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Showing below up to 73 results in range #291 to #363.

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

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