Pages with the fewest revisions

Showing below up to 100 results in range #1 to #100.

1. Don't Just Blame Over-parametrization Summary‏‎ (1 revision)
2. Research on Multiple Classification Based on Improved SVM Algorithm for Balanced Binary Decision Tree‏‎ (1 revision)
3. Deep Learning for Extreme Multi-label Text Classification‏‎ (1 revision)
4. Pre-Training-Tasks-For-Embedding-Based-Large-Scale-Retrieval‏‎ (1 revision)
5. Influenza Forecasting Framework based on Gaussian processes Summary‏‎ (1 revision)
6. stat946w18/Hierarchical Representations for Efficient Architecture Search‏‎ (1 revision)
7. stat946F20/GradientLess Descent‏‎ (1 revision)
8. Improving neural networks by preventing co-adaption of feature detectors 2020 Fall‏‎ (1 revision)
9. stat946w18/Spectral‏‎ (1 revision)
10. Breaking the Softmax Bottleneck: A High-Rank RNN Language Model‏‎ (1 revision)
11. ModelFramework.jpg‏‎ (1 revision)
12. test‏‎ (1 revision)
13. time-series-using-GAN‏‎ (1 revision)
14. Meta-Learning-For-Domain Generalization‏‎ (1 revision)
15. stat946w18/‏‎ (1 revision)
16. Deep Transfer Learning with Joint Adaptation Networks‏‎ (2 revisions)
17. Curiosity-driven Exploration by Self-supervised Prediction‏‎ (2 revisions)
18. mark your contribution here‏‎ (2 revisions)
19. copyofstat341‏‎ (2 revisions)
20. stat946f15/Deep neural networks for acoustic modeling in speech recognition‏‎ (2 revisions)
21. proof of Lemma 1‏‎ (2 revisions)
22. link to my paper‏‎ (2 revisions)
23. proof‏‎ (2 revisions)
24. video-Based Face Recognition Using Adaptive Hidden Markov Models‏‎ (2 revisions)
25. 13Stat946papers‏‎ (2 revisions)
26. maximum Variance Unfolding (June 2 2009)‏‎ (2 revisions)
27. monte Carlo methods‏‎ (2 revisions)
28. infoboxtest‏‎ (2 revisions)
29. Imagination Augmented Agents for Deep Reinforcement Learning‏‎ (2 revisions)
30. ALBERT‏‎ (2 revisions)
31. deflation Method for Penalized Matrix Decomposition Sparse PCA‏‎ (2 revisions)
32. Bsodjahi‏‎ (2 revisions)
33. mark Your Contribution here‏‎ (3 revisions)
34. binomial Probability Monte Carlo Sampling June 2 2009‏‎ (3 revisions)
35. generating Random Numbers‏‎ (3 revisions)
36. Do Vision Transformers See Like CNN‏‎ (3 revisions)
37. stat946f17‏‎ (3 revisions)
38. acceptance-Rejection Sampling‏‎ (3 revisions)
39. techniques for Normal and Gamma Sampling‏‎ (3 revisions)
40. Proposal for STAT946 (Deep Learning) final projects Fall 2017‏‎ (3 revisions)
41. sandbox to test w2l‏‎ (3 revisions)
42. deepGenerativeModels‏‎ (3 revisions)
43. quantifying cancer progression with conjunctive Bayesian networks‏‎ (3 revisions)
44. wikicoursenote:cleanup‏‎ (3 revisions)
45. learning2reasoning‏‎ (4 revisions)
46. importance Sampling June 2 2009‏‎ (4 revisions)
47. is Multinomial PCA Multi-faceted Clustering or Dimensionality Reduction‏‎ (4 revisions)
48. stat946f11pool‏‎ (4 revisions)
49. test1‏‎ (4 revisions)
50. Another look at distance-weighted discrimination‏‎ (4 revisions)
51. wikicoursenote:Manual of Style‏‎ (4 revisions)
52. tRIAL for that odd behaviour‏‎ (5 revisions)
53. stat946-Fall 2010‏‎ (5 revisions)
54. singular Value Decomposition(SVD)‏‎ (5 revisions)
55. proof of Theorem 1‏‎ (5 revisions)
56. again on Markov Chain‏‎ (5 revisions)
57. Hash Embeddings for Efficient Word Representations‏‎ (5 revisions)
58. the Manifold Tangent Classifier‏‎ (6 revisions)
59. Batch Normalization Summary‏‎ (6 revisions)
60. on the Number of Linear Regions of Deep Neural Networks‏‎ (7 revisions)
61. stat946f15‏‎ (7 revisions)
62. bayesian and Frequentist Schools of Thought‏‎ (7 revisions)
63. Batch Normalization‏‎ (7 revisions)
64. importance Sampling and Monte Carlo Simulation‏‎ (7 revisions)
65. importance Sampling and Markov Chain Monte Carlo (MCMC)‏‎ (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. the loss surfaces of multilayer networks (Choromanska et al.)‏‎ (12 revisions)
72. deep Neural Nets as a Method for Quantitative Structure–Activity Relationships‏‎ (12 revisions)
73. a Dynamic Bayesian Network Click Model for web search ranking‏‎ (13 revisions)
74. on using very large target vocabulary for neural machine translation‏‎ (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. incremental Learning, Clustering and Hierarchy Formation of Whole Body Motion Patterns using Adaptive Hidden Markov Chains(Summary)‏‎ (20 revisions)
83. kernel Spectral Clustering for Community Detection in Complex Networks‏‎ (20 revisions)
84. generating text with recurrent neural networks‏‎ (21 revisions)
85. stat441w18/Saliency-based Sequential Image Attention with Multiset Prediction‏‎ (21 revisions)
86. rOBPCA: A New Approach to Robust Principal Component Analysis‏‎ (21 revisions)
87. Convolutional neural network for diagnosis of viral pneumonia and COVID-19 alike diseases‏‎ (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. stat946w18/Towards Image Understanding From Deep Compression Without Decoding‏‎ (22 revisions)
91. deep Learning of the tissue-regulated splicing code‏‎ (22 revisions)
92. a fast learning algorithm for deep belief nets‏‎ (22 revisions)
93. decentralised Data Fusion: A Graphical Model Approach (Summary)‏‎ (22 revisions)
94. s13Stat946proposal‏‎ (22 revisions)
95. cardinality Restricted Boltzmann Machines‏‎ (22 revisions)
96. extracting and Composing Robust Features with Denoising Autoencoders‏‎ (23 revisions)
97. Wide and Deep Learning for Recommender Systems‏‎ (23 revisions)
98. measuring statistical dependence with Hilbert-Schmidt norms‏‎ (23 revisions)
99. Unsupervised Machine Translation Using Monolingual Corpora Only‏‎ (24 revisions)
100. contributions on Video-Based Face Recognition Using Adaptive Hidden Markov Models‏‎ (24 revisions)