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

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  1. stat946w18/Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolutional Layers‏‎ (33 revisions)
  2. maximum likelihood estimation of intrinsic dimension‏‎ (33 revisions)
  3. joint training of a convolutional network and a graphical model for human pose estimation‏‎ (32 revisions)
  4. distributed Representations of Words and Phrases and their Compositionality‏‎ (32 revisions)
  5. compressive Sensing (Candes)‏‎ (32 revisions)
  6. contributions on Context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis‏‎ (32 revisions)
  7. learning Phrase Representations‏‎ (32 revisions)
  8. STAT946F17/ Automated Curriculum Learning for Neural Networks‏‎ (31 revisions)
  9. f11stat946EditorSignUp‏‎ (31 revisions)
  10. Deep Double Descent Where Bigger Models and More Data Hurt‏‎ (31 revisions)
  11. stat841F18/‏‎ (31 revisions)
  12. Going Deeper with Convolutions‏‎ (30 revisions)
  13. deep Generative Stochastic Networks Trainable by Backprop‏‎ (30 revisions)
  14. DCN plus: Mixed Objective And Deep Residual Coattention for Question Answering‏‎ (30 revisions)
  15. metric and Kernel Learning Using a Linear Transformation‏‎ (30 revisions)
  16. deep Convolutional Neural Networks For LVCSR‏‎ (29 revisions)
  17. genetics‏‎ (29 revisions)
  18. A Knowledge-Grounded Neural Conversation Model‏‎ (28 revisions)
  19. Depthwise Convolution Is All You Need for Learning Multiple Visual Domains‏‎ (28 revisions)
  20. learning Long-Range Vision for Autonomous Off-Road Driving‏‎ (27 revisions)
  21. neural Machine Translation: Jointly Learning to Align and Translate‏‎ (27 revisions)
  22. Dynamic Routing Between Capsulesl‏‎ (26 revisions)
  23. proposal for STAT946 (Deep Learning) final projects Fall 2015‏‎ (26 revisions)
  24. The Detection of Black Ice Accidents Using CNNs‏‎ (26 revisions)
  25. dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces‏‎ (25 revisions)
  26. imageNet Classification with Deep Convolutional Neural Networks‏‎ (25 revisions)
  27. Learning The Difference That Makes A Difference With Counterfactually-Augmented Data‏‎ (25 revisions)
  28. paper Summaries‏‎ (25 revisions)
  29. Unsupervised Machine Translation Using Monolingual Corpora Only‏‎ (24 revisions)
  30. contributions on Video-Based Face Recognition Using Adaptive Hidden Markov Models‏‎ (24 revisions)
  31. very Deep Convoloutional Networks for Large-Scale Image Recognition‏‎ (24 revisions)
  32. context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis‏‎ (24 revisions)
  33. Wide and Deep Learning for Recommender Systems‏‎ (23 revisions)
  34. measuring statistical dependence with Hilbert-Schmidt norms‏‎ (23 revisions)
  35. extracting and Composing Robust Features with Denoising Autoencoders‏‎ (23 revisions)
  36. deep Learning of the tissue-regulated splicing code‏‎ (22 revisions)
  37. a fast learning algorithm for deep belief nets‏‎ (22 revisions)
  38. decentralised Data Fusion: A Graphical Model Approach (Summary)‏‎ (22 revisions)
  39. s13Stat946proposal‏‎ (22 revisions)
  40. cardinality Restricted Boltzmann Machines‏‎ (22 revisions)
  41. stat946w18/Towards Image Understanding From Deep Compression Without Decoding‏‎ (22 revisions)
  42. generating text with recurrent neural networks‏‎ (21 revisions)
  43. stat441w18/Saliency-based Sequential Image Attention with Multiset Prediction‏‎ (21 revisions)
  44. rOBPCA: A New Approach to Robust Principal Component Analysis‏‎ (21 revisions)
  45. Convolutional neural network for diagnosis of viral pneumonia and COVID-19 alike diseases‏‎ (21 revisions)
  46. Summary of A Probabilistic Approach to Neural Network Pruning‏‎ (21 revisions)
  47. learning Convolutional Feature Hierarchies for Visual Recognition‏‎ (21 revisions)
  48. incremental Learning, Clustering and Hierarchy Formation of Whole Body Motion Patterns using Adaptive Hidden Markov Chains(Summary)‏‎ (20 revisions)
  49. kernel Spectral Clustering for Community Detection in Complex Networks‏‎ (20 revisions)
  50. f11Stat946papers‏‎ (18 revisions)
  51. Robust Probabilistic Modeling with Bayesian Data Reweighting‏‎ (18 revisions)
  52. A Game Theoretic Approach to Class-wise Selective Rationalization‏‎ (17 revisions)
  53. Traffic Sign Recognition System (TSRS): SVM and Convolutional Neural Network‏‎ (17 revisions)
  54. stat441F18/YOLO‏‎ (16 revisions)
  55. mULTIPLE OBJECT RECOGNITION WITH VISUAL ATTENTION‏‎ (15 revisions)
  56. Convolutional Neural Networks for Sentence Classification‏‎ (14 revisions)
  57. a Dynamic Bayesian Network Click Model for web search ranking‏‎ (13 revisions)
  58. on using very large target vocabulary for neural machine translation‏‎ (13 revisions)
  59. the loss surfaces of multilayer networks (Choromanska et al.)‏‎ (12 revisions)
  60. deep Neural Nets as a Method for Quantitative Structure–Activity Relationships‏‎ (12 revisions)
  61. Deep Residual Learning for Image Recognition Summary‏‎ (11 revisions)
  62. monte Carlo Integration‏‎ (10 revisions)
  63. markov Chain Definitions‏‎ (9 revisions)
  64. quantifying cancer progression with conjunctive Bayesian networks.‏‎ (8 revisions)
  65. measuring and testing dependence by correlation of distances‏‎ (8 revisions)
  66. on the Number of Linear Regions of Deep Neural Networks‏‎ (7 revisions)
  67. stat946f15‏‎ (7 revisions)
  68. bayesian and Frequentist Schools of Thought‏‎ (7 revisions)
  69. Batch Normalization‏‎ (7 revisions)
  70. importance Sampling and Monte Carlo Simulation‏‎ (7 revisions)
  71. importance Sampling and Markov Chain Monte Carlo (MCMC)‏‎ (7 revisions)
  72. the Manifold Tangent Classifier‏‎ (6 revisions)
  73. Batch Normalization Summary‏‎ (6 revisions)
  74. stat946-Fall 2010‏‎ (5 revisions)
  75. singular Value Decomposition(SVD)‏‎ (5 revisions)
  76. proof of Theorem 1‏‎ (5 revisions)
  77. again on Markov Chain‏‎ (5 revisions)
  78. Hash Embeddings for Efficient Word Representations‏‎ (5 revisions)
  79. tRIAL for that odd behaviour‏‎ (5 revisions)
  80. importance Sampling June 2 2009‏‎ (4 revisions)
  81. is Multinomial PCA Multi-faceted Clustering or Dimensionality Reduction‏‎ (4 revisions)
  82. stat946f11pool‏‎ (4 revisions)
  83. Another look at distance-weighted discrimination‏‎ (4 revisions)
  84. test1‏‎ (4 revisions)
  85. wikicoursenote:Manual of Style‏‎ (4 revisions)
  86. learning2reasoning‏‎ (4 revisions)
  87. generating Random Numbers‏‎ (3 revisions)
  88. Do Vision Transformers See Like CNN‏‎ (3 revisions)
  89. stat946f17‏‎ (3 revisions)
  90. acceptance-Rejection Sampling‏‎ (3 revisions)
  91. techniques for Normal and Gamma Sampling‏‎ (3 revisions)
  92. Proposal for STAT946 (Deep Learning) final projects Fall 2017‏‎ (3 revisions)
  93. sandbox to test w2l‏‎ (3 revisions)
  94. deepGenerativeModels‏‎ (3 revisions)
  95. quantifying cancer progression with conjunctive Bayesian networks‏‎ (3 revisions)
  96. wikicoursenote:cleanup‏‎ (3 revisions)
  97. mark Your Contribution here‏‎ (3 revisions)
  98. binomial Probability Monte Carlo Sampling June 2 2009‏‎ (3 revisions)
  99. copyofstat341‏‎ (2 revisions)
  100. stat946f15/Deep neural networks for acoustic modeling in speech recognition‏‎ (2 revisions)
  101. proof of Lemma 1‏‎ (2 revisions)
  102. link to my paper‏‎ (2 revisions)
  103. proof‏‎ (2 revisions)
  104. video-Based Face Recognition Using Adaptive Hidden Markov Models‏‎ (2 revisions)
  105. 13Stat946papers‏‎ (2 revisions)
  106. maximum Variance Unfolding (June 2 2009)‏‎ (2 revisions)
  107. monte Carlo methods‏‎ (2 revisions)
  108. infoboxtest‏‎ (2 revisions)
  109. Imagination Augmented Agents for Deep Reinforcement Learning‏‎ (2 revisions)
  110. ALBERT‏‎ (2 revisions)
  111. deflation Method for Penalized Matrix Decomposition Sparse PCA‏‎ (2 revisions)
  112. Bsodjahi‏‎ (2 revisions)
  113. Deep Transfer Learning with Joint Adaptation Networks‏‎ (2 revisions)
  114. Curiosity-driven Exploration by Self-supervised Prediction‏‎ (2 revisions)
  115. mark your contribution here‏‎ (2 revisions)
  116. Influenza Forecasting Framework based on Gaussian processes Summary‏‎ (1 revision)
  117. stat946w18/Hierarchical Representations for Efficient Architecture Search‏‎ (1 revision)
  118. stat946F20/GradientLess Descent‏‎ (1 revision)
  119. Improving neural networks by preventing co-adaption of feature detectors 2020 Fall‏‎ (1 revision)
  120. stat946w18/Spectral‏‎ (1 revision)
  121. Breaking the Softmax Bottleneck: A High-Rank RNN Language Model‏‎ (1 revision)
  122. ModelFramework.jpg‏‎ (1 revision)
  123. test‏‎ (1 revision)
  124. time-series-using-GAN‏‎ (1 revision)
  125. Meta-Learning-For-Domain Generalization‏‎ (1 revision)
  126. stat946w18/‏‎ (1 revision)
  127. Research on Multiple Classification Based on Improved SVM Algorithm for Balanced Binary Decision Tree‏‎ (1 revision)
  128. Don't Just Blame Over-parametrization Summary‏‎ (1 revision)
  129. Deep Learning for Extreme Multi-label Text Classification‏‎ (1 revision)
  130. Pre-Training-Tasks-For-Embedding-Based-Large-Scale-Retrieval‏‎ (1 revision)

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