Pages with the fewest revisions

Showing below up to 100 results in range #31 to #130.

31. infoboxtest‏‎ (2 revisions)
32. Imagination Augmented Agents for Deep Reinforcement Learning‏‎ (2 revisions)
33. wikicoursenote:cleanup‏‎ (3 revisions)
34. mark Your Contribution here‏‎ (3 revisions)
35. binomial Probability Monte Carlo Sampling June 2 2009‏‎ (3 revisions)
36. generating Random Numbers‏‎ (3 revisions)
37. Do Vision Transformers See Like CNN‏‎ (3 revisions)
38. stat946f17‏‎ (3 revisions)
39. acceptance-Rejection Sampling‏‎ (3 revisions)
40. techniques for Normal and Gamma Sampling‏‎ (3 revisions)
41. Proposal for STAT946 (Deep Learning) final projects Fall 2017‏‎ (3 revisions)
42. sandbox to test w2l‏‎ (3 revisions)
43. deepGenerativeModels‏‎ (3 revisions)
44. quantifying cancer progression with conjunctive Bayesian networks‏‎ (3 revisions)
45. wikicoursenote:Manual of Style‏‎ (4 revisions)
46. learning2reasoning‏‎ (4 revisions)
47. importance Sampling June 2 2009‏‎ (4 revisions)
48. is Multinomial PCA Multi-faceted Clustering or Dimensionality Reduction‏‎ (4 revisions)
49. stat946f11pool‏‎ (4 revisions)
50. Another look at distance-weighted discrimination‏‎ (4 revisions)
51. test1‏‎ (4 revisions)
52. tRIAL for that odd behaviour‏‎ (5 revisions)
53. stat946-Fall 2010‏‎ (5 revisions)
54. singular Value Decomposition(SVD)‏‎ (5 revisions)
55. again on Markov Chain‏‎ (5 revisions)
56. proof of Theorem 1‏‎ (5 revisions)
57. Hash Embeddings for Efficient Word Representations‏‎ (5 revisions)
58. Batch Normalization Summary‏‎ (6 revisions)
59. the Manifold Tangent Classifier‏‎ (6 revisions)
60. importance Sampling and Markov Chain Monte Carlo (MCMC)‏‎ (7 revisions)
61. on the Number of Linear Regions of Deep Neural Networks‏‎ (7 revisions)
62. stat946f15‏‎ (7 revisions)
63. bayesian and Frequentist Schools of Thought‏‎ (7 revisions)
64. Batch Normalization‏‎ (7 revisions)
65. importance Sampling and Monte Carlo Simulation‏‎ (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. deep Neural Nets as a Method for Quantitative Structure–Activity Relationships‏‎ (12 revisions)
72. the loss surfaces of multilayer networks (Choromanska et al.)‏‎ (12 revisions)
73. on using very large target vocabulary for neural machine translation‏‎ (13 revisions)
74. a Dynamic Bayesian Network Click Model for web search ranking‏‎ (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. A Game Theoretic Approach to Class-wise Selective Rationalization‏‎ (17 revisions)
79. Traffic Sign Recognition System (TSRS): SVM and Convolutional Neural Network‏‎ (17 revisions)
80. Robust Probabilistic Modeling with Bayesian Data Reweighting‏‎ (18 revisions)
81. f11Stat946papers‏‎ (18 revisions)
82. kernel Spectral Clustering for Community Detection in Complex Networks‏‎ (20 revisions)
83. incremental Learning, Clustering and Hierarchy Formation of Whole Body Motion Patterns using Adaptive Hidden Markov Chains(Summary)‏‎ (20 revisions)
84. generating text with recurrent neural networks‏‎ (21 revisions)
85. stat441w18/Saliency-based Sequential Image Attention with Multiset Prediction‏‎ (21 revisions)
86. Convolutional neural network for diagnosis of viral pneumonia and COVID-19 alike diseases‏‎ (21 revisions)
87. rOBPCA: A New Approach to Robust Principal Component Analysis‏‎ (21 revisions)
88. Summary of A Probabilistic Approach to Neural Network Pruning‏‎ (21 revisions)
89. learning Convolutional Feature Hierarchies for Visual Recognition‏‎ (21 revisions)
90. cardinality Restricted Boltzmann Machines‏‎ (22 revisions)
91. stat946w18/Towards Image Understanding From Deep Compression Without Decoding‏‎ (22 revisions)
92. deep Learning of the tissue-regulated splicing code‏‎ (22 revisions)
93. a fast learning algorithm for deep belief nets‏‎ (22 revisions)
94. decentralised Data Fusion: A Graphical Model Approach (Summary)‏‎ (22 revisions)
95. s13Stat946proposal‏‎ (22 revisions)
96. measuring statistical dependence with Hilbert-Schmidt norms‏‎ (23 revisions)
97. extracting and Composing Robust Features with Denoising Autoencoders‏‎ (23 revisions)
98. Wide and Deep Learning for Recommender Systems‏‎ (23 revisions)
99. context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis‏‎ (24 revisions)
100. Unsupervised Machine Translation Using Monolingual Corpora Only‏‎ (24 revisions)
101. contributions on Video-Based Face Recognition Using Adaptive Hidden Markov Models‏‎ (24 revisions)
102. very Deep Convoloutional Networks for Large-Scale Image Recognition‏‎ (24 revisions)
103. Learning The Difference That Makes A Difference With Counterfactually-Augmented Data‏‎ (25 revisions)
104. paper Summaries‏‎ (25 revisions)
105. dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces‏‎ (25 revisions)
106. imageNet Classification with Deep Convolutional Neural Networks‏‎ (25 revisions)
107. The Detection of Black Ice Accidents Using CNNs‏‎ (26 revisions)
108. Dynamic Routing Between Capsulesl‏‎ (26 revisions)
109. proposal for STAT946 (Deep Learning) final projects Fall 2015‏‎ (26 revisions)
110. learning Long-Range Vision for Autonomous Off-Road Driving‏‎ (27 revisions)
111. neural Machine Translation: Jointly Learning to Align and Translate‏‎ (27 revisions)
112. A Knowledge-Grounded Neural Conversation Model‏‎ (28 revisions)
113. Depthwise Convolution Is All You Need for Learning Multiple Visual Domains‏‎ (28 revisions)
114. genetics‏‎ (29 revisions)
115. deep Convolutional Neural Networks For LVCSR‏‎ (29 revisions)
116. deep Generative Stochastic Networks Trainable by Backprop‏‎ (30 revisions)
117. DCN plus: Mixed Objective And Deep Residual Coattention for Question Answering‏‎ (30 revisions)
118. metric and Kernel Learning Using a Linear Transformation‏‎ (30 revisions)
119. Going Deeper with Convolutions‏‎ (30 revisions)
120. Deep Double Descent Where Bigger Models and More Data Hurt‏‎ (31 revisions)
121. stat841F18/‏‎ (31 revisions)
122. STAT946F17/ Automated Curriculum Learning for Neural Networks‏‎ (31 revisions)
123. f11stat946EditorSignUp‏‎ (31 revisions)
124. contributions on Context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis‏‎ (32 revisions)
125. compressive Sensing (Candes)‏‎ (32 revisions)
126. learning Phrase Representations‏‎ (32 revisions)
127. joint training of a convolutional network and a graphical model for human pose estimation‏‎ (32 revisions)
128. distributed Representations of Words and Phrases and their Compositionality‏‎ (32 revisions)
129. maximum likelihood estimation of intrinsic dimension‏‎ (33 revisions)
130. natural language processing (almost) from scratch.‏‎ (33 revisions)