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Showing below up to 100 results in range #251 to #350.

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  1. inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method
  2. infoboxtest
  3. is Multinomial PCA Multi-faceted Clustering or Dimensionality Reduction
  4. joint training of a convolutional network and a graphical model for human pose estimation
  5. kernel Dimension Reduction in Regression
  6. kernel Spectral Clustering for Community Detection in Complex Networks
  7. kernelized Locality-Sensitive Hashing
  8. kernelized Sorting
  9. large-Scale Supervised Sparse Principal Component Analysis
  10. learn what not to learn
  11. learning2reasoning
  12. learning Convolutional Feature Hierarchies for Visual Recognition
  13. learning Fast Approximations of Sparse Coding
  14. learning Hierarchical Features for Scene Labeling
  15. learning Long-Range Vision for Autonomous Off-Road Driving
  16. learning Phrase Representations
  17. learning Spectral Clustering, With Application To Speech Separation
  18. link to my paper
  19. mULTIPLE OBJECT RECOGNITION WITH VISUAL ATTENTION
  20. mark Your Contribution here
  21. mark your contribution here
  22. markov Random Fields for Super-Resolution
  23. matrix Completion with Noise
  24. maximum-Margin Matrix Factorization
  25. maximum Variance Unfolding (June 2 2009)
  26. maximum likelihood estimation of intrinsic dimension
  27. meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting
  28. measuring Statistical Dependence with Hilbert-Schmidt Norm
  29. measuring and testing dependence by correlation of distances
  30. measuring statistical dependence with Hilbert-Schmidt norms
  31. memory Networks
  32. metric and Kernel Learning Using a Linear Transformation
  33. monte Carlo methods
  34. multi-Task Feature Learning
  35. natural language processing (almost) from scratch.
  36. neighbourhood Components Analysis
  37. neural Machine Translation: Jointly Learning to Align and Translate
  38. neural Turing Machines
  39. nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization
  40. nonparametric Latent Feature Models for Link Prediction
  41. on the Number of Linear Regions of Deep Neural Networks
  42. on the difficulty of training recurrent neural networks
  43. on using very large target vocabulary for neural machine translation
  44. orthogonal gradient descent for continual learning
  45. overfeat: integrated recognition, localization and detection using convolutional networks
  46. paper 13
  47. parametric Local Metric Learning for Nearest Neighbor Classification
  48. parsing natural scenes and natural language with recursive neural networks
  49. policy optimization with demonstrations
  50. positive Semidefinite Metric Learning Using Boosting-like Algorithms
  51. probabilistic Matrix Factorization
  52. probabilistic PCA with GPLVM
  53. proof
  54. proof of Lemma 1
  55. proof of Theorem 1
  56. proposal Fall 2010
  57. proposal for STAT946 (Deep Learning) final projects Fall 2015
  58. proposal for STAT946 projects
  59. proposal for STAT946 projects Fall 2010
  60. quantifying cancer progression with conjunctive Bayesian networks
  61. quantifying cancer progression with conjunctive Bayesian networks.
  62. question Answering with Subgraph Embeddings
  63. rOBPCA: A New Approach to Robust Principal Component Analysis
  64. regression on Manifold using Kernel Dimension Reduction
  65. relevant Component Analysis
  66. residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models
  67. s13Stat946proposal
  68. sandbox to test w2l
  69. scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Machines
  70. schedule
  71. schedule946
  72. schedule of Project Presentations
  73. self-Taught Learning
  74. semi-supervised Learning with Deep Generative Models
  75. show, Attend and Tell: Neural Image Caption Generation with Visual Attention
  76. signupformStat341F11
  77. singular Value Decomposition(SVD)
  78. sparse PCA
  79. stat441F18/TCNLM
  80. stat441F18/YOLO
  81. stat441w18/A New Method of Region Embedding for Text Classification
  82. stat441w18/Convolutional Neural Networks for Sentence Classification
  83. stat441w18/Image Question Answering using CNN with Dynamic Parameter Prediction
  84. stat441w18/Saliency-based Sequential Image Attention with Multiset Prediction
  85. stat441w18/e-gan
  86. stat441w18/mastering-chess-and-shogi-self-play
  87. stat441w18/summary 1
  88. stat841F18/
  89. stat946F18/Autoregressive Convolutional Neural Networks for Asynchronous Time Series
  90. stat946F18/Beyond Word Importance Contextual Decomposition to Extract Interactions from LSTMs
  91. stat946F18/differentiableplasticity
  92. stat946F20/GradientLess Descent
  93. stat946f11pool
  94. stat946f15/Deep neural networks for acoustic modeling in speech recognition
  95. stat946f15/Sequence to sequence learning with neural networks
  96. stat946w18
  97. stat946w18/
  98. stat946w18/AmbientGAN: Generative Models from Lossy Measurements
  99. stat946w18/Hierarchical Representations for Efficient Architecture Search
  100. stat946w18/IMPROVING GANS USING OPTIMAL TRANSPORT

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