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  1. A Deeper Look into Importance Sampling →‎ a Deeper Look into Importance Sampling
  2. A Direct Formulation For Sparse PCA Using Semidefinite Programming →‎ a Direct Formulation For Sparse PCA Using Semidefinite Programming
  3. A Dynamic Bayesian Network Click Model for Web Search Ranking →‎ a Dynamic Bayesian Network Click Model for Web Search Ranking
  4. A Dynamic Bayesian Network Click Model for web search ranking →‎ a Dynamic Bayesian Network Click Model for web search ranking
  5. A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization →‎ a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization
  6. A Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis →‎ a Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis
  7. A Rank Minimization Heuristic with Application to Minimum Order System Approximation →‎ a Rank Minimization Heuristic with Application to Minimum Order System Approximation
  8. A fast learning algorithm for deep belief nets →‎ a fast learning algorithm for deep belief nets
  9. Acceptance-Rejection Sampling →‎ acceptance-Rejection Sampling
  10. Adaptive dimension reduction for clustering high dimensional data →‎ adaptive dimension reduction for clustering high dimensional data
  11. Again on Markov Chain →‎ again on Markov Chain
  12. AmbientGAN: Generative Models from Lossy Measurements →‎ stat946w18/AmbientGAN: Generative Models from Lossy Measurements
  13. An HDP-HMM for Systems with State Persistence →‎ an HDP-HMM for Systems with State Persistence
  14. Bayesian and Frequentist Schools of Thought →‎ bayesian and Frequentist Schools of Thought
  15. Binomial Probability Monte Carlo Sampling June 2 2009 →‎ binomial Probability Monte Carlo Sampling June 2 2009
  16. Cardinality Restricted Boltzmann Machines →‎ cardinality Restricted Boltzmann Machines
  17. Cm361 →‎ cm361
  18. Compressed Sensing Reconstruction via Belief Propagation →‎ compressed Sensing Reconstruction via Belief Propagation
  19. Compressive Sensing →‎ compressive Sensing
  20. Compressive Sensing (Candes) →‎ compressive Sensing (Candes)
  21. Consistency of Trace Norm Minimization →‎ consistency of Trace Norm Minimization
  22. Context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis →‎ context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis
  23. Continuous space language models →‎ continuous space language models
  24. Contributions on Context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis →‎ contributions on Context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis
  25. Contributions on Quantifying Cancer Progression with Conjunctive Bayesian Networks →‎ contributions on Quantifying Cancer Progression with Conjunctive Bayesian Networks
  26. Contributions on Video-Based Face Recognition Using Adaptive Hidden Markov Models →‎ contributions on Video-Based Face Recognition Using Adaptive Hidden Markov Models
  27. Convex and Semi Nonnegative Matrix Factorization →‎ convex and Semi Nonnegative Matrix Factorization
  28. Copyofstat341 →‎ copyofstat341
  29. Decentralised Data Fusion: A Graphical Model Approach (Summary) →‎ decentralised Data Fusion: A Graphical Model Approach (Summary)
  30. DeepGenerativeModels →‎ deepGenerativeModels
  31. Deep Convolutional Neural Networks For LVCSR →‎ deep Convolutional Neural Networks For LVCSR
  32. Deep Generative Stochastic Networks Trainable by Backprop →‎ deep Generative Stochastic Networks Trainable by Backprop
  33. Deep Learning of the tissue-regulated splicing code →‎ deep Learning of the tissue-regulated splicing code
  34. Deep Neural Nets as a Method for Quantitative Structure–Activity Relationships →‎ deep Neural Nets as a Method for Quantitative Structure–Activity Relationships
  35. Deep Sparse Rectifier Neural Networks →‎ deep Sparse Rectifier Neural Networks
  36. Deep neural networks for acoustic modeling in speech recognition →‎ deep neural networks for acoustic modeling in speech recognition
  37. Deflation Method for Penalized Matrix Decomposition Sparse PCA →‎ deflation Method for Penalized Matrix Decomposition Sparse PCA
  38. Deflation Methods for Sparse PCA →‎ deflation Methods for Sparse PCA
  39. Dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces →‎ dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces
  40. DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification →‎ discLDA: Discriminative Learning for Dimensionality Reduction and Classification
  41. Distributed Representations of Words and Phrases and their Compositionality →‎ distributed Representations of Words and Phrases and their Compositionality
  42. Dropout →‎ dropout
  43. Extracting and Composing Robust Features with Denoising Autoencoders →‎ extracting and Composing Robust Features with Denoising Autoencoders
  44. F10 Stat841 digest →‎ f10 Stat841 digest
  45. F11Stat841EditorSignUp →‎ f11Stat841EditorSignUp
  46. F11Stat841presentation →‎ f11Stat841presentation
  47. F11Stat841proposal →‎ f11Stat841proposal
  48. F11Stat946ass →‎ f11Stat946ass
  49. F11Stat946papers →‎ f11Stat946papers
  50. F11Stat946presentation →‎ f11Stat946presentation
  51. F11stat946EditorSignUp →‎ f11stat946EditorSignUp
  52. F14Stat842EditorSignUp →‎ f14Stat842EditorSignUp
  53. F15Stat946PaperSignUp →‎ f15Stat946PaperSignUp
  54. F20-STAT 441/841 CM 763-Proposal →‎ F21-STAT 441/841 CM 763-Proposal
  55. F20-STAT 946-Proposal →‎ F21-STAT 940-Proposal
  56. From Machine Learning to Machine Reasoning →‎ from Machine Learning to Machine Reasoning
  57. Generating Random Numbers →‎ generating Random Numbers
  58. Generating text with recurrent neural networks →‎ generating text with recurrent neural networks
  59. Genetics →‎ genetics
  60. GoingDeeperWithConvolutions →‎ goingDeeperWithConvolutions
  61. Graph Laplacian Regularization for Larg-Scale Semidefinite Programming →‎ graph Laplacian Regularization for Larg-Scale Semidefinite Programming
  62. Graphical models for structured classification, with an application to interpreting images of protein subcellular location patterns →‎ graphical models for structured classification, with an application to interpreting images of protein subcellular location patterns
  63. Graves et al., Speech recognition with deep recurrent neural networks →‎ graves et al., Speech recognition with deep recurrent neural networks
  64. Hamming Distance Metric Learning →‎ hamming Distance Metric Learning
  65. Hierarchical Dirichlet Processes →‎ hierarchical Dirichlet Processes
  66. Human-level control through deep reinforcement learning →‎ human-level control through deep reinforcement learning
  67. ImageNet Classification with Deep Convolutional Neural Networks →‎ imageNet Classification with Deep Convolutional Neural Networks
  68. Importance Sampling June 2 2009 →‎ importance Sampling June 2 2009
  69. Importance Sampling and Markov Chain Monte Carlo (MCMC) →‎ importance Sampling and Markov Chain Monte Carlo (MCMC)
  70. Importance Sampling and Monte Carlo Simulation →‎ importance Sampling and Monte Carlo Simulation
  71. Incremental Learning, Clustering and Hierarchy Formation of Whole Body Motion Patterns using Adaptive Hidden Markov Chains(Summary) →‎ incremental Learning, Clustering and Hierarchy Formation of Whole Body Motion Patterns using Adaptive Hidden Markov Chains(Summary)
  72. Independent Component Analysis: algorithms and applications →‎ independent Component Analysis: algorithms and applications
  73. Inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →‎ inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method
  74. Infoboxtest →‎ infoboxtest
  75. Is Multinomial PCA Multi-faceted Clustering or Dimensionality Reduction →‎ is Multinomial PCA Multi-faceted Clustering or Dimensionality Reduction
  76. Joint training of a convolutional network and a graphical model for human pose estimation →‎ joint training of a convolutional network and a graphical model for human pose estimation
  77. Kernel Dimension Reduction in Regression →‎ kernel Dimension Reduction in Regression
  78. Kernel Spectral Clustering for Community Detection in Complex Networks →‎ kernel Spectral Clustering for Community Detection in Complex Networks
  79. Kernelized Locality-Sensitive Hashing →‎ kernelized Locality-Sensitive Hashing
  80. Kernelized Sorting →‎ kernelized Sorting
  81. Large-Scale Supervised Sparse Principal Component Analysis →‎ large-Scale Supervised Sparse Principal Component Analysis
  82. Learning2reasoning →‎ learning2reasoning
  83. Learning Convolutional Feature Hierarchies for Visual Recognition →‎ learning Convolutional Feature Hierarchies for Visual Recognition
  84. Learning Fast Approximations of Sparse Coding →‎ learning Fast Approximations of Sparse Coding
  85. Learning Hierarchical Features for Scene Labeling →‎ learning Hierarchical Features for Scene Labeling
  86. Learning Long-Range Vision for Autonomous Off-Road Driving →‎ learning Long-Range Vision for Autonomous Off-Road Driving
  87. Learning Phrase Representations →‎ learning Phrase Representations
  88. Learning Spectral Clustering, With Application To Speech Separation →‎ learning Spectral Clustering, With Application To Speech Separation
  89. Learning a Nonlinear Embedding by Preserving Class Neighborhood Structure →‎ learning a Nonlinear Embedding by Preserving Class Neighborhood Structure
  90. Link to my paper →‎ link to my paper
  91. MULTIPLE OBJECT RECOGNITION WITH VISUAL ATTENTION →‎ mULTIPLE OBJECT RECOGNITION WITH VISUAL ATTENTION
  92. Main Page →‎ main Page
  93. Mark Your Contribution here →‎ mark Your Contribution here
  94. Mark your contribution here →‎ mark your contribution here
  95. Markov Chain Definitions →‎ markov Chain Definitions
  96. Markov Random Fields for Super-Resolution →‎ markov Random Fields for Super-Resolution
  97. Matrix Completion with Noise →‎ matrix Completion with Noise
  98. Maximum-Margin Matrix Factorization →‎ maximum-Margin Matrix Factorization
  99. Maximum Variance Unfolding (June 2 2009) →‎ maximum Variance Unfolding (June 2 2009)
  100. Maximum likelihood estimation of intrinsic dimension →‎ maximum likelihood estimation of intrinsic dimension
  101. Measuring Statistical Dependence with Hilbert-Schmidt Norm →‎ measuring Statistical Dependence with Hilbert-Schmidt Norm
  102. Measuring and testing dependence by correlation of distances →‎ measuring and testing dependence by correlation of distances
  103. Measuring statistical dependence with Hilbert-Schmidt norms →‎ measuring statistical dependence with Hilbert-Schmidt norms
  104. Memory Networks →‎ memory Networks
  105. Metric and Kernel Learning Using a Linear Transformation →‎ metric and Kernel Learning Using a Linear Transformation
  106. Monte Carlo Integration →‎ monte Carlo Integration
  107. Monte Carlo methods →‎ monte Carlo methods
  108. Multi-Task Feature Learning →‎ multi-Task Feature Learning
  109. Natural language processing (almost) from scratch. →‎ natural language processing (almost) from scratch.
  110. Neighbourhood Components Analysis →‎ neighbourhood Components Analysis
  111. Neural Machine Translation: Jointly Learning to Align and Translate →‎ neural Machine Translation: Jointly Learning to Align and Translate
  112. Neural Speed Reading →‎ Neural Speed Reading via Skim-RNN
  113. Neural Turing Machines →‎ neural Turing Machines
  114. Nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →‎ nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization
  115. Nonparametric Latent Feature Models for Link Prediction →‎ nonparametric Latent Feature Models for Link Prediction
  116. On the Number of Linear Regions of Deep Neural Networks →‎ on the Number of Linear Regions of Deep Neural Networks
  117. On the difficulty of training recurrent neural networks →‎ on the difficulty of training recurrent neural networks
  118. On using very large target vocabulary for neural machine translation →‎ on using very large target vocabulary for neural machine translation
  119. Optimal Solutions forSparse Principal Component Analysis →‎ optimal Solutions forSparse Principal Component Analysis
  120. Overfeat: integrated recognition, localization and detection using convolutional networks →‎ overfeat: integrated recognition, localization and detection using convolutional networks
  121. Paper 13 →‎ paper 13
  122. Paper Summaries →‎ paper Summaries
  123. Parametric Local Metric Learning for Nearest Neighbor Classification →‎ parametric Local Metric Learning for Nearest Neighbor Classification
  124. Parsing natural scenes and natural language with recursive neural networks →‎ parsing natural scenes and natural language with recursive neural networks
  125. Positive Semidefinite Metric Learning Using Boosting-like Algorithms →‎ positive Semidefinite Metric Learning Using Boosting-like Algorithms
  126. Probabilistic Matrix Factorization →‎ probabilistic Matrix Factorization
  127. Probabilistic PCA with GPLVM →‎ probabilistic PCA with GPLVM
  128. Proof →‎ proof
  129. Proof of Lemma 1 →‎ proof of Lemma 1
  130. Proof of Theorem 1 →‎ proof of Theorem 1
  131. Proposal Fall 2010 →‎ proposal Fall 2010
  132. Proposal for STAT946 (Deep Learning) final projects Fall 2015 →‎ proposal for STAT946 (Deep Learning) final projects Fall 2015
  133. Proposal for STAT946 projects →‎ proposal for STAT946 projects
  134. Proposal for STAT946 projects Fall 2010 →‎ proposal for STAT946 projects Fall 2010
  135. Proposed Title →‎ Bag of Tricks for Efficient Text Classification
  136. Quantifying cancer progression with conjunctive Bayesian networks →‎ quantifying cancer progression with conjunctive Bayesian networks
  137. Quantifying cancer progression with conjunctive Bayesian networks. →‎ quantifying cancer progression with conjunctive Bayesian networks.
  138. Question Answering with Subgraph Embeddings →‎ question Answering with Subgraph Embeddings
  139. ROBPCA: A New Approach to Robust Principal Component Analysis →‎ rOBPCA: A New Approach to Robust Principal Component Analysis
  140. Regression on Manifold using Kernel Dimension Reduction →‎ regression on Manifold using Kernel Dimension Reduction
  141. Regression on Manifolds Using Kernel Dimension Reduction →‎ regression on Manifolds Using Kernel Dimension Reduction
  142. Relevant Component Analysis →‎ relevant Component Analysis
  143. Residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →‎ residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models
  144. S13Stat946proposal →‎ s13Stat946proposal
  145. STAT946F17/cognitive psychology for deep neural networks a shape bias case study →‎ STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study
  146. STAT 940 F21 →‎ stat946F20
  147. Sandbox to test w2l →‎ sandbox to test w2l
  148. Scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Machines →‎ scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Machines
  149. Schedule →‎ schedule
  150. Schedule946 →‎ schedule946
  151. Schedule of Project Presentations →‎ schedule of Project Presentations
  152. Self-Taught Learning →‎ self-Taught Learning
  153. Semi-supervised Learning with Deep Generative Models →‎ semi-supervised Learning with Deep Generative Models
  154. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention →‎ show, Attend and Tell: Neural Image Caption Generation with Visual Attention
  155. Sign up for your presentation →‎ sign up for your presentation
  156. SignupformStat341F11 →‎ signupformStat341F11
  157. Singular Value Decomposition(SVD) →‎ singular Value Decomposition(SVD)
  158. Sparse PCA →‎ sparse PCA
  159. Stat340s13 →‎ stat340s13
  160. Stat341 →‎ stat341
  161. Stat341 / CM 361 →‎ stat341 / CM 361
  162. Stat341f11 →‎ stat341f11
  163. Stat841 →‎ stat841
  164. Stat841f10 →‎ stat841f10
  165. Stat841f11 →‎ stat841f11
  166. Stat841f14 →‎ stat841f14
  167. Stat946 →‎ stat946
  168. Stat946-Fall 2010 →‎ stat946-Fall 2010
  169. Stat946f10 →‎ stat946f10
  170. Stat946f11 →‎ stat946f11
  171. Stat946f11pool →‎ stat946f11pool
  172. Stat946f15 →‎ stat946f15
  173. Stat946f15/Deep neural networks for acoustic modeling in speech recognition →‎ stat946f15/Deep neural networks for acoustic modeling in speech recognition
  174. Stat946f15/Sequence to sequence learning with neural networks →‎ stat946f15/Sequence to sequence learning with neural networks
  175. Stat946s13 →‎ stat946s13
  176. Statf09841Proposal →‎ statf09841Proposal
  177. Statf09841Scribe →‎ statf09841Scribe
  178. Statf10841Scribe →‎ statf10841Scribe
  179. Strategies for Training Large Scale Neural Network Language Models →‎ strategies for Training Large Scale Neural Network Language Models
  180. Summary →‎ summary
  181. Summary for Saliency-based Sequential Image Attention with Multiset Prediction →‎ stat441w18/Saliency-based Sequential Image Attention with Multiset Prediction
  182. Supervised Dictionary Learning →‎ supervised Dictionary Learning
  183. TRIAL for that odd behaviour →‎ tRIAL for that odd behaviour
  184. Techniques for Normal and Gamma Sampling →‎ techniques for Normal and Gamma Sampling
  185. Test1 →‎ test1
  186. Text Mining Classification Clustering Extraction Techniques →‎ A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques
  187. The Indian Buffet Process: An Introduction and Review →‎ the Indian Buffet Process: An Introduction and Review
  188. The Manifold Tangent Classifier →‎ the Manifold Tangent Classifier
  189. The Wake-Sleep Algorithm for Unsupervised Neural Networks →‎ the Wake-Sleep Algorithm for Unsupervised Neural Networks
  190. The loss surfaces of multilayer networks (Choromanska et al.) →‎ the loss surfaces of multilayer networks (Choromanska et al.)
  191. Uncovering Shared Structures in Multiclass Classification →‎ uncovering Shared Structures in Multiclass Classification
  192. Very Deep Convoloutional Networks for Large-Scale Image Recognition →‎ very Deep Convoloutional Networks for Large-Scale Image Recognition
  193. Video-Based Face Recognition Using Adaptive Hidden Markov Models →‎ video-Based Face Recognition Using Adaptive Hidden Markov Models
  194. Video-based face recognition using Adaptive HMM →‎ video-based face recognition using Adaptive HMM
  195. Visualizing Data using t-SNE →‎ visualizing Data using t-SNE
  196. Visualizing Similarity Data with a Mixture of Maps →‎ visualizing Similarity Data with a Mixture of Maps
  197. Wikicoursenote:Manual of Style →‎ wikicoursenote:Manual of Style
  198. Wikicoursenote:cleanup →‎ wikicoursenote:cleanup
  199. cm361 →‎ Stat341 / CM 361
  200. neural sketch drawings →‎ A Neural Representation of Sketch Drawings
  201. new page →‎ Learning Combinatorial Optimzation
  202. regression on Manifolds Using Kernel Dimension Reduction →‎ Kernel Dimension Reduction in Regression
  203. stat341 →‎ Stat341 / CM 361
  204. stat441F20 →‎ stat441F21
  205. stat946 →‎ Stat946f10
  206. stat946F18/Hierarchical Representations for Efficient Architecture Search →‎ Hierarchical Representations for Efficient Architecture Search
  207. stat946F20 →‎ stat940F21
  208. understanding image motion with group representations →‎ Understanding Image Motion with Group Representations
  209. Talk:STAT 940 F21 →‎ Talk:stat946F20
  210. Talk:stat441F20 →‎ Talk:stat441F21
  211. Talk:stat946F20 →‎ Talk:stat940F21
  212. User:Bsodjahi →‎ Bayesian Network as a Decision Tool for Predicting ALS Disease
  213. User:Dfagan →‎ Efficient kNN Classification with Different Numbers of Nearest Neighbors
  214. User:G285sing →‎ BERTScore: Evaluating Text Generation with BERT
  215. User:Kb7lee →‎ statwiki:DETECTING STATISTICAL INTERACTIONS FROM NEURAL NETWORK WEIGHTS
  216. User:Q58yu →‎ Adversarial Attacks on Copyright Detection Systems
  217. User:STAT946F20/BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding →‎ STAT946F20/BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
  218. User:W28shen →‎ User:STAT946F20/BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
  219. User:Y93fang →‎ Summary for survey of neural networked-based cancer prediction models from microarray data
  220. statwiki:DETECTING STATISTICAL INTERACTIONS FROM NEURAL NETWORK WEIGHTS →‎ DETECTING STATISTICAL INTERACTIONS FROM NEURAL NETWORK WEIGHTS
  221. File:MaskTrackTable2.jpg →‎ File:MaskRNNTable2.jpg
  222. File:MaskTrackTable3.jpg →‎ File:MaskRNNTable3.jpg
  223. File:MaskTrackTable4.jpg →‎ File:MaskRNNTable4.jpg
  224. Template:Clr →‎ Template:-
  225. Template:Doc →‎ Template:Documentation
  226. Template:Documentation, template →‎ Template:Documentation
  227. Template:Tnavbar →‎ Template:Navbar

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