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Showing below up to 180 results in range #251 to #430.

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  1. (hist) ‎F21-STAT 940-Proposal ‎[13,656 bytes]
  2. (hist) ‎stat441w18/A New Method of Region Embedding for Text Classification ‎[13,622 bytes]
  3. (hist) ‎dropout ‎[13,614 bytes]
  4. (hist) ‎compressive Sensing (Candes) ‎[13,587 bytes]
  5. (hist) ‎The Curious Case of Degeneration ‎[13,571 bytes]
  6. (hist) ‎sparse PCA ‎[13,535 bytes]
  7. (hist) ‎Robust Imitation Learning from Noisy Demonstrations ‎[13,516 bytes]
  8. (hist) ‎the loss surfaces of multilayer networks (Choromanska et al.) ‎[13,493 bytes]
  9. (hist) ‎Streaming Bayesian Inference for Crowdsourced Classification ‎[13,491 bytes]
  10. (hist) ‎stat946w18/Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolutional Layers ‎[13,361 bytes]
  11. (hist) ‎Gradient Episodic Memory for Continual Learning ‎[13,341 bytes]
  12. (hist) ‎natural language processing (almost) from scratch. ‎[13,194 bytes]
  13. (hist) ‎imageNet Classification with Deep Convolutional Neural Networks ‎[13,183 bytes]
  14. (hist) ‎Do Vision Transformers See Like CNN ‎[13,013 bytes]
  15. (hist) ‎paper 13 ‎[12,976 bytes]
  16. (hist) ‎On The Convergence Of ADAM And Beyond ‎[12,957 bytes]
  17. (hist) ‎an HDP-HMM for Systems with State Persistence ‎[12,699 bytes]
  18. (hist) ‎summary ‎[12,663 bytes]
  19. (hist) ‎Memory-Based Parameter Adaptation ‎[12,660 bytes]
  20. (hist) ‎The Detection of Black Ice Accidents Using CNNs ‎[12,531 bytes]
  21. (hist) ‎Automatic Bank Fraud Detection Using Support Vector Machines ‎[12,303 bytes]
  22. (hist) ‎scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Machines ‎[12,303 bytes]
  23. (hist) ‎Predicting Hurricane Trajectories Using a Recurrent Neural Network ‎[12,277 bytes]
  24. (hist) ‎learning Convolutional Feature Hierarchies for Visual Recognition ‎[12,276 bytes]
  25. (hist) ‎show, Attend and Tell: Neural Image Caption Generation with Visual Attention ‎[12,161 bytes]
  26. (hist) ‎joint training of a convolutional network and a graphical model for human pose estimation ‎[12,149 bytes]
  27. (hist) ‎Learning Combinatorial Optimzation ‎[12,086 bytes]
  28. (hist) ‎a fast learning algorithm for deep belief nets ‎[12,051 bytes]
  29. (hist) ‎F21-STAT 441/841 CM 763-Proposal ‎[12,049 bytes]
  30. (hist) ‎self-Taught Learning ‎[12,049 bytes]
  31. (hist) ‎stat441w18/Saliency-based Sequential Image Attention with Multiset Prediction ‎[12,037 bytes]
  32. (hist) ‎CRITICAL ANALYSIS OF SELF-SUPERVISION ‎[11,995 bytes]
  33. (hist) ‎neural Turing Machines ‎[11,991 bytes]
  34. (hist) ‎graph Laplacian Regularization for Larg-Scale Semidefinite Programming ‎[11,952 bytes]
  35. (hist) ‎learning Phrase Representations ‎[11,920 bytes]
  36. (hist) ‎nonparametric Latent Feature Models for Link Prediction ‎[11,861 bytes]
  37. (hist) ‎deep Generative Stochastic Networks Trainable by Backprop ‎[11,830 bytes]
  38. (hist) ‎maximum-Margin Matrix Factorization ‎[11,779 bytes]
  39. (hist) ‎f15Stat946PaperSignUp ‎[11,589 bytes]
  40. (hist) ‎GradientLess Descent ‎[11,517 bytes]
  41. (hist) ‎very Deep Convoloutional Networks for Large-Scale Image Recognition ‎[11,457 bytes]
  42. (hist) ‎A Game Theoretic Approach to Class-wise Selective Rationalization ‎[11,317 bytes]
  43. (hist) ‎A Knowledge-Grounded Neural Conversation Model ‎[11,272 bytes]
  44. (hist) ‎Augmix: New Data Augmentation method to increase the robustness of the algorithm ‎[11,257 bytes]
  45. (hist) ‎a Dynamic Bayesian Network Click Model for Web Search Ranking ‎[10,982 bytes]
  46. (hist) ‎mULTIPLE OBJECT RECOGNITION WITH VISUAL ATTENTION ‎[10,935 bytes]
  47. (hist) ‎deep Convolutional Neural Networks For LVCSR ‎[10,860 bytes]
  48. (hist) ‎Poison Frogs Neural Networks ‎[10,842 bytes]
  49. (hist) ‎Representations of Words and Phrases and their Compositionality ‎[10,739 bytes]
  50. (hist) ‎hamming Distance Metric Learning ‎[10,708 bytes]
  51. (hist) ‎Learning The Difference That Makes A Difference With Counterfactually-Augmented Data ‎[10,629 bytes]
  52. (hist) ‎stat841F18/ ‎[10,578 bytes]
  53. (hist) ‎context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis ‎[10,381 bytes]
  54. (hist) ‎kernel Spectral Clustering for Community Detection in Complex Networks ‎[10,246 bytes]
  55. (hist) ‎Depthwise Convolution Is All You Need for Learning Multiple Visual Domains ‎[10,043 bytes]
  56. (hist) ‎f17Stat946PaperSignUp ‎[9,982 bytes]
  57. (hist) ‎This Looks Like That: Deep Learning for Interpretable Image Recognition ‎[9,951 bytes]
  58. (hist) ‎test ‎[9,812 bytes]
  59. (hist) ‎Another look at distance-weighted discrimination ‎[9,801 bytes]
  60. (hist) ‎video-based face recognition using Adaptive HMM ‎[9,786 bytes]
  61. (hist) ‎semi-supervised Learning with Deep Generative Models ‎[9,651 bytes]
  62. (hist) ‎strategies for Training Large Scale Neural Network Language Models ‎[9,641 bytes]
  63. (hist) ‎Going Deeper with Convolutions ‎[9,580 bytes]
  64. (hist) ‎Don't Just Blame Over-parametrization ‎[9,544 bytes]
  65. (hist) ‎stat946w18 ‎[9,537 bytes]
  66. (hist) ‎positive Semidefinite Metric Learning Using Boosting-like Algorithms ‎[9,507 bytes]
  67. (hist) ‎Robust Probabilistic Modeling with Bayesian Data Reweighting ‎[9,400 bytes]
  68. (hist) ‎Research on Multiple Classification Based on Improved SVM Algorithm for Balanced Binary Decision Tree ‎[9,395 bytes]
  69. (hist) ‎parametric Local Metric Learning for Nearest Neighbor Classification ‎[9,358 bytes]
  70. (hist) ‎cardinality Restricted Boltzmann Machines ‎[9,174 bytes]
  71. (hist) ‎deep Sparse Rectifier Neural Networks ‎[8,983 bytes]
  72. (hist) ‎STAT946F20/BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding ‎[8,936 bytes]
  73. (hist) ‎decentralised Data Fusion: A Graphical Model Approach (Summary) ‎[8,861 bytes]
  74. (hist) ‎adaptive dimension reduction for clustering high dimensional data ‎[8,820 bytes]
  75. (hist) ‎a Rank Minimization Heuristic with Application to Minimum Order System Approximation ‎[8,679 bytes]
  76. (hist) ‎Dynamic Routing Between Capsulesl ‎[8,625 bytes]
  77. (hist) ‎stat441F21 ‎[8,574 bytes]
  78. (hist) ‎Unsupervised Machine Translation Using Monolingual Corpora Only ‎[8,547 bytes]
  79. (hist) ‎deep Learning of the tissue-regulated splicing code ‎[8,523 bytes]
  80. (hist) ‎generating Random Numbers ‎[8,400 bytes]
  81. (hist) ‎on the Number of Linear Regions of Deep Neural Networks ‎[8,398 bytes]
  82. (hist) ‎hierarchical Dirichlet Processes ‎[8,178 bytes]
  83. (hist) ‎Bayesian Network as a Decision Tool for Predicting ALS Disease ‎[8,088 bytes]
  84. (hist) ‎contributions on Context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis ‎[8,071 bytes]
  85. (hist) ‎U-Time:A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging Summary ‎[8,051 bytes]
  86. (hist) ‎measuring statistical dependence with Hilbert-Schmidt norms ‎[7,804 bytes]
  87. (hist) ‎Wide and Deep Learning for Recommender Systems ‎[7,762 bytes]
  88. (hist) ‎proposal for STAT946 (Deep Learning) final projects Fall 2015 ‎[7,533 bytes]
  89. (hist) ‎importance Sampling and Monte Carlo Simulation ‎[7,462 bytes]
  90. (hist) ‎large-Scale Supervised Sparse Principal Component Analysis ‎[7,419 bytes]
  91. (hist) ‎techniques for Normal and Gamma Sampling ‎[7,262 bytes]
  92. (hist) ‎Convolutional Neural Networks for Sentence Classification ‎[7,012 bytes]
  93. (hist) ‎Convolutional neural network for diagnosis of viral pneumonia and COVID-19 alike diseases ‎[6,985 bytes]
  94. (hist) ‎again on Markov Chain ‎[6,938 bytes]
  95. (hist) ‎nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization ‎[6,730 bytes]
  96. (hist) ‎kernel Dimension Reduction in Regression ‎[6,640 bytes]
  97. (hist) ‎Deep Residual Learning for Image Recognition Summary ‎[6,589 bytes]
  98. (hist) ‎metric and Kernel Learning Using a Linear Transformation ‎[6,583 bytes]
  99. (hist) ‎Deep Learning for Extreme Multi-label Text Classification ‎[6,578 bytes]
  100. (hist) ‎genetics ‎[6,457 bytes]
  101. (hist) ‎importance Sampling and Markov Chain Monte Carlo (MCMC) ‎[6,450 bytes]
  102. (hist) ‎the Indian Buffet Process: An Introduction and Review ‎[6,413 bytes]
  103. (hist) ‎s13Stat946proposal ‎[6,364 bytes]
  104. (hist) ‎a Deeper Look into Importance Sampling ‎[6,315 bytes]
  105. (hist) ‎Batch Normalization ‎[6,084 bytes]
  106. (hist) ‎stat441F18 ‎[6,075 bytes]
  107. (hist) ‎bayesian and Frequentist Schools of Thought ‎[5,797 bytes]
  108. (hist) ‎acceptance-Rejection Sampling ‎[5,779 bytes]
  109. (hist) ‎stat441w18 ‎[5,299 bytes]
  110. (hist) ‎monte Carlo Integration ‎[5,183 bytes]
  111. (hist) ‎Task Understanding from Confushing Multitask Data ‎[5,085 bytes]
  112. (hist) ‎copyofstat341 ‎[5,050 bytes]
  113. (hist) ‎main Page ‎[5,022 bytes]
  114. (hist) ‎binomial Probability Monte Carlo Sampling June 2 2009 ‎[4,964 bytes]
  115. (hist) ‎stat441w18/summary 1 ‎[4,834 bytes]
  116. (hist) ‎stat940F21 ‎[4,782 bytes]
  117. (hist) ‎markov Chain Definitions ‎[4,619 bytes]
  118. (hist) ‎Batch Normalization Summary ‎[4,283 bytes]
  119. (hist) ‎sign up for your presentation ‎[4,160 bytes]
  120. (hist) ‎Hash Embeddings for Efficient Word Representations ‎[3,841 bytes]
  121. (hist) ‎measuring and testing dependence by correlation of distances ‎[3,675 bytes]
  122. (hist) ‎Traffic Sign Recognition System (TSRS): SVM and Convolutional Neural Network ‎[3,643 bytes]
  123. (hist) ‎a Dynamic Bayesian Network Click Model for web search ranking ‎[3,492 bytes]
  124. (hist) ‎contributions on Video-Based Face Recognition Using Adaptive Hidden Markov Models ‎[3,211 bytes]
  125. (hist) ‎f11Stat946presentation ‎[3,162 bytes]
  126. (hist) ‎proof ‎[3,086 bytes]
  127. (hist) ‎proof of Lemma 1 ‎[2,150 bytes]
  128. (hist) ‎is Multinomial PCA Multi-faceted Clustering or Dimensionality Reduction ‎[2,146 bytes]
  129. (hist) ‎importance Sampling June 2 2009 ‎[2,099 bytes]
  130. (hist) ‎Pre-Training-Tasks-For-Embedding-Based-Large-Scale-Retrieval ‎[2,068 bytes]
  131. (hist) ‎paper Summaries ‎[2,022 bytes]
  132. (hist) ‎signupformStat341F11 ‎[1,775 bytes]
  133. (hist) ‎f11Stat841presentation ‎[1,695 bytes]
  134. (hist) ‎deflation Method for Penalized Matrix Decomposition Sparse PCA ‎[1,621 bytes]
  135. (hist) ‎Imagination Augmented Agents for Deep Reinforcement Learning ‎[1,575 bytes]
  136. (hist) ‎statf09841Scribe ‎[1,515 bytes]
  137. (hist) ‎Meta-Learning-For-Domain Generalization ‎[1,514 bytes]
  138. (hist) ‎schedule946 ‎[1,494 bytes]
  139. (hist) ‎f14Stat842EditorSignUp ‎[1,238 bytes]
  140. (hist) ‎schedule of Project Presentations ‎[1,236 bytes]
  141. (hist) ‎f11Stat841EditorSignUp ‎[1,220 bytes]
  142. (hist) ‎proof of Theorem 1 ‎[1,140 bytes]
  143. (hist) ‎singular Value Decomposition(SVD) ‎[1,085 bytes]
  144. (hist) ‎f11Stat946papers ‎[941 bytes]
  145. (hist) ‎schedule ‎[918 bytes]
  146. (hist) ‎learning2reasoning ‎[852 bytes]
  147. (hist) ‎statf10841Scribe ‎[814 bytes]
  148. (hist) ‎Deep Transfer Learning with Joint Adaptation Networks ‎[760 bytes]
  149. (hist) ‎Bsodjahi ‎[759 bytes]
  150. (hist) ‎wikicoursenote:cleanup ‎[551 bytes]
  151. (hist) ‎f11stat946EditorSignUp ‎[501 bytes]
  152. (hist) ‎deepGenerativeModels ‎[466 bytes]
  153. (hist) ‎Proposal for STAT946 (Deep Learning) final projects Fall 2017 ‎[331 bytes]
  154. (hist) ‎infoboxtest ‎[260 bytes]
  155. (hist) ‎test1 ‎[255 bytes]
  156. (hist) ‎13Stat946papers ‎[234 bytes]
  157. (hist) ‎stat946f17 ‎[215 bytes]
  158. (hist) ‎link to my paper ‎[204 bytes]
  159. (hist) ‎stat946f15 ‎[198 bytes]
  160. (hist) ‎stat946F20/GradientLess Descent ‎[137 bytes]
  161. (hist) ‎stat946-Fall 2010 ‎[112 bytes]
  162. (hist) ‎mark your contribution here ‎[107 bytes]
  163. (hist) ‎mark Your Contribution here ‎[107 bytes]
  164. (hist) ‎Don't Just Blame Over-parametrization Summary ‎[89 bytes]
  165. (hist) ‎wikicoursenote:Manual of Style ‎[82 bytes]
  166. (hist) ‎ALBERT ‎[76 bytes]
  167. (hist) ‎stat946w18/ ‎[72 bytes]
  168. (hist) ‎sandbox to test w2l ‎[54 bytes]
  169. (hist) ‎time-series-using-GAN ‎[44 bytes]
  170. (hist) ‎monte Carlo methods ‎[36 bytes]
  171. (hist) ‎maximum Variance Unfolding (June 2 2009) ‎[34 bytes]
  172. (hist) ‎ModelFramework.jpg ‎[27 bytes]
  173. (hist) ‎video-Based Face Recognition Using Adaptive Hidden Markov Models ‎[17 bytes]
  174. (hist) ‎Improving neural networks by preventing co-adaption of feature detectors 2020 Fall ‎[16 bytes]
  175. (hist) ‎stat946f15/Deep neural networks for acoustic modeling in speech recognition ‎[16 bytes]
  176. (hist) ‎stat946w18/Hierarchical Representations for Efficient Architecture Search ‎[11 bytes]
  177. (hist) ‎Influenza Forecasting Framework based on Gaussian processes Summary ‎[4 bytes]
  178. (hist) ‎STAT946F17/ Dance Dance Convolution ‎[0 bytes]
  179. (hist) ‎Curiosity-driven Exploration by Self-supervised Prediction ‎[0 bytes]
  180. (hist) ‎tRIAL for that odd behaviour ‎[0 bytes]

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