Uncategorized pages

Jump to navigation Jump to search

Showing below up to 93 results in range #271 to #363.

View ( | next 250) (20 | 50 | 100 | 250 | 500)

  1. neighbourhood Components Analysis
  2. neural Machine Translation: Jointly Learning to Align and Translate
  3. nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization
  4. nonparametric Latent Feature Models for Link Prediction
  5. on using very large target vocabulary for neural machine translation
  6. orthogonal gradient descent for continual learning
  7. overfeat: integrated recognition, localization and detection using convolutional networks
  8. paper 13
  9. paper Summaries
  10. policy optimization with demonstrations
  11. proof
  12. proof of Lemma 1
  13. proof of Theorem 1
  14. proposal Fall 2010
  15. proposal for STAT946 (Deep Learning) final projects Fall 2015
  16. proposal for STAT946 projects
  17. proposal for STAT946 projects Fall 2010
  18. quantifying cancer progression with conjunctive Bayesian networks.
  19. rOBPCA: A New Approach to Robust Principal Component Analysis
  20. regression on Manifold using Kernel Dimension Reduction
  21. relevant Component Analysis
  22. residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models
  23. s13Stat946proposal
  24. sandbox to test w2l
  25. scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Machines
  26. schedule
  27. schedule946
  28. schedule of Project Presentations
  29. self-Taught Learning
  30. show, Attend and Tell: Neural Image Caption Generation with Visual Attention
  31. sign up for your presentation
  32. signupformStat341F11
  33. singular Value Decomposition(SVD)
  34. sparse PCA
  35. stat441F18
  36. stat441F18/TCNLM
  37. stat441F18/YOLO
  38. stat441F21
  39. stat441w18
  40. stat441w18/A New Method of Region Embedding for Text Classification
  41. stat441w18/Convolutional Neural Networks for Sentence Classification
  42. stat441w18/Image Question Answering using CNN with Dynamic Parameter Prediction
  43. stat441w18/Saliency-based Sequential Image Attention with Multiset Prediction
  44. stat441w18/e-gan
  45. stat441w18/mastering-chess-and-shogi-self-play
  46. stat441w18/summary 1
  47. stat841F18/
  48. stat940F21
  49. stat946-Fall 2010
  50. stat946F18
  51. stat946F18/Autoregressive Convolutional Neural Networks for Asynchronous Time Series
  52. stat946F18/Beyond Word Importance Contextual Decomposition to Extract Interactions from LSTMs
  53. stat946F18/differentiableplasticity
  54. stat946F20/GradientLess Descent
  55. stat946f15
  56. stat946f15/Deep neural networks for acoustic modeling in speech recognition
  57. stat946f17
  58. stat946s13
  59. stat946w18
  60. stat946w18/
  61. stat946w18/AmbientGAN: Generative Models from Lossy Measurements
  62. stat946w18/Hierarchical Representations for Efficient Architecture Search
  63. stat946w18/IMPROVING GANS USING OPTIMAL TRANSPORT
  64. stat946w18/Implicit Causal Models for Genome-wide Association Studies
  65. stat946w18/MaskRNN: Instance Level Video Object Segmentation
  66. stat946w18/Predicting Floor-Level for 911 Calls with Neural Networks and Smartphone Sensor Data
  67. stat946w18/Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolutional Layers
  68. stat946w18/Self Normalizing Neural Networks
  69. stat946w18/Spectral normalization for generative adversial network
  70. stat946w18/Synthetic and natural noise both break neural machine translation
  71. stat946w18/Tensorized LSTMs
  72. stat946w18/Towards Image Understanding From Deep Compression Without Decoding
  73. stat946w18/Unsupervised Machine Translation Using Monolingual Corpora Only
  74. stat946w18/Wavelet Pooling For Convolutional Neural Networks
  75. statf09841Proposal
  76. statf09841Scribe
  77. statf10841Scribe
  78. summary
  79. supervised Dictionary Learning
  80. tRIAL for that odd behaviour
  81. techniques for Normal and Gamma Sampling
  82. test
  83. the Indian Buffet Process: An Introduction and Review
  84. the Manifold Tangent Classifier
  85. the Wake-Sleep Algorithm for Unsupervised Neural Networks
  86. time-series-using-GAN
  87. very Deep Convoloutional Networks for Large-Scale Image Recognition
  88. video-Based Face Recognition Using Adaptive Hidden Markov Models
  89. visualizing Data using t-SNE
  90. visualizing Similarity Data with a Mixture of Maps
  91. what game are we playing
  92. wikicoursenote:Manual of Style
  93. wikicoursenote:cleanup

View ( | next 250) (20 | 50 | 100 | 250 | 500)