflation Method for Penalized Matrix Decomposition Sparse PCA‏‎ (2 revisions)
  9. cm361‏‎ (2 revisions - redirect page)
  10. 13Stat946papers‏‎ (2 revisions)
  11. video-Based Face Recognition Using Adaptive Hidden Markov Models‏‎ (2 revisions)
  12. copyofstat341‏‎ (2 revisions)
  13. Deep Transfer Learning with Joint Adaptation Networks‏‎ (2 revisions)
  14. mark your contribution here‏‎ (2 revisions)
  15. ALBERT‏‎ (2 revisions)
  16. infoboxtest‏‎ (2 revisions)
  17. stat946‏‎ (2 revisions - redirect page)
  18. Curiosity-driven Exploration by Self-supervised Prediction‏‎ (2 revisions)
  19. monte Carlo methods‏‎ (2 revisions)
  20. wikicoursenote:cleanup‏‎ (3 revisions)
  21. generating Random Numbers‏‎ (3 revisions)
  22. stat946f17‏‎ (3 revisions)
  23. binomial Probability Monte Carlo Sampling June 2 2009‏‎ (3 revisions)
  24. Proposal for STAT946 (Deep Learning) final projects Fall 2017‏‎ (3 revisions)
  25. mark Your Contribution here‏‎ (3 revisions)
  26. techniques for Normal and Gamma Sampling‏‎ (3 revisions)
  27. sandbox to test w2l‏‎ (3 revisions)
  28. deepGenerativeModels‏‎ (3 revisions)
  29. acceptance-Rejection Sampling‏‎ (3 revisions)
  30. quantifying cancer progression with conjunctive Bayesian networks‏‎ (3 revisions)
  31. stat341‏‎ (3 revisions - redirect page)
  32. wikicoursenote:Manual of Style‏‎ (4 revisions)
  33. importance Sampling June 2 2009‏‎ (4 revisions)
  34. learning2reasoning‏‎ (4 revisions)
  35. test1‏‎ (4 revisions)
  36. stat946f11pool‏‎ (4 revisions)
  37. is Multinomial PCA Multi-faceted Clustering or Dimensionality Reduction‏‎ (4 revisions)
  38. proof of Theorem 1‏‎ (5 revisions)
  39. tRIAL for that odd behaviour‏‎ (5 revisions)
  40. Hash Embeddings for Efficient Word Representations‏‎ (5 revisions)
  41. singular Value Decomposition(SVD)‏‎ (5 revisions)
  42. stat946-Fall 2010‏‎ (5 revisions)
  43. again on Markov Chain‏‎ (5 revisions)
  44. Batch Normalization Summary‏‎ (6 revisions)
  45. the Manifold Tangent Classifier‏‎ (6 revisions)
  46. bayesian and Frequentist Schools of Thought‏‎ (7 revisions)
  47. Batch Normalization‏‎ (7 revisions)
  48. importance Sampling and Markov Chain Monte Carlo (MCMC)‏‎ (7 revisions)
  49. importance Sampling and Monte Carlo Simulation‏‎ (7 revisions)
  50. on the Number of Linear Regions of Deep Neural Networks‏‎ (7 revisions)
  51. stat946f15‏‎ (7 revisions)
  52. measuring and testing dependence by correlation of distances‏‎ (8 revisions)
  53. quantifying cancer progression with conjunctive Bayesian networks.‏‎ (8 revisions)
  54. markov Chain Definitions‏‎ (9 revisions)
  55. monte Carlo Integration‏‎ (10 revisions)
  56. the loss surfaces of multilayer networks (Choromanska et al.)‏‎ (12 revisions)
  57. deep Neural Nets as a Method for Quantitative Structure–Activity Relationships‏‎ (12 revisions)
  58. on using very large target vocabulary for neural machine translation‏‎ (13 revisions)
  59. a Dynamic Bayesian Network Click Model for web search ranking‏‎ (13 revisions)
  60. Convolutional Neural Networks for Sentence Classification‏‎ (14 revisions)
  61. mULTIPLE OBJECT RECOGNITION WITH VISUAL ATTENTION‏‎ (15 revisions)
  62. stat441F18/YOLO‏‎ (16 revisions)
  63. Robust Probabilistic Modeling with Bayesian Data Reweighting‏‎ (18 revisions)
  64. f11Stat946papers‏‎ (18 revisions)
  65. kernel Spectral Clustering for Community Detection in Complex Networks‏‎ (20 revisions)
  66. incremental Learning, Clustering and Hierarchy Formation of Whole Body Motion Patterns using Adaptive Hidden Markov Chains(Summary)‏‎ (20 revisions)
  67. rOBPCA: A New Approach to Robust Principal Component Analysis‏‎ (21 revisions)
  68. generating text with recurrent neural networks‏‎ (21 revisions)
  69. learning Convolutional Feature Hierarchies for Visual Recognition‏‎ (21 revisions)
  70. stat441w18/Saliency-based Sequential Image Attention with Multiset Prediction‏‎ (21 revisions)
  71. deep Learning of the tissue-regulated splicing code‏‎ (22 revisions)
  72. cardinality Restricted Boltzmann Machines‏‎ (22 revisions)
  73. a fast learning algorithm for deep belief nets‏‎ (22 revisions)
  74. s13Stat946proposal‏‎ (22 revisions)
  75. decentralised Data Fusion: A Graphical Model Approach (Summary)‏‎ (22 revisions)
  76. stat946w18/Towards Image Understanding From Deep Compression Without Decoding‏‎ (22 revisions)
  77. measuring statistical dependence with Hilbert-Schmidt norms‏‎ (23 revisions)
  78. extracting and Composing Robust Features with Denoising Autoencoders‏‎ (23 revisions)
  79. context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis‏‎ (24 revisions)
  80. Unsupervised Machine Translation Using Monolingual Corpora Only‏‎ (24 revisions)
  81. contributions on Video-Based Face Recognition Using Adaptive Hidden Markov Models‏‎ (24 revisions)
  82. very Deep Convoloutional Networks for Large-Scale Image Recognition‏‎ (24 revisions)
  83. Learning The Difference That Makes A Difference With Counterfactually-Augmented Data‏‎ (25 revisions)
  84. imageNet Classification with Deep Convolutional Neural Networks‏‎ (25 revisions)
  85. paper Summaries‏‎ (25 revisions)
  86. dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces‏‎ (25 revisions)
  87. proposal for STAT946 (Deep Learning) final projects Fall 2015‏‎ (26 revisions)
  88. Dynamic Routing Between Capsulesl‏‎ (26 revisions)
  89. neural Machine Translation: Jointly Learning to Align and Translate‏‎ (27 revisions)
  90. learning Long-Range Vision for Autonomous Off-Road Driving‏‎ (27 revisions)
  91. A Knowledge-Grounded Neural Conversation Model‏‎ (28 revisions)
  92. genetics‏‎ (29 revisions)
  93. deep Convolutional Neural Networks For LVCSR‏‎ (29 revisions)
  94. metric and Kernel Learning Using a Linear Transformation‏‎ (30 revisions)
  95. Going Deeper with Convolutions‏‎ (30 revisions)
  96. deep Generative Stochastic Networks Trainable by Backprop‏‎ (30 revisions)
  97. DCN plus: Mixed Objective And Deep Residual Coattention for Question Answering‏‎ (30 revisions)
  98. stat841F18/‏‎ (31 revisions)
  99. STAT946F17/ Automated Curriculum Learning for Neural Networks‏‎ (31 revisions)
  100. f11stat946EditorSignUp‏‎ (31 revisions)

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