Short pages

Showing below up to 100 results in range #51 to #150.

51. (hist) ‎Pre-Training-Tasks-For-Embedding-Based-Large-Scale-Retrieval ‎[2,068 bytes]
52. (hist) ‎importance Sampling June 2 2009 ‎[2,099 bytes]
53. (hist) ‎is Multinomial PCA Multi-faceted Clustering or Dimensionality Reduction ‎[2,146 bytes]
54. (hist) ‎proof of Lemma 1 ‎[2,150 bytes]
55. (hist) ‎proof ‎[3,086 bytes]
56. (hist) ‎f11Stat946presentation ‎[3,162 bytes]
57. (hist) ‎contributions on Video-Based Face Recognition Using Adaptive Hidden Markov Models ‎[3,211 bytes]
58. (hist) ‎a Dynamic Bayesian Network Click Model for web search ranking ‎[3,492 bytes]
59. (hist) ‎Traffic Sign Recognition System (TSRS): SVM and Convolutional Neural Network ‎[3,643 bytes]
60. (hist) ‎measuring and testing dependence by correlation of distances ‎[3,675 bytes]
61. (hist) ‎Hash Embeddings for Efficient Word Representations ‎[3,841 bytes]
62. (hist) ‎sign up for your presentation ‎[4,160 bytes]
63. (hist) ‎Batch Normalization Summary ‎[4,283 bytes]
64. (hist) ‎markov Chain Definitions ‎[4,619 bytes]
65. (hist) ‎stat940F21 ‎[4,782 bytes]
66. (hist) ‎stat441w18/summary 1 ‎[4,834 bytes]
67. (hist) ‎binomial Probability Monte Carlo Sampling June 2 2009 ‎[4,964 bytes]
68. (hist) ‎main Page ‎[5,022 bytes]
69. (hist) ‎copyofstat341 ‎[5,050 bytes]
70. (hist) ‎Task Understanding from Confushing Multitask Data ‎[5,085 bytes]
71. (hist) ‎monte Carlo Integration ‎[5,183 bytes]
72. (hist) ‎stat441w18 ‎[5,299 bytes]
73. (hist) ‎acceptance-Rejection Sampling ‎[5,779 bytes]
74. (hist) ‎bayesian and Frequentist Schools of Thought ‎[5,797 bytes]
75. (hist) ‎stat441F18 ‎[6,075 bytes]
76. (hist) ‎Batch Normalization ‎[6,084 bytes]
77. (hist) ‎a Deeper Look into Importance Sampling ‎[6,315 bytes]
78. (hist) ‎s13Stat946proposal ‎[6,364 bytes]
79. (hist) ‎the Indian Buffet Process: An Introduction and Review ‎[6,413 bytes]
80. (hist) ‎importance Sampling and Markov Chain Monte Carlo (MCMC) ‎[6,450 bytes]
81. (hist) ‎genetics ‎[6,457 bytes]
82. (hist) ‎Deep Learning for Extreme Multi-label Text Classification ‎[6,578 bytes]
83. (hist) ‎metric and Kernel Learning Using a Linear Transformation ‎[6,583 bytes]
84. (hist) ‎Deep Residual Learning for Image Recognition Summary ‎[6,589 bytes]
85. (hist) ‎kernel Dimension Reduction in Regression ‎[6,640 bytes]
86. (hist) ‎nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization ‎[6,730 bytes]
87. (hist) ‎again on Markov Chain ‎[6,938 bytes]
88. (hist) ‎Convolutional neural network for diagnosis of viral pneumonia and COVID-19 alike diseases ‎[6,985 bytes]
89. (hist) ‎Convolutional Neural Networks for Sentence Classification ‎[7,012 bytes]
90. (hist) ‎techniques for Normal and Gamma Sampling ‎[7,262 bytes]
91. (hist) ‎large-Scale Supervised Sparse Principal Component Analysis ‎[7,419 bytes]
92. (hist) ‎importance Sampling and Monte Carlo Simulation ‎[7,462 bytes]
93. (hist) ‎proposal for STAT946 (Deep Learning) final projects Fall 2015 ‎[7,533 bytes]
94. (hist) ‎Wide and Deep Learning for Recommender Systems ‎[7,762 bytes]
95. (hist) ‎measuring statistical dependence with Hilbert-Schmidt norms ‎[7,804 bytes]
96. (hist) ‎U-Time:A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging Summary ‎[8,051 bytes]
97. (hist) ‎contributions on Context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis ‎[8,071 bytes]
98. (hist) ‎Bayesian Network as a Decision Tool for Predicting ALS Disease ‎[8,088 bytes]
99. (hist) ‎hierarchical Dirichlet Processes ‎[8,178 bytes]
100. (hist) ‎on the Number of Linear Regions of Deep Neural Networks ‎[8,398 bytes]
101. (hist) ‎generating Random Numbers ‎[8,400 bytes]
102. (hist) ‎deep Learning of the tissue-regulated splicing code ‎[8,523 bytes]
103. (hist) ‎Unsupervised Machine Translation Using Monolingual Corpora Only ‎[8,547 bytes]
104. (hist) ‎stat441F21 ‎[8,574 bytes]
105. (hist) ‎Dynamic Routing Between Capsulesl ‎[8,625 bytes]
106. (hist) ‎a Rank Minimization Heuristic with Application to Minimum Order System Approximation ‎[8,679 bytes]
107. (hist) ‎adaptive dimension reduction for clustering high dimensional data ‎[8,820 bytes]
108. (hist) ‎decentralised Data Fusion: A Graphical Model Approach (Summary) ‎[8,861 bytes]
109. (hist) ‎STAT946F20/BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding ‎[8,936 bytes]
110. (hist) ‎deep Sparse Rectifier Neural Networks ‎[8,983 bytes]
111. (hist) ‎cardinality Restricted Boltzmann Machines ‎[9,174 bytes]
112. (hist) ‎parametric Local Metric Learning for Nearest Neighbor Classification ‎[9,358 bytes]
113. (hist) ‎Research on Multiple Classification Based on Improved SVM Algorithm for Balanced Binary Decision Tree ‎[9,395 bytes]
114. (hist) ‎Robust Probabilistic Modeling with Bayesian Data Reweighting ‎[9,400 bytes]
115. (hist) ‎positive Semidefinite Metric Learning Using Boosting-like Algorithms ‎[9,507 bytes]
116. (hist) ‎stat946w18 ‎[9,537 bytes]
117. (hist) ‎Don't Just Blame Over-parametrization ‎[9,544 bytes]
118. (hist) ‎Going Deeper with Convolutions ‎[9,580 bytes]
119. (hist) ‎strategies for Training Large Scale Neural Network Language Models ‎[9,641 bytes]
120. (hist) ‎semi-supervised Learning with Deep Generative Models ‎[9,651 bytes]
121. (hist) ‎video-based face recognition using Adaptive HMM ‎[9,786 bytes]
122. (hist) ‎Another look at distance-weighted discrimination ‎[9,801 bytes]
123. (hist) ‎test ‎[9,812 bytes]
124. (hist) ‎This Looks Like That: Deep Learning for Interpretable Image Recognition ‎[9,951 bytes]
125. (hist) ‎f17Stat946PaperSignUp ‎[9,982 bytes]
126. (hist) ‎Depthwise Convolution Is All You Need for Learning Multiple Visual Domains ‎[10,043 bytes]
127. (hist) ‎kernel Spectral Clustering for Community Detection in Complex Networks ‎[10,246 bytes]
128. (hist) ‎context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis ‎[10,381 bytes]
129. (hist) ‎stat841F18/ ‎[10,578 bytes]
130. (hist) ‎Learning The Difference That Makes A Difference With Counterfactually-Augmented Data ‎[10,629 bytes]
131. (hist) ‎hamming Distance Metric Learning ‎[10,708 bytes]
132. (hist) ‎Representations of Words and Phrases and their Compositionality ‎[10,739 bytes]
133. (hist) ‎Poison Frogs Neural Networks ‎[10,842 bytes]
134. (hist) ‎deep Convolutional Neural Networks For LVCSR ‎[10,860 bytes]
135. (hist) ‎mULTIPLE OBJECT RECOGNITION WITH VISUAL ATTENTION ‎[10,935 bytes]
136. (hist) ‎a Dynamic Bayesian Network Click Model for Web Search Ranking ‎[10,982 bytes]
137. (hist) ‎Augmix: New Data Augmentation method to increase the robustness of the algorithm ‎[11,257 bytes]
138. (hist) ‎A Knowledge-Grounded Neural Conversation Model ‎[11,272 bytes]
139. (hist) ‎A Game Theoretic Approach to Class-wise Selective Rationalization ‎[11,317 bytes]
140. (hist) ‎very Deep Convoloutional Networks for Large-Scale Image Recognition ‎[11,457 bytes]
141. (hist) ‎GradientLess Descent ‎[11,517 bytes]
142. (hist) ‎f15Stat946PaperSignUp ‎[11,589 bytes]
143. (hist) ‎maximum-Margin Matrix Factorization ‎[11,779 bytes]
144. (hist) ‎deep Generative Stochastic Networks Trainable by Backprop ‎[11,830 bytes]
145. (hist) ‎nonparametric Latent Feature Models for Link Prediction ‎[11,861 bytes]
146. (hist) ‎learning Phrase Representations ‎[11,920 bytes]
147. (hist) ‎graph Laplacian Regularization for Larg-Scale Semidefinite Programming ‎[11,952 bytes]
148. (hist) ‎neural Turing Machines ‎[11,991 bytes]
149. (hist) ‎CRITICAL ANALYSIS OF SELF-SUPERVISION ‎[11,995 bytes]
150. (hist) ‎stat441w18/Saliency-based Sequential Image Attention with Multiset Prediction ‎[12,037 bytes]