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  1. infoboxtest‏‎ (2 revisions)
  2. stat946‏‎ (2 revisions - redirect page)
  3. Curiosity-driven Exploration by Self-supervised Prediction‏‎ (2 revisions)
  4. monte Carlo methods‏‎ (2 revisions)
  5. stat946f15/Deep neural networks for acoustic modeling in speech recognition‏‎ (2 revisions)
  6. maximum Variance Unfolding (June 2 2009)‏‎ (2 revisions)
  7. proof‏‎ (2 revisions)
  8. link to my paper‏‎ (2 revisions)
  9. proof of Lemma 1‏‎ (2 revisions)
  10. regression on Manifolds Using Kernel Dimension Reduction‏‎ (2 revisions - redirect page)
  11. Imagination Augmented Agents for Deep Reinforcement Learning‏‎ (2 revisions)
  12. deflation Method for Penalized Matrix Decomposition Sparse PCA‏‎ (2 revisions)
  13. cm361‏‎ (2 revisions - redirect page)
  14. 13Stat946papers‏‎ (2 revisions)
  15. Deep Transfer Learning with Joint Adaptation Networks‏‎ (2 revisions)
  16. video-Based Face Recognition Using Adaptive Hidden Markov Models‏‎ (2 revisions)
  17. copyofstat341‏‎ (2 revisions)
  18. ALBERT‏‎ (2 revisions)
  19. mark your contribution here‏‎ (2 revisions)
  20. sandbox to test w2l‏‎ (3 revisions)
  21. deepGenerativeModels‏‎ (3 revisions)
  22. acceptance-Rejection Sampling‏‎ (3 revisions)
  23. quantifying cancer progression with conjunctive Bayesian networks‏‎ (3 revisions)
  24. stat341‏‎ (3 revisions - redirect page)
  25. wikicoursenote:cleanup‏‎ (3 revisions)
  26. generating Random Numbers‏‎ (3 revisions)
  27. stat946f17‏‎ (3 revisions)
  28. binomial Probability Monte Carlo Sampling June 2 2009‏‎ (3 revisions)
  29. Proposal for STAT946 (Deep Learning) final projects Fall 2017‏‎ (3 revisions)
  30. mark Your Contribution here‏‎ (3 revisions)
  31. techniques for Normal and Gamma Sampling‏‎ (3 revisions)
  32. test1‏‎ (4 revisions)
  33. stat946f11pool‏‎ (4 revisions)
  34. is Multinomial PCA Multi-faceted Clustering or Dimensionality Reduction‏‎ (4 revisions)
  35. wikicoursenote:Manual of Style‏‎ (4 revisions)
  36. importance Sampling June 2 2009‏‎ (4 revisions)
  37. learning2reasoning‏‎ (4 revisions)
  38. stat946-Fall 2010‏‎ (5 revisions)
  39. again on Markov Chain‏‎ (5 revisions)
  40. proof of Theorem 1‏‎ (5 revisions)
  41. tRIAL for that odd behaviour‏‎ (5 revisions)
  42. singular Value Decomposition(SVD)‏‎ (5 revisions)
  43. Hash Embeddings for Efficient Word Representations‏‎ (5 revisions)
  44. the Manifold Tangent Classifier‏‎ (6 revisions)
  45. Batch Normalization Summary‏‎ (6 revisions)
  46. on the Number of Linear Regions of Deep Neural Networks‏‎ (7 revisions)
  47. stat946f15‏‎ (7 revisions)
  48. bayesian and Frequentist Schools of Thought‏‎ (7 revisions)
  49. Batch Normalization‏‎ (7 revisions)
  50. importance Sampling and Markov Chain Monte Carlo (MCMC)‏‎ (7 revisions)
  51. importance Sampling and Monte Carlo Simulation‏‎ (7 revisions)
  52. quantifying cancer progression with conjunctive Bayesian networks.‏‎ (8 revisions)
  53. measuring and testing dependence by correlation of distances‏‎ (8 revisions)
  54. markov Chain Definitions‏‎ (9 revisions)
  55. monte Carlo Integration‏‎ (10 revisions)
  56. the loss surfaces of multilayer networks (Choromanska et al.)‏‎ (12 revisions)
  57. deep Neural Nets as a Method for Quantitative Structure–Activity Relationships‏‎ (12 revisions)
  58. on using very large target vocabulary for neural machine translation‏‎ (13 revisions)
  59. a Dynamic Bayesian Network Click Model for web search ranking‏‎ (13 revisions)
  60. Convolutional Neural Networks for Sentence Classification‏‎ (14 revisions)
  61. mULTIPLE OBJECT RECOGNITION WITH VISUAL ATTENTION‏‎ (15 revisions)
  62. stat441F18/YOLO‏‎ (16 revisions)
  63. Robust Probabilistic Modeling with Bayesian Data Reweighting‏‎ (18 revisions)
  64. f11Stat946papers‏‎ (18 revisions)
  65. kernel Spectral Clustering for Community Detection in Complex Networks‏‎ (20 revisions)
  66. incremental Learning, Clustering and Hierarchy Formation of Whole Body Motion Patterns using Adaptive Hidden Markov Chains(Summary)‏‎ (20 revisions)
  67. learning Convolutional Feature Hierarchies for Visual Recognition‏‎ (21 revisions)
  68. stat441w18/Saliency-based Sequential Image Attention with Multiset Prediction‏‎ (21 revisions)
  69. rOBPCA: A New Approach to Robust Principal Component Analysis‏‎ (21 revisions)
  70. generating text with recurrent neural networks‏‎ (21 revisions)
  71. stat946w18/Towards Image Understanding From Deep Compression Without Decoding‏‎ (22 revisions)
  72. deep Learning of the tissue-regulated splicing code‏‎ (22 revisions)
  73. cardinality Restricted Boltzmann Machines‏‎ (22 revisions)
  74. s13Stat946proposal‏‎ (22 revisions)
  75. a fast learning algorithm for deep belief nets‏‎ (22 revisions)
  76. decentralised Data Fusion: A Graphical Model Approach (Summary)‏‎ (22 revisions)
  77. extracting and Composing Robust Features with Denoising Autoencoders‏‎ (23 revisions)
  78. measuring statistical dependence with Hilbert-Schmidt norms‏‎ (23 revisions)
  79. context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis‏‎ (24 revisions)
  80. Unsupervised Machine Translation Using Monolingual Corpora Only‏‎ (24 revisions)
  81. contributions on Video-Based Face Recognition Using Adaptive Hidden Markov Models‏‎ (24 revisions)
  82. very Deep Convoloutional Networks for Large-Scale Image Recognition‏‎ (24 revisions)
  83. Learning The Difference That Makes A Difference With Counterfactually-Augmented Data‏‎ (25 revisions)
  84. imageNet Classification with Deep Convolutional Neural Networks‏‎ (25 revisions)
  85. paper Summaries‏‎ (25 revisions)
  86. dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces‏‎ (25 revisions)
  87. Dynamic Routing Between Capsulesl‏‎ (26 revisions)
  88. proposal for STAT946 (Deep Learning) final projects Fall 2015‏‎ (26 revisions)
  89. learning Long-Range Vision for Autonomous Off-Road Driving‏‎ (27 revisions)
  90. neural Machine Translation: Jointly Learning to Align and Translate‏‎ (27 revisions)
  91. A Knowledge-Grounded Neural Conversation Model‏‎ (28 revisions)
  92. deep Convolutional Neural Networks For LVCSR‏‎ (29 revisions)
  93. genetics‏‎ (29 revisions)
  94. metric and Kernel Learning Using a Linear Transformation‏‎ (30 revisions)
  95. Going Deeper with Convolutions‏‎ (30 revisions)
  96. deep Generative Stochastic Networks Trainable by Backprop‏‎ (30 revisions)
  97. DCN plus: Mixed Objective And Deep Residual Coattention for Question Answering‏‎ (30 revisions)
  98. f11stat946EditorSignUp‏‎ (31 revisions)
  99. stat841F18/‏‎ (31 revisions)
  100. STAT946F17/ Automated Curriculum Learning for Neural Networks‏‎ (31 revisions)
  101. compressive Sensing (Candes)‏‎ (32 revisions)
  102. distributed Representations of Words and Phrases and their Compositionality‏‎ (32 revisions)
  103. joint training of a convolutional network and a graphical model for human pose estimation‏‎ (32 revisions)
  104. learning Phrase Representations‏‎ (32 revisions)
  105. contributions on Context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis‏‎ (32 revisions)
  106. natural language processing (almost) from scratch.‏‎ (33 revisions)
  107. stat946w18/Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolutional Layers‏‎ (33 revisions)
  108. maximum likelihood estimation of intrinsic dimension‏‎ (33 revisions)
  109. f11Stat946ass‏‎ (33 revisions)
  110. memory Networks‏‎ (34 revisions)
  111. dropout‏‎ (35 revisions)
  112. positive Semidefinite Metric Learning Using Boosting-like Algorithms‏‎ (35 revisions)
  113. schedule of Project Presentations‏‎ (35 revisions)
  114. deep Sparse Rectifier Neural Networks‏‎ (35 revisions)
  115. large-Scale Supervised Sparse Principal Component Analysis‏‎ (35 revisions)
  116. Representations of Words and Phrases and their Compositionality‏‎ (35 revisions)
  117. scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Machines‏‎ (36 revisions)
  118. statf09841Proposal‏‎ (36 revisions)
  119. strategies for Training Large Scale Neural Network Language Models‏‎ (37 revisions)
  120. neural Turing Machines‏‎ (37 revisions)
  121. F18-STAT946-Proposal‏‎ (37 revisions)
  122. graphical models for structured classification, with an application to interpreting images of protein subcellular location patterns‏‎ (37 revisions)
  123. kernel Dimension Reduction in Regression‏‎ (38 revisions)
  124. Training And Inference with Integers in Deep Neural Networks‏‎ (38 revisions)
  125. stat946w18/Implicit Causal Models for Genome-wide Association Studies‏‎ (39 revisions)
  126. stat441w18/e-gan‏‎ (39 revisions)
  127. Neural Audio Synthesis of Musical Notes with WaveNet autoencoders‏‎ (40 revisions)
  128. This Looks Like That: Deep Learning for Interpretable Image Recognition‏‎ (40 revisions)
  129. graves et al., Speech recognition with deep recurrent neural networks‏‎ (41 revisions)
  130. an HDP-HMM for Systems with State Persistence‏‎ (41 revisions)
  131. STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN‏‎ (41 revisions)
  132. semi-supervised Learning with Deep Generative Models‏‎ (41 revisions)
  133. show, Attend and Tell: Neural Image Caption Generation with Visual Attention‏‎ (41 revisions)
  134. matrix Completion with Noise‏‎ (42 revisions)
  135. Co-Teaching‏‎ (42 revisions)
  136. Robust Imitation of Diverse Behaviors‏‎ (43 revisions)
  137. Pixels to Graphs by Associative Embedding‏‎ (43 revisions)
  138. parametric Local Metric Learning for Nearest Neighbor Classification‏‎ (43 revisions)
  139. proposal for STAT946 projects‏‎ (43 revisions)
  140. schedule‏‎ (44 revisions)
  141. Model Agnostic Learning of Semantic Features‏‎ (44 revisions)
  142. SuperGLUE‏‎ (44 revisions)
  143. hierarchical Dirichlet Processes‏‎ (45 revisions)
  144. on the difficulty of training recurrent neural networks‏‎ (45 revisions)
  145. continuous space language models‏‎ (45 revisions)
  146. Do Deep Neural Networks Suffer from Crowding‏‎ (45 revisions)
  147. Augmix: New Data Augmentation method to increase the robustness of the algorithm‏‎ (46 revisions)
  148. Streaming Bayesian Inference for Crowdsourced Classification‏‎ (46 revisions)
  149. Label-Free Supervision of Neural Networks with Physics and Domain Knowledge‏‎ (46 revisions)
  150. stat946w18/Self Normalizing Neural Networks‏‎ (46 revisions)
  151. End-to-End Differentiable Adversarial Imitation Learning‏‎ (47 revisions)
  152. Time-series Generative Adversarial Networks‏‎ (47 revisions)
  153. overfeat: integrated recognition, localization and detection using convolutional networks‏‎ (47 revisions)
  154. STAT946F20/BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding‏‎ (47 revisions)
  155. A Neural Representation of Sketch Drawings‏‎ (47 revisions)
  156. Breaking Certified Defenses: Semantic Adversarial Examples With Spoofed Robustness Certificates‏‎ (48 revisions)
  157. THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS‏‎ (48 revisions)
  158. inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method‏‎ (49 revisions)
  159. markov Random Fields for Super-Resolution‏‎ (49 revisions)
  160. stat441w18/mastering-chess-and-shogi-self-play‏‎ (49 revisions)
  161. orthogonal gradient descent for continual learning‏‎ (49 revisions)
  162. Memory-Based Parameter Adaptation‏‎ (49 revisions)
  163. F20-STAT 946-Proposal‏‎ (50 revisions)
  164. A Bayesian Perspective on Generalization and Stochastic Gradient Descent‏‎ (50 revisions)
  165. the Indian Buffet Process: An Introduction and Review‏‎ (50 revisions)
  166. Task Understanding from Confushing Multitask Data‏‎ (50 revisions)
  167. Dynamic Routing Between Capsules‏‎ (51 revisions)
  168. statf10841Scribe‏‎ (51 revisions)
  169. parsing natural scenes and natural language with recursive neural networks‏‎ (52 revisions)
  170. nonparametric Latent Feature Models for Link Prediction‏‎ (52 revisions)
  171. paper 13‏‎ (52 revisions)
  172. Multi-scale Dense Networks for Resource Efficient Image Classification‏‎ (52 revisions)
  173. MarrNet: 3D Shape Reconstruction via 2.5D Sketches‏‎ (53 revisions)
  174. adaptive dimension reduction for clustering high dimensional data‏‎ (53 revisions)
  175. Understanding Image Motion with Group Representations‏‎ (54 revisions)
  176. On The Convergence Of ADAM And Beyond‏‎ (54 revisions)
  177. GradientLess Descent‏‎ (54 revisions)
  178. learning Hierarchical Features for Scene Labeling‏‎ (55 revisions)
  179. End to end Active Object Tracking via Reinforcement Learning‏‎ (55 revisions)
  180. stat946F18/differentiableplasticity‏‎ (55 revisions)
  181. a fair comparison of graph neural networks for graph classification‏‎ (55 revisions)
  182. sparse PCA‏‎ (56 revisions)
  183. Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction‏‎ (56 revisions)
  184. kernelized Locality-Sensitive Hashing‏‎ (56 revisions)
  185. stat441w18/A New Method of Region Embedding for Text Classification‏‎ (57 revisions)
  186. stat946w18/MaskRNN: Instance Level Video Object Segmentation‏‎ (58 revisions)
  187. residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models‏‎ (58 revisions)
  188. f14Stat842EditorSignUp‏‎ (59 revisions)
  189. Spherical CNNs‏‎ (59 revisions)
  190. f11Stat841presentation‏‎ (59 revisions)
  191. DeepVO Towards end to end visual odometry with deep RNN‏‎ (59 revisions)
  192. Dense Passage Retrieval for Open-Domain Question Answering‏‎ (60 revisions)
  193. DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION‏‎ (60 revisions)
  194. deep neural networks for acoustic modeling in speech recognition‏‎ (61 revisions)
  195. STAT946F17/Conditional Image Generation with PixelCNN Decoders‏‎ (61 revisions)
  196. stat946w18/Synthetic and natural noise both break neural machine translation‏‎ (61 revisions)
  197. signupformStat341F11‏‎ (61 revisions)
  198. the Wake-Sleep Algorithm for Unsupervised Neural Networks‏‎ (62 revisions)
  199. neighbourhood Components Analysis‏‎ (62 revisions)
  200. One-Shot Imitation Learning‏‎ (62 revisions)
  201. FeUdal Networks for Hierarchical Reinforcement Learning‏‎ (63 revisions)
  202. Deep Exploration via Bootstrapped DQN‏‎ (64 revisions)
  203. contributions on Quantifying Cancer Progression with Conjunctive Bayesian Networks‏‎ (64 revisions)
  204. compressed Sensing Reconstruction via Belief Propagation‏‎ (64 revisions)
  205. statf09841Scribe‏‎ (65 revisions)
  206. video-based face recognition using Adaptive HMM‏‎ (65 revisions)
  207. proposal for STAT946 projects Fall 2010‏‎ (66 revisions)
  208. visualizing Data using t-SNE‏‎ (66 revisions)
  209. Wavelet Pooling CNN‏‎ (66 revisions)
  210. stat946w18/Wavelet Pooling For Convolutional Neural Networks‏‎ (67 revisions)
  211. A universal SNP and small-indel variant caller using deep neural networks‏‎ (67 revisions)
  212. BERTScore: Evaluating Text Generation with BERT‏‎ (67 revisions)
  213. Adversarial Fisher Vectors for Unsupervised Representation Learning‏‎ (67 revisions)
  214. Learning to Teach‏‎ (67 revisions)
  215. policy optimization with demonstrations‏‎ (68 revisions)
  216. Extreme Multi-label Text Classification‏‎ (68 revisions)
  217. ALBERT: A Lite BERT for Self-supervised Learning of Language Representations‏‎ (69 revisions)
  218. human-level control through deep reinforcement learning‏‎ (69 revisions)
  219. One-Shot Object Detection with Co-Attention and Co-Excitation‏‎ (69 revisions)
  220. Reinforcement Learning of Theorem Proving‏‎ (69 revisions)
  221. Annotating Object Instances with a Polygon RNN‏‎ (71 revisions)
  222. schedule946‏‎ (71 revisions)
  223. goingDeeperWithConvolutions‏‎ (71 revisions)
  224. stat946w18/AmbientGAN: Generative Models from Lossy Measurements‏‎ (71 revisions)
  225. Roberta‏‎ (72 revisions)
  226. stat946f15/Sequence to sequence learning with neural networks‏‎ (72 revisions)
  227. Functional regularisation for continual learning with gaussian processes‏‎ (72 revisions)
  228. The Curious Case of Degeneration‏‎ (73 revisions)
  229. Unsupervised Domain Adaptation with Residual Transfer Networks‏‎ (73 revisions)
  230. STAT946F17/ Learning Important Features Through Propagating Activation Differences‏‎ (73 revisions)
  231. stat946F18/Autoregressive Convolutional Neural Networks for Asynchronous Time Series‏‎ (73 revisions)
  232. Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence‏‎ (73 revisions)
  233. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space‏‎ (73 revisions)
  234. STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study‏‎ (73 revisions)
  235. relevant Component Analysis‏‎ (73 revisions)
  236. XGBoost: A Scalable Tree Boosting System‏‎ (73 revisions)
  237. nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization‏‎ (74 revisions)
  238. Hierarchical Representations for Efficient Architecture Search‏‎ (74 revisions)
  239. Summary - A Neural Representation of Sketch Drawings‏‎ (75 revisions)
  240. independent Component Analysis: algorithms and applications‏‎ (75 revisions)
  241. Universal Style Transfer via Feature Transforms‏‎ (76 revisions)
  242. f10 Stat841 digest‏‎ (76 revisions)
  243. stat946F18/Beyond Word Importance Contextual Decomposition to Extract Interactions from LSTMs‏‎ (76 revisions)
  244. Imagination-Augmented Agents for Deep Reinforcement Learning‏‎ (76 revisions)
  245. Meta-Learning For Domain Generalization‏‎ (77 revisions)
  246. learning Spectral Clustering, With Application To Speech Separation‏‎ (77 revisions)
  247. from Machine Learning to Machine Reasoning‏‎ (77 revisions)
  248. Learning What and Where to Draw‏‎ (78 revisions)
  249. F20-STAT 441/841 CM 763-Proposal‏‎ (78 revisions)
  250. maximum-Margin Matrix Factorization‏‎ (79 revisions)

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