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

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  1. overfeat: integrated recognition, localization and detection using convolutional networks‏‎ (47 revisions)
  2. Time-series Generative Adversarial Networks‏‎ (47 revisions)
  3. Streaming Bayesian Inference for Crowdsourced Classification‏‎ (46 revisions)
  4. Label-Free Supervision of Neural Networks with Physics and Domain Knowledge‏‎ (46 revisions)
  5. stat946w18/Self Normalizing Neural Networks‏‎ (46 revisions)
  6. Augmix: New Data Augmentation method to increase the robustness of the algorithm‏‎ (46 revisions)
  7. on the difficulty of training recurrent neural networks‏‎ (45 revisions)
  8. continuous space language models‏‎ (45 revisions)
  9. Do Deep Neural Networks Suffer from Crowding‏‎ (45 revisions)
  10. hierarchical Dirichlet Processes‏‎ (45 revisions)
  11. Model Agnostic Learning of Semantic Features‏‎ (44 revisions)
  12. schedule‏‎ (44 revisions)
  13. SuperGLUE‏‎ (44 revisions)
  14. proposal for STAT946 projects‏‎ (43 revisions)
  15. parametric Local Metric Learning for Nearest Neighbor Classification‏‎ (43 revisions)
  16. Pixels to Graphs by Associative Embedding‏‎ (43 revisions)
  17. Robust Imitation of Diverse Behaviors‏‎ (43 revisions)
  18. matrix Completion with Noise‏‎ (42 revisions)
  19. Robust Imitation Learning from Noisy Demonstrations‏‎ (42 revisions)
  20. Co-Teaching‏‎ (42 revisions)
  21. graves et al., Speech recognition with deep recurrent neural networks‏‎ (41 revisions)
  22. STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN‏‎ (41 revisions)
  23. show, Attend and Tell: Neural Image Caption Generation with Visual Attention‏‎ (41 revisions)
  24. U-Time:A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging Summary‏‎ (41 revisions)
  25. an HDP-HMM for Systems with State Persistence‏‎ (41 revisions)
  26. semi-supervised Learning with Deep Generative Models‏‎ (41 revisions)
  27. This Looks Like That: Deep Learning for Interpretable Image Recognition‏‎ (40 revisions)
  28. Neural Audio Synthesis of Musical Notes with WaveNet autoencoders‏‎ (40 revisions)
  29. stat441w18/e-gan‏‎ (39 revisions)
  30. stat946w18/Implicit Causal Models for Genome-wide Association Studies‏‎ (39 revisions)
  31. Training And Inference with Integers in Deep Neural Networks‏‎ (38 revisions)
  32. kernel Dimension Reduction in Regression‏‎ (38 revisions)
  33. Poison Frogs Neural Networks‏‎ (38 revisions)
  34. F18-STAT946-Proposal‏‎ (37 revisions)
  35. neural Turing Machines‏‎ (37 revisions)
  36. graphical models for structured classification, with an application to interpreting images of protein subcellular location patterns‏‎ (37 revisions)
  37. strategies for Training Large Scale Neural Network Language Models‏‎ (37 revisions)
  38. scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Machines‏‎ (36 revisions)
  39. Automatic Bank Fraud Detection Using Support Vector Machines‏‎ (36 revisions)
  40. statf09841Proposal‏‎ (36 revisions)
  41. large-Scale Supervised Sparse Principal Component Analysis‏‎ (35 revisions)
  42. deep Sparse Rectifier Neural Networks‏‎ (35 revisions)
  43. Predicting Hurricane Trajectories Using a Recurrent Neural Network‏‎ (35 revisions)
  44. dropout‏‎ (35 revisions)
  45. positive Semidefinite Metric Learning Using Boosting-like Algorithms‏‎ (35 revisions)
  46. Representations of Words and Phrases and their Compositionality‏‎ (35 revisions)
  47. schedule of Project Presentations‏‎ (35 revisions)
  48. memory Networks‏‎ (34 revisions)
  49. f11Stat946ass‏‎ (33 revisions)
  50. stat946w18/Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolutional Layers‏‎ (33 revisions)
  51. maximum likelihood estimation of intrinsic dimension‏‎ (33 revisions)
  52. natural language processing (almost) from scratch.‏‎ (33 revisions)
  53. joint training of a convolutional network and a graphical model for human pose estimation‏‎ (32 revisions)
  54. distributed Representations of Words and Phrases and their Compositionality‏‎ (32 revisions)
  55. contributions on Context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis‏‎ (32 revisions)
  56. compressive Sensing (Candes)‏‎ (32 revisions)
  57. learning Phrase Representations‏‎ (32 revisions)
  58. f11stat946EditorSignUp‏‎ (31 revisions)
  59. Deep Double Descent Where Bigger Models and More Data Hurt‏‎ (31 revisions)
  60. stat841F18/‏‎ (31 revisions)
  61. STAT946F17/ Automated Curriculum Learning for Neural Networks‏‎ (31 revisions)
  62. deep Generative Stochastic Networks Trainable by Backprop‏‎ (30 revisions)
  63. DCN plus: Mixed Objective And Deep Residual Coattention for Question Answering‏‎ (30 revisions)
  64. metric and Kernel Learning Using a Linear Transformation‏‎ (30 revisions)
  65. Going Deeper with Convolutions‏‎ (30 revisions)
  66. genetics‏‎ (29 revisions)
  67. deep Convolutional Neural Networks For LVCSR‏‎ (29 revisions)
  68. A Knowledge-Grounded Neural Conversation Model‏‎ (28 revisions)
  69. Depthwise Convolution Is All You Need for Learning Multiple Visual Domains‏‎ (28 revisions)
  70. neural Machine Translation: Jointly Learning to Align and Translate‏‎ (27 revisions)
  71. learning Long-Range Vision for Autonomous Off-Road Driving‏‎ (27 revisions)
  72. proposal for STAT946 (Deep Learning) final projects Fall 2015‏‎ (26 revisions)
  73. The Detection of Black Ice Accidents Using CNNs‏‎ (26 revisions)
  74. Dynamic Routing Between Capsulesl‏‎ (26 revisions)
  75. paper Summaries‏‎ (25 revisions)
  76. Learning The Difference That Makes A Difference With Counterfactually-Augmented Data‏‎ (25 revisions)
  77. dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces‏‎ (25 revisions)
  78. imageNet Classification with Deep Convolutional Neural Networks‏‎ (25 revisions)
  79. very Deep Convoloutional Networks for Large-Scale Image Recognition‏‎ (24 revisions)
  80. context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis‏‎ (24 revisions)
  81. Unsupervised Machine Translation Using Monolingual Corpora Only‏‎ (24 revisions)
  82. contributions on Video-Based Face Recognition Using Adaptive Hidden Markov Models‏‎ (24 revisions)
  83. Wide and Deep Learning for Recommender Systems‏‎ (23 revisions)
  84. measuring statistical dependence with Hilbert-Schmidt norms‏‎ (23 revisions)
  85. extracting and Composing Robust Features with Denoising Autoencoders‏‎ (23 revisions)
  86. decentralised Data Fusion: A Graphical Model Approach (Summary)‏‎ (22 revisions)
  87. s13Stat946proposal‏‎ (22 revisions)
  88. cardinality Restricted Boltzmann Machines‏‎ (22 revisions)
  89. stat946w18/Towards Image Understanding From Deep Compression Without Decoding‏‎ (22 revisions)
  90. deep Learning of the tissue-regulated splicing code‏‎ (22 revisions)
  91. a fast learning algorithm for deep belief nets‏‎ (22 revisions)
  92. learning Convolutional Feature Hierarchies for Visual Recognition‏‎ (21 revisions)
  93. generating text with recurrent neural networks‏‎ (21 revisions)
  94. stat441w18/Saliency-based Sequential Image Attention with Multiset Prediction‏‎ (21 revisions)
  95. Convolutional neural network for diagnosis of viral pneumonia and COVID-19 alike diseases‏‎ (21 revisions)
  96. rOBPCA: A New Approach to Robust Principal Component Analysis‏‎ (21 revisions)
  97. Summary of A Probabilistic Approach to Neural Network Pruning‏‎ (21 revisions)
  98. incremental Learning, Clustering and Hierarchy Formation of Whole Body Motion Patterns using Adaptive Hidden Markov Chains(Summary)‏‎ (20 revisions)
  99. kernel Spectral Clustering for Community Detection in Complex Networks‏‎ (20 revisions)
  100. Robust Probabilistic Modeling with Bayesian Data Reweighting‏‎ (18 revisions)
  101. f11Stat946papers‏‎ (18 revisions)
  102. Traffic Sign Recognition System (TSRS): SVM and Convolutional Neural Network‏‎ (17 revisions)
  103. A Game Theoretic Approach to Class-wise Selective Rationalization‏‎ (17 revisions)
  104. stat441F18/YOLO‏‎ (16 revisions)
  105. mULTIPLE OBJECT RECOGNITION WITH VISUAL ATTENTION‏‎ (15 revisions)
  106. Convolutional Neural Networks for Sentence Classification‏‎ (14 revisions)
  107. a Dynamic Bayesian Network Click Model for web search ranking‏‎ (13 revisions)
  108. on using very large target vocabulary for neural machine translation‏‎ (13 revisions)
  109. the loss surfaces of multilayer networks (Choromanska et al.)‏‎ (12 revisions)
  110. deep Neural Nets as a Method for Quantitative Structure–Activity Relationships‏‎ (12 revisions)
  111. Deep Residual Learning for Image Recognition Summary‏‎ (11 revisions)
  112. monte Carlo Integration‏‎ (10 revisions)
  113. markov Chain Definitions‏‎ (9 revisions)
  114. quantifying cancer progression with conjunctive Bayesian networks.‏‎ (8 revisions)
  115. measuring and testing dependence by correlation of distances‏‎ (8 revisions)
  116. bayesian and Frequentist Schools of Thought‏‎ (7 revisions)
  117. Batch Normalization‏‎ (7 revisions)
  118. importance Sampling and Monte Carlo Simulation‏‎ (7 revisions)
  119. importance Sampling and Markov Chain Monte Carlo (MCMC)‏‎ (7 revisions)
  120. on the Number of Linear Regions of Deep Neural Networks‏‎ (7 revisions)
  121. stat946f15‏‎ (7 revisions)
  122. the Manifold Tangent Classifier‏‎ (6 revisions)
  123. Batch Normalization Summary‏‎ (6 revisions)
  124. Hash Embeddings for Efficient Word Representations‏‎ (5 revisions)
  125. tRIAL for that odd behaviour‏‎ (5 revisions)
  126. stat946-Fall 2010‏‎ (5 revisions)
  127. singular Value Decomposition(SVD)‏‎ (5 revisions)
  128. proof of Theorem 1‏‎ (5 revisions)
  129. again on Markov Chain‏‎ (5 revisions)
  130. test1‏‎ (4 revisions)
  131. Another look at distance-weighted discrimination‏‎ (4 revisions)
  132. wikicoursenote:Manual of Style‏‎ (4 revisions)
  133. learning2reasoning‏‎ (4 revisions)
  134. importance Sampling June 2 2009‏‎ (4 revisions)
  135. is Multinomial PCA Multi-faceted Clustering or Dimensionality Reduction‏‎ (4 revisions)
  136. stat946f11pool‏‎ (4 revisions)
  137. techniques for Normal and Gamma Sampling‏‎ (3 revisions)
  138. Proposal for STAT946 (Deep Learning) final projects Fall 2017‏‎ (3 revisions)
  139. sandbox to test w2l‏‎ (3 revisions)
  140. deepGenerativeModels‏‎ (3 revisions)
  141. quantifying cancer progression with conjunctive Bayesian networks‏‎ (3 revisions)
  142. wikicoursenote:cleanup‏‎ (3 revisions)
  143. mark Your Contribution here‏‎ (3 revisions)
  144. binomial Probability Monte Carlo Sampling June 2 2009‏‎ (3 revisions)
  145. generating Random Numbers‏‎ (3 revisions)
  146. Do Vision Transformers See Like CNN‏‎ (3 revisions)
  147. stat946f17‏‎ (3 revisions)
  148. acceptance-Rejection Sampling‏‎ (3 revisions)
  149. maximum Variance Unfolding (June 2 2009)‏‎ (2 revisions)
  150. monte Carlo methods‏‎ (2 revisions)
  151. infoboxtest‏‎ (2 revisions)
  152. Imagination Augmented Agents for Deep Reinforcement Learning‏‎ (2 revisions)
  153. ALBERT‏‎ (2 revisions)
  154. deflation Method for Penalized Matrix Decomposition Sparse PCA‏‎ (2 revisions)
  155. Bsodjahi‏‎ (2 revisions)
  156. Deep Transfer Learning with Joint Adaptation Networks‏‎ (2 revisions)
  157. Curiosity-driven Exploration by Self-supervised Prediction‏‎ (2 revisions)
  158. mark your contribution here‏‎ (2 revisions)
  159. copyofstat341‏‎ (2 revisions)
  160. stat946f15/Deep neural networks for acoustic modeling in speech recognition‏‎ (2 revisions)
  161. proof of Lemma 1‏‎ (2 revisions)
  162. link to my paper‏‎ (2 revisions)
  163. proof‏‎ (2 revisions)
  164. video-Based Face Recognition Using Adaptive Hidden Markov Models‏‎ (2 revisions)
  165. 13Stat946papers‏‎ (2 revisions)
  166. test‏‎ (1 revision)
  167. time-series-using-GAN‏‎ (1 revision)
  168. Meta-Learning-For-Domain Generalization‏‎ (1 revision)
  169. stat946w18/‏‎ (1 revision)
  170. Don't Just Blame Over-parametrization Summary‏‎ (1 revision)
  171. Research on Multiple Classification Based on Improved SVM Algorithm for Balanced Binary Decision Tree‏‎ (1 revision)
  172. Deep Learning for Extreme Multi-label Text Classification‏‎ (1 revision)
  173. Pre-Training-Tasks-For-Embedding-Based-Large-Scale-Retrieval‏‎ (1 revision)
  174. Influenza Forecasting Framework based on Gaussian processes Summary‏‎ (1 revision)
  175. stat946w18/Hierarchical Representations for Efficient Architecture Search‏‎ (1 revision)
  176. stat946F20/GradientLess Descent‏‎ (1 revision)
  177. Improving neural networks by preventing co-adaption of feature detectors 2020 Fall‏‎ (1 revision)
  178. stat946w18/Spectral‏‎ (1 revision)
  179. Breaking the Softmax Bottleneck: A High-Rank RNN Language Model‏‎ (1 revision)
  180. ModelFramework.jpg‏‎ (1 revision)

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