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Showing below up to 130 results in range #301 to #430.

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  1. measuring and testing dependence by correlation of distances
  2. measuring statistical dependence with Hilbert-Schmidt norms
  3. memory Networks
  4. metric and Kernel Learning Using a Linear Transformation
  5. monte Carlo Integration
  6. monte Carlo methods
  7. multi-Task Feature Learning
  8. natural language processing (almost) from scratch.
  9. neighbourhood Components Analysis
  10. neural Machine Translation: Jointly Learning to Align and Translate
  11. neural Turing Machines
  12. nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization
  13. nonparametric Latent Feature Models for Link Prediction
  14. on the Number of Linear Regions of Deep Neural Networks
  15. on the difficulty of training recurrent neural networks
  16. on using very large target vocabulary for neural machine translation
  17. optimal Solutions forSparse Principal Component Analysis
  18. orthogonal gradient descent for continual learning
  19. overfeat: integrated recognition, localization and detection using convolutional networks
  20. paper 13
  21. paper Summaries
  22. parametric Local Metric Learning for Nearest Neighbor Classification
  23. parsing natural scenes and natural language with recursive neural networks
  24. policy optimization with demonstrations
  25. positive Semidefinite Metric Learning Using Boosting-like Algorithms
  26. probabilistic Matrix Factorization
  27. probabilistic PCA with GPLVM
  28. proof
  29. proof of Lemma 1
  30. proof of Theorem 1
  31. proposal Fall 2010
  32. proposal for STAT946 (Deep Learning) final projects Fall 2015
  33. proposal for STAT946 projects
  34. proposal for STAT946 projects Fall 2010
  35. quantifying cancer progression with conjunctive Bayesian networks
  36. quantifying cancer progression with conjunctive Bayesian networks.
  37. question Answering with Subgraph Embeddings
  38. rOBPCA: A New Approach to Robust Principal Component Analysis
  39. regression on Manifold using Kernel Dimension Reduction
  40. relevant Component Analysis
  41. residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models
  42. s13Stat946proposal
  43. sandbox to test w2l
  44. scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Machines
  45. schedule
  46. schedule946
  47. schedule of Project Presentations
  48. self-Taught Learning
  49. semi-supervised Learning with Deep Generative Models
  50. show, Attend and Tell: Neural Image Caption Generation with Visual Attention
  51. sign up for your presentation
  52. signupformStat341F11
  53. singular Value Decomposition(SVD)
  54. sparse PCA
  55. stat340s13
  56. stat341 / CM 361
  57. stat341f11
  58. stat441F18
  59. stat441F18/TCNLM
  60. stat441F18/YOLO
  61. stat441F21
  62. stat441w18
  63. stat441w18/A New Method of Region Embedding for Text Classification
  64. stat441w18/Convolutional Neural Networks for Sentence Classification
  65. stat441w18/Image Question Answering using CNN with Dynamic Parameter Prediction
  66. stat441w18/Saliency-based Sequential Image Attention with Multiset Prediction
  67. stat441w18/e-gan
  68. stat441w18/mastering-chess-and-shogi-self-play
  69. stat441w18/summary 1
  70. stat841
  71. stat841F18/
  72. stat841f10
  73. stat841f11
  74. stat841f14
  75. stat940F21
  76. stat946-Fall 2010
  77. stat946F18
  78. stat946F18/Autoregressive Convolutional Neural Networks for Asynchronous Time Series
  79. stat946F18/Beyond Word Importance Contextual Decomposition to Extract Interactions from LSTMs
  80. stat946F18/differentiableplasticity
  81. stat946F20/GradientLess Descent
  82. stat946f10
  83. stat946f11
  84. stat946f11pool
  85. stat946f15
  86. stat946f15/Deep neural networks for acoustic modeling in speech recognition
  87. stat946f15/Sequence to sequence learning with neural networks
  88. stat946f17
  89. stat946s13
  90. stat946w18
  91. stat946w18/
  92. stat946w18/AmbientGAN: Generative Models from Lossy Measurements
  93. stat946w18/Hierarchical Representations for Efficient Architecture Search
  94. stat946w18/IMPROVING GANS USING OPTIMAL TRANSPORT
  95. stat946w18/Implicit Causal Models for Genome-wide Association Studies
  96. stat946w18/MaskRNN: Instance Level Video Object Segmentation
  97. stat946w18/Predicting Floor-Level for 911 Calls with Neural Networks and Smartphone Sensor Data
  98. stat946w18/Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolutional Layers
  99. stat946w18/Self Normalizing Neural Networks
  100. stat946w18/Spectral
  101. stat946w18/Spectral normalization for generative adversial network
  102. stat946w18/Synthetic and natural noise both break neural machine translation
  103. stat946w18/Tensorized LSTMs
  104. stat946w18/Towards Image Understanding From Deep Compression Without Decoding
  105. stat946w18/Unsupervised Machine Translation Using Monolingual Corpora Only
  106. stat946w18/Wavelet Pooling For Convolutional Neural Networks
  107. statf09841Proposal
  108. statf09841Scribe
  109. statf10841Scribe
  110. strategies for Training Large Scale Neural Network Language Models
  111. summary
  112. supervised Dictionary Learning
  113. tRIAL for that odd behaviour
  114. techniques for Normal and Gamma Sampling
  115. test
  116. test1
  117. the Indian Buffet Process: An Introduction and Review
  118. the Manifold Tangent Classifier
  119. the Wake-Sleep Algorithm for Unsupervised Neural Networks
  120. the loss surfaces of multilayer networks (Choromanska et al.)
  121. time-series-using-GAN
  122. uncovering Shared Structures in Multiclass Classification
  123. very Deep Convoloutional Networks for Large-Scale Image Recognition
  124. video-Based Face Recognition Using Adaptive Hidden Markov Models
  125. video-based face recognition using Adaptive HMM
  126. visualizing Data using t-SNE
  127. visualizing Similarity Data with a Mixture of Maps
  128. what game are we playing
  129. wikicoursenote:Manual of Style
  130. wikicoursenote:cleanup

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