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Showing below up to 100 results in range #1 to #100.

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  1. Improving neural networks by preventing co-adaption of feature detectors 2020 Fall‏‎ (1 revision)
  2. stat946w18/Spectral‏‎ (1 revision)
  3. Breaking the Softmax Bottleneck: A High-Rank RNN Language Model‏‎ (1 revision)
  4. ModelFramework.jpg‏‎ (1 revision)
  5. test‏‎ (1 revision)
  6. time-series-using-GAN‏‎ (1 revision)
  7. Meta-Learning-For-Domain Generalization‏‎ (1 revision)
  8. stat946w18/‏‎ (1 revision)
  9. Don't Just Blame Over-parametrization Summary‏‎ (1 revision)
  10. Research on Multiple Classification Based on Improved SVM Algorithm for Balanced Binary Decision Tree‏‎ (1 revision)
  11. Deep Learning for Extreme Multi-label Text Classification‏‎ (1 revision)
  12. Pre-Training-Tasks-For-Embedding-Based-Large-Scale-Retrieval‏‎ (1 revision)
  13. Influenza Forecasting Framework based on Gaussian processes Summary‏‎ (1 revision)
  14. stat946w18/Hierarchical Representations for Efficient Architecture Search‏‎ (1 revision)
  15. stat946F20/GradientLess Descent‏‎ (1 revision)
  16. link to my paper‏‎ (2 revisions)
  17. proof‏‎ (2 revisions)
  18. video-Based Face Recognition Using Adaptive Hidden Markov Models‏‎ (2 revisions)
  19. 13Stat946papers‏‎ (2 revisions)
  20. maximum Variance Unfolding (June 2 2009)‏‎ (2 revisions)
  21. monte Carlo methods‏‎ (2 revisions)
  22. infoboxtest‏‎ (2 revisions)
  23. Imagination Augmented Agents for Deep Reinforcement Learning‏‎ (2 revisions)
  24. ALBERT‏‎ (2 revisions)
  25. deflation Method for Penalized Matrix Decomposition Sparse PCA‏‎ (2 revisions)
  26. Bsodjahi‏‎ (2 revisions)
  27. Deep Transfer Learning with Joint Adaptation Networks‏‎ (2 revisions)
  28. Curiosity-driven Exploration by Self-supervised Prediction‏‎ (2 revisions)
  29. mark your contribution here‏‎ (2 revisions)
  30. copyofstat341‏‎ (2 revisions)
  31. stat946f15/Deep neural networks for acoustic modeling in speech recognition‏‎ (2 revisions)
  32. proof of Lemma 1‏‎ (2 revisions)
  33. Do Vision Transformers See Like CNN‏‎ (3 revisions)
  34. stat946f17‏‎ (3 revisions)
  35. acceptance-Rejection Sampling‏‎ (3 revisions)
  36. techniques for Normal and Gamma Sampling‏‎ (3 revisions)
  37. Proposal for STAT946 (Deep Learning) final projects Fall 2017‏‎ (3 revisions)
  38. sandbox to test w2l‏‎ (3 revisions)
  39. deepGenerativeModels‏‎ (3 revisions)
  40. quantifying cancer progression with conjunctive Bayesian networks‏‎ (3 revisions)
  41. wikicoursenote:cleanup‏‎ (3 revisions)
  42. mark Your Contribution here‏‎ (3 revisions)
  43. binomial Probability Monte Carlo Sampling June 2 2009‏‎ (3 revisions)
  44. generating Random Numbers‏‎ (3 revisions)
  45. test1‏‎ (4 revisions)
  46. Another look at distance-weighted discrimination‏‎ (4 revisions)
  47. wikicoursenote:Manual of Style‏‎ (4 revisions)
  48. learning2reasoning‏‎ (4 revisions)
  49. importance Sampling June 2 2009‏‎ (4 revisions)
  50. is Multinomial PCA Multi-faceted Clustering or Dimensionality Reduction‏‎ (4 revisions)
  51. stat946f11pool‏‎ (4 revisions)
  52. proof of Theorem 1‏‎ (5 revisions)
  53. again on Markov Chain‏‎ (5 revisions)
  54. Hash Embeddings for Efficient Word Representations‏‎ (5 revisions)
  55. tRIAL for that odd behaviour‏‎ (5 revisions)
  56. stat946-Fall 2010‏‎ (5 revisions)
  57. singular Value Decomposition(SVD)‏‎ (5 revisions)
  58. the Manifold Tangent Classifier‏‎ (6 revisions)
  59. Batch Normalization Summary‏‎ (6 revisions)
  60. bayesian and Frequentist Schools of Thought‏‎ (7 revisions)
  61. Batch Normalization‏‎ (7 revisions)
  62. importance Sampling and Monte Carlo Simulation‏‎ (7 revisions)
  63. importance Sampling and Markov Chain Monte Carlo (MCMC)‏‎ (7 revisions)
  64. on the Number of Linear Regions of Deep Neural Networks‏‎ (7 revisions)
  65. stat946f15‏‎ (7 revisions)
  66. quantifying cancer progression with conjunctive Bayesian networks.‏‎ (8 revisions)
  67. measuring and testing dependence by correlation of distances‏‎ (8 revisions)
  68. markov Chain Definitions‏‎ (9 revisions)
  69. monte Carlo Integration‏‎ (10 revisions)
  70. Deep Residual Learning for Image Recognition Summary‏‎ (11 revisions)
  71. the loss surfaces of multilayer networks (Choromanska et al.)‏‎ (12 revisions)
  72. deep Neural Nets as a Method for Quantitative Structure–Activity Relationships‏‎ (12 revisions)
  73. a Dynamic Bayesian Network Click Model for web search ranking‏‎ (13 revisions)
  74. on using very large target vocabulary for neural machine translation‏‎ (13 revisions)
  75. Convolutional Neural Networks for Sentence Classification‏‎ (14 revisions)
  76. mULTIPLE OBJECT RECOGNITION WITH VISUAL ATTENTION‏‎ (15 revisions)
  77. stat441F18/YOLO‏‎ (16 revisions)
  78. Traffic Sign Recognition System (TSRS): SVM and Convolutional Neural Network‏‎ (17 revisions)
  79. A Game Theoretic Approach to Class-wise Selective Rationalization‏‎ (17 revisions)
  80. Robust Probabilistic Modeling with Bayesian Data Reweighting‏‎ (18 revisions)
  81. f11Stat946papers‏‎ (18 revisions)
  82. incremental Learning, Clustering and Hierarchy Formation of Whole Body Motion Patterns using Adaptive Hidden Markov Chains(Summary)‏‎ (20 revisions)
  83. kernel Spectral Clustering for Community Detection in Complex Networks‏‎ (20 revisions)
  84. rOBPCA: A New Approach to Robust Principal Component Analysis‏‎ (21 revisions)
  85. Convolutional neural network for diagnosis of viral pneumonia and COVID-19 alike diseases‏‎ (21 revisions)
  86. Summary of A Probabilistic Approach to Neural Network Pruning‏‎ (21 revisions)
  87. learning Convolutional Feature Hierarchies for Visual Recognition‏‎ (21 revisions)
  88. generating text with recurrent neural networks‏‎ (21 revisions)
  89. stat441w18/Saliency-based Sequential Image Attention with Multiset Prediction‏‎ (21 revisions)
  90. a fast learning algorithm for deep belief nets‏‎ (22 revisions)
  91. decentralised Data Fusion: A Graphical Model Approach (Summary)‏‎ (22 revisions)
  92. s13Stat946proposal‏‎ (22 revisions)
  93. cardinality Restricted Boltzmann Machines‏‎ (22 revisions)
  94. stat946w18/Towards Image Understanding From Deep Compression Without Decoding‏‎ (22 revisions)
  95. deep Learning of the tissue-regulated splicing code‏‎ (22 revisions)
  96. Wide and Deep Learning for Recommender Systems‏‎ (23 revisions)
  97. measuring statistical dependence with Hilbert-Schmidt norms‏‎ (23 revisions)
  98. extracting and Composing Robust Features with Denoising Autoencoders‏‎ (23 revisions)
  99. Unsupervised Machine Translation Using Monolingual Corpora Only‏‎ (24 revisions)
  100. contributions on Video-Based Face Recognition Using Adaptive Hidden Markov Models‏‎ (24 revisions)

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