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  1. Influenza Forecasting Framework based on Gaussian processes Summary‏‎ (1 revision)
  2. stat946w18/Hierarchical Representations for Efficient Architecture Search‏‎ (1 revision)
  3. stat946F20/GradientLess Descent‏‎ (1 revision)
  4. Improving neural networks by preventing co-adaption of feature detectors 2020 Fall‏‎ (1 revision)
  5. stat946w18/Spectral‏‎ (1 revision)
  6. Breaking the Softmax Bottleneck: A High-Rank RNN Language Model‏‎ (1 revision)
  7. ModelFramework.jpg‏‎ (1 revision)
  8. test‏‎ (1 revision)
  9. time-series-using-GAN‏‎ (1 revision)
  10. Meta-Learning-For-Domain Generalization‏‎ (1 revision)
  11. stat946w18/‏‎ (1 revision)
  12. Research on Multiple Classification Based on Improved SVM Algorithm for Balanced Binary Decision Tree‏‎ (1 revision)
  13. Don't Just Blame Over-parametrization Summary‏‎ (1 revision)
  14. Deep Learning for Extreme Multi-label Text Classification‏‎ (1 revision)
  15. Pre-Training-Tasks-For-Embedding-Based-Large-Scale-Retrieval‏‎ (1 revision)
  16. copyofstat341‏‎ (2 revisions)
  17. stat946f15/Deep neural networks for acoustic modeling in speech recognition‏‎ (2 revisions)
  18. proof of Lemma 1‏‎ (2 revisions)
  19. link to my paper‏‎ (2 revisions)
  20. proof‏‎ (2 revisions)
  21. video-Based Face Recognition Using Adaptive Hidden Markov Models‏‎ (2 revisions)
  22. 13Stat946papers‏‎ (2 revisions)
  23. maximum Variance Unfolding (June 2 2009)‏‎ (2 revisions)
  24. monte Carlo methods‏‎ (2 revisions)
  25. infoboxtest‏‎ (2 revisions)
  26. Imagination Augmented Agents for Deep Reinforcement Learning‏‎ (2 revisions)
  27. ALBERT‏‎ (2 revisions)
  28. deflation Method for Penalized Matrix Decomposition Sparse PCA‏‎ (2 revisions)
  29. Bsodjahi‏‎ (2 revisions)
  30. Deep Transfer Learning with Joint Adaptation Networks‏‎ (2 revisions)
  31. Curiosity-driven Exploration by Self-supervised Prediction‏‎ (2 revisions)
  32. mark your contribution here‏‎ (2 revisions)
  33. generating Random Numbers‏‎ (3 revisions)
  34. Do Vision Transformers See Like CNN‏‎ (3 revisions)
  35. stat946f17‏‎ (3 revisions)
  36. acceptance-Rejection Sampling‏‎ (3 revisions)
  37. techniques for Normal and Gamma Sampling‏‎ (3 revisions)
  38. Proposal for STAT946 (Deep Learning) final projects Fall 2017‏‎ (3 revisions)
  39. sandbox to test w2l‏‎ (3 revisions)
  40. deepGenerativeModels‏‎ (3 revisions)
  41. quantifying cancer progression with conjunctive Bayesian networks‏‎ (3 revisions)
  42. wikicoursenote:cleanup‏‎ (3 revisions)
  43. mark Your Contribution here‏‎ (3 revisions)
  44. binomial Probability Monte Carlo Sampling June 2 2009‏‎ (3 revisions)
  45. importance Sampling June 2 2009‏‎ (4 revisions)
  46. is Multinomial PCA Multi-faceted Clustering or Dimensionality Reduction‏‎ (4 revisions)
  47. stat946f11pool‏‎ (4 revisions)
  48. Another look at distance-weighted discrimination‏‎ (4 revisions)
  49. test1‏‎ (4 revisions)
  50. wikicoursenote:Manual of Style‏‎ (4 revisions)
  51. learning2reasoning‏‎ (4 revisions)
  52. stat946-Fall 2010‏‎ (5 revisions)
  53. singular Value Decomposition(SVD)‏‎ (5 revisions)
  54. proof of Theorem 1‏‎ (5 revisions)
  55. again on Markov Chain‏‎ (5 revisions)
  56. Hash Embeddings for Efficient Word Representations‏‎ (5 revisions)
  57. tRIAL for that odd behaviour‏‎ (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. f11Stat946papers‏‎ (18 revisions)
  81. Robust Probabilistic Modeling with Bayesian Data Reweighting‏‎ (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. deep Learning of the tissue-regulated splicing code‏‎ (22 revisions)
  91. a fast learning algorithm for deep belief nets‏‎ (22 revisions)
  92. decentralised Data Fusion: A Graphical Model Approach (Summary)‏‎ (22 revisions)
  93. s13Stat946proposal‏‎ (22 revisions)
  94. cardinality Restricted Boltzmann Machines‏‎ (22 revisions)
  95. stat946w18/Towards Image Understanding From Deep Compression Without Decoding‏‎ (22 revisions)
  96. Wide and Deep Learning for Recommender Systems‏‎ (23 revisions)
  97. measuring statistical dependence with Hilbert-Schmidt norms‏‎ (23 revisions)
  98. extracting and Composing Robust Features with Denoising Autoencoders‏‎ (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)
  101. very Deep Convoloutional Networks for Large-Scale Image Recognition‏‎ (24 revisions)
  102. context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis‏‎ (24 revisions)
  103. dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces‏‎ (25 revisions)
  104. imageNet Classification with Deep Convolutional Neural Networks‏‎ (25 revisions)
  105. Learning The Difference That Makes A Difference With Counterfactually-Augmented Data‏‎ (25 revisions)
  106. paper Summaries‏‎ (25 revisions)
  107. Dynamic Routing Between Capsulesl‏‎ (26 revisions)
  108. proposal for STAT946 (Deep Learning) final projects Fall 2015‏‎ (26 revisions)
  109. The Detection of Black Ice Accidents Using CNNs‏‎ (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. deep Convolutional Neural Networks For LVCSR‏‎ (29 revisions)
  115. genetics‏‎ (29 revisions)
  116. Going Deeper with Convolutions‏‎ (30 revisions)
  117. deep Generative Stochastic Networks Trainable by Backprop‏‎ (30 revisions)
  118. DCN plus: Mixed Objective And Deep Residual Coattention for Question Answering‏‎ (30 revisions)
  119. metric and Kernel Learning Using a Linear Transformation‏‎ (30 revisions)
  120. STAT946F17/ Automated Curriculum Learning for Neural Networks‏‎ (31 revisions)
  121. f11stat946EditorSignUp‏‎ (31 revisions)
  122. Deep Double Descent Where Bigger Models and More Data Hurt‏‎ (31 revisions)
  123. stat841F18/‏‎ (31 revisions)
  124. joint training of a convolutional network and a graphical model for human pose estimation‏‎ (32 revisions)
  125. distributed Representations of Words and Phrases and their Compositionality‏‎ (32 revisions)
  126. compressive Sensing (Candes)‏‎ (32 revisions)
  127. contributions on Context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis‏‎ (32 revisions)
  128. learning Phrase Representations‏‎ (32 revisions)
  129. natural language processing (almost) from scratch.‏‎ (33 revisions)
  130. f11Stat946ass‏‎ (33 revisions)
  131. stat946w18/Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolutional Layers‏‎ (33 revisions)
  132. maximum likelihood estimation of intrinsic dimension‏‎ (33 revisions)
  133. memory Networks‏‎ (34 revisions)
  134. Representations of Words and Phrases and their Compositionality‏‎ (35 revisions)
  135. schedule of Project Presentations‏‎ (35 revisions)
  136. large-Scale Supervised Sparse Principal Component Analysis‏‎ (35 revisions)
  137. deep Sparse Rectifier Neural Networks‏‎ (35 revisions)
  138. Predicting Hurricane Trajectories Using a Recurrent Neural Network‏‎ (35 revisions)
  139. dropout‏‎ (35 revisions)
  140. positive Semidefinite Metric Learning Using Boosting-like Algorithms‏‎ (35 revisions)
  141. statf09841Proposal‏‎ (36 revisions)
  142. scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Machines‏‎ (36 revisions)
  143. Automatic Bank Fraud Detection Using Support Vector Machines‏‎ (36 revisions)
  144. neural Turing Machines‏‎ (37 revisions)
  145. graphical models for structured classification, with an application to interpreting images of protein subcellular location patterns‏‎ (37 revisions)
  146. strategies for Training Large Scale Neural Network Language Models‏‎ (37 revisions)
  147. F18-STAT946-Proposal‏‎ (37 revisions)
  148. Poison Frogs Neural Networks‏‎ (38 revisions)
  149. kernel Dimension Reduction in Regression‏‎ (38 revisions)
  150. Training And Inference with Integers in Deep Neural Networks‏‎ (38 revisions)
  151. stat441w18/e-gan‏‎ (39 revisions)
  152. stat946w18/Implicit Causal Models for Genome-wide Association Studies‏‎ (39 revisions)
  153. This Looks Like That: Deep Learning for Interpretable Image Recognition‏‎ (40 revisions)
  154. Neural Audio Synthesis of Musical Notes with WaveNet autoencoders‏‎ (40 revisions)
  155. an HDP-HMM for Systems with State Persistence‏‎ (41 revisions)
  156. semi-supervised Learning with Deep Generative Models‏‎ (41 revisions)
  157. graves et al., Speech recognition with deep recurrent neural networks‏‎ (41 revisions)
  158. STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN‏‎ (41 revisions)
  159. show, Attend and Tell: Neural Image Caption Generation with Visual Attention‏‎ (41 revisions)
  160. U-Time:A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging Summary‏‎ (41 revisions)
  161. Co-Teaching‏‎ (42 revisions)
  162. matrix Completion with Noise‏‎ (42 revisions)
  163. Robust Imitation Learning from Noisy Demonstrations‏‎ (42 revisions)
  164. Pixels to Graphs by Associative Embedding‏‎ (43 revisions)
  165. Robust Imitation of Diverse Behaviors‏‎ (43 revisions)
  166. proposal for STAT946 projects‏‎ (43 revisions)
  167. parametric Local Metric Learning for Nearest Neighbor Classification‏‎ (43 revisions)
  168. schedule‏‎ (44 revisions)
  169. SuperGLUE‏‎ (44 revisions)
  170. Model Agnostic Learning of Semantic Features‏‎ (44 revisions)
  171. on the difficulty of training recurrent neural networks‏‎ (45 revisions)
  172. continuous space language models‏‎ (45 revisions)
  173. Do Deep Neural Networks Suffer from Crowding‏‎ (45 revisions)
  174. hierarchical Dirichlet Processes‏‎ (45 revisions)
  175. stat946w18/Self Normalizing Neural Networks‏‎ (46 revisions)
  176. Augmix: New Data Augmentation method to increase the robustness of the algorithm‏‎ (46 revisions)
  177. Streaming Bayesian Inference for Crowdsourced Classification‏‎ (46 revisions)
  178. Label-Free Supervision of Neural Networks with Physics and Domain Knowledge‏‎ (46 revisions)
  179. overfeat: integrated recognition, localization and detection using convolutional networks‏‎ (47 revisions)
  180. Time-series Generative Adversarial Networks‏‎ (47 revisions)
  181. STAT946F20/BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding‏‎ (47 revisions)
  182. A Neural Representation of Sketch Drawings‏‎ (47 revisions)
  183. End-to-End Differentiable Adversarial Imitation Learning‏‎ (47 revisions)
  184. Breaking Certified Defenses: Semantic Adversarial Examples With Spoofed Robustness Certificates‏‎ (48 revisions)
  185. THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS‏‎ (48 revisions)
  186. inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method‏‎ (49 revisions)
  187. markov Random Fields for Super-Resolution‏‎ (49 revisions)
  188. stat441w18/mastering-chess-and-shogi-self-play‏‎ (49 revisions)
  189. orthogonal gradient descent for continual learning‏‎ (49 revisions)
  190. Memory-Based Parameter Adaptation‏‎ (49 revisions)
  191. Task Understanding from Confushing Multitask Data‏‎ (50 revisions)
  192. A Bayesian Perspective on Generalization and Stochastic Gradient Descent‏‎ (50 revisions)
  193. the Indian Buffet Process: An Introduction and Review‏‎ (50 revisions)
  194. Dynamic Routing Between Capsules‏‎ (51 revisions)
  195. statf10841Scribe‏‎ (51 revisions)
  196. Multi-scale Dense Networks for Resource Efficient Image Classification‏‎ (52 revisions)
  197. paper 13‏‎ (52 revisions)
  198. nonparametric Latent Feature Models for Link Prediction‏‎ (52 revisions)
  199. parsing natural scenes and natural language with recursive neural networks‏‎ (52 revisions)
  200. MarrNet: 3D Shape Reconstruction via 2.5D Sketches‏‎ (53 revisions)
  201. Don't Just Blame Over-parametrization‏‎ (53 revisions)
  202. adaptive dimension reduction for clustering high dimensional data‏‎ (53 revisions)
  203. On The Convergence Of ADAM And Beyond‏‎ (54 revisions)
  204. Understanding Image Motion with Group Representations‏‎ (54 revisions)
  205. GradientLess Descent‏‎ (54 revisions)
  206. stat946F18/differentiableplasticity‏‎ (55 revisions)
  207. learning Hierarchical Features for Scene Labeling‏‎ (55 revisions)
  208. a fair comparison of graph neural networks for graph classification‏‎ (55 revisions)
  209. End to end Active Object Tracking via Reinforcement Learning‏‎ (55 revisions)
  210. kernelized Locality-Sensitive Hashing‏‎ (56 revisions)
  211. sparse PCA‏‎ (56 revisions)
  212. Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction‏‎ (56 revisions)
  213. stat441w18/A New Method of Region Embedding for Text Classification‏‎ (57 revisions)
  214. stat946w18/MaskRNN: Instance Level Video Object Segmentation‏‎ (58 revisions)
  215. residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models‏‎ (58 revisions)
  216. DeepVO Towards end to end visual odometry with deep RNN‏‎ (59 revisions)
  217. f14Stat842EditorSignUp‏‎ (59 revisions)
  218. CatBoost: unbiased boosting with categorical features‏‎ (59 revisions)
  219. Spherical CNNs‏‎ (59 revisions)
  220. f11Stat841presentation‏‎ (59 revisions)
  221. DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION‏‎ (60 revisions)
  222. Dense Passage Retrieval for Open-Domain Question Answering‏‎ (60 revisions)
  223. stat946w18/Synthetic and natural noise both break neural machine translation‏‎ (61 revisions)
  224. deep neural networks for acoustic modeling in speech recognition‏‎ (61 revisions)
  225. signupformStat341F11‏‎ (61 revisions)
  226. STAT946F17/Conditional Image Generation with PixelCNN Decoders‏‎ (61 revisions)
  227. neighbourhood Components Analysis‏‎ (62 revisions)
  228. the Wake-Sleep Algorithm for Unsupervised Neural Networks‏‎ (62 revisions)
  229. One-Shot Imitation Learning‏‎ (62 revisions)
  230. FeUdal Networks for Hierarchical Reinforcement Learning‏‎ (63 revisions)
  231. compressed Sensing Reconstruction via Belief Propagation‏‎ (64 revisions)
  232. contributions on Quantifying Cancer Progression with Conjunctive Bayesian Networks‏‎ (64 revisions)
  233. Deep Exploration via Bootstrapped DQN‏‎ (64 revisions)
  234. video-based face recognition using Adaptive HMM‏‎ (65 revisions)
  235. statf09841Scribe‏‎ (65 revisions)
  236. visualizing Data using t-SNE‏‎ (66 revisions)
  237. Wavelet Pooling CNN‏‎ (66 revisions)
  238. proposal for STAT946 projects Fall 2010‏‎ (66 revisions)
  239. A universal SNP and small-indel variant caller using deep neural networks‏‎ (67 revisions)
  240. Adversarial Fisher Vectors for Unsupervised Representation Learning‏‎ (67 revisions)
  241. BERTScore: Evaluating Text Generation with BERT‏‎ (67 revisions)
  242. Learning to Teach‏‎ (67 revisions)
  243. stat946w18/Wavelet Pooling For Convolutional Neural Networks‏‎ (67 revisions)
  244. policy optimization with demonstrations‏‎ (68 revisions)
  245. Extreme Multi-label Text Classification‏‎ (68 revisions)
  246. ALBERT: A Lite BERT for Self-supervised Learning of Language Representations‏‎ (69 revisions)
  247. Reinforcement Learning of Theorem Proving‏‎ (69 revisions)
  248. human-level control through deep reinforcement learning‏‎ (69 revisions)
  249. One-Shot Object Detection with Co-Attention and Co-Excitation‏‎ (69 revisions)
  250. Annotating Object Instances with a Polygon RNN‏‎ (71 revisions)
  251. goingDeeperWithConvolutions‏‎ (71 revisions)
  252. schedule946‏‎ (71 revisions)
  253. stat946w18/AmbientGAN: Generative Models from Lossy Measurements‏‎ (71 revisions)
  254. stat946f15/Sequence to sequence learning with neural networks‏‎ (72 revisions)
  255. Functional regularisation for continual learning with gaussian processes‏‎ (72 revisions)
  256. Roberta‏‎ (72 revisions)
  257. XGBoost: A Scalable Tree Boosting System‏‎ (73 revisions)
  258. stat946F18/Autoregressive Convolutional Neural Networks for Asynchronous Time Series‏‎ (73 revisions)
  259. Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence‏‎ (73 revisions)
  260. STAT946F17/ Learning Important Features Through Propagating Activation Differences‏‎ (73 revisions)
  261. The Curious Case of Degeneration‏‎ (73 revisions)
  262. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space‏‎ (73 revisions)
  263. STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study‏‎ (73 revisions)
  264. Unsupervised Domain Adaptation with Residual Transfer Networks‏‎ (73 revisions)
  265. relevant Component Analysis‏‎ (73 revisions)
  266. nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization‏‎ (74 revisions)
  267. Hierarchical Representations for Efficient Architecture Search‏‎ (74 revisions)
  268. independent Component Analysis: algorithms and applications‏‎ (75 revisions)
  269. Summary - A Neural Representation of Sketch Drawings‏‎ (75 revisions)
  270. f10 Stat841 digest‏‎ (76 revisions)
  271. Universal Style Transfer via Feature Transforms‏‎ (76 revisions)
  272. Imagination-Augmented Agents for Deep Reinforcement Learning‏‎ (76 revisions)
  273. stat946F18/Beyond Word Importance Contextual Decomposition to Extract Interactions from LSTMs‏‎ (76 revisions)
  274. from Machine Learning to Machine Reasoning‏‎ (77 revisions)
  275. learning Spectral Clustering, With Application To Speech Separation‏‎ (77 revisions)
  276. Meta-Learning For Domain Generalization‏‎ (77 revisions)
  277. Learning What and Where to Draw‏‎ (78 revisions)
  278. maximum-Margin Matrix Factorization‏‎ (79 revisions)
  279. learning a Nonlinear Embedding by Preserving Class Neighborhood Structure‏‎ (80 revisions)
  280. Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling‏‎ (80 revisions)
  281. Being Bayesian about Categorical Probability‏‎ (81 revisions)
  282. Mask RCNN‏‎ (81 revisions)
  283. f11Stat946presentation‏‎ (81 revisions)
  284. Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition‏‎ (81 revisions)
  285. a Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis‏‎ (81 revisions)
  286. f11Stat841proposal‏‎ (82 revisions)
  287. Fix your classifier: the marginal value of training the last weight layer‏‎ (82 revisions)
  288. XGBoost‏‎ (83 revisions)
  289. Convolutional Sequence to Sequence Learning‏‎ (83 revisions)
  290. stat441w18/summary 1‏‎ (83 revisions)
  291. Neural Speed Reading via Skim-RNN‏‎ (84 revisions)
  292. Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness‏‎ (84 revisions)
  293. STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow‏‎ (85 revisions)
  294. F21-STAT 940-Proposal‏‎ (86 revisions)
  295. Wasserstein Auto-encoders‏‎ (86 revisions)
  296. Generating Image Descriptions‏‎ (86 revisions)
  297. supervised Dictionary Learning‏‎ (88 revisions)
  298. Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin‏‎ (88 revisions)
  299. A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques‏‎ (88 revisions)
  300. convex and Semi Nonnegative Matrix Factorization‏‎ (88 revisions)
  301. graph Laplacian Regularization for Larg-Scale Semidefinite Programming‏‎ (88 revisions)
  302. Towards Deep Learning Models Resistant to Adversarial Attacks‏‎ (89 revisions)
  303. stat441w18/Image Question Answering using CNN with Dynamic Parameter Prediction‏‎ (90 revisions)
  304. Evaluating Machine Accuracy on ImageNet‏‎ (90 revisions)
  305. sign up for your presentation‏‎ (91 revisions)
  306. LightRNN: Memory and Computation-Efficient Recurrent Neural Networks‏‎ (92 revisions)
  307. Pre-Training Tasks For Embedding-Based Large-Scale Retrieval‏‎ (92 revisions)
  308. a neural representation of sketch drawings‏‎ (92 revisions)
  309. F18-STAT841-Proposal‏‎ (92 revisions)
  310. Semantic Relation Classification——via Convolution Neural Network‏‎ (92 revisions)
  311. stat946w18/Predicting Floor-Level for 911 Calls with Neural Networks and Smartphone Sensor Data‏‎ (93 revisions)
  312. ShakeDrop Regularization‏‎ (93 revisions)
  313. IPBoost‏‎ (93 revisions)
  314. Searching For Efficient Multi Scale Architectures For Dense Image Prediction‏‎ (95 revisions)
  315. main Page‏‎ (96 revisions)
  316. When Does Self-Supervision Improve Few-Shot Learning?‏‎ (96 revisions)
  317. DETECTING STATISTICAL INTERACTIONS FROM NEURAL NETWORK WEIGHTS‏‎ (96 revisions)
  318. question Answering with Subgraph Embeddings‏‎ (97 revisions)
  319. learning Fast Approximations of Sparse Coding‏‎ (99 revisions)
  320. When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary‏‎ (99 revisions)
  321. a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization‏‎ (99 revisions)
  322. a Dynamic Bayesian Network Click Model for Web Search Ranking‏‎ (101 revisions)
  323. Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias‏‎ (101 revisions)
  324. conditional neural process‏‎ (101 revisions)
  325. MULTI-VIEW DATA GENERATION WITHOUT VIEW SUPERVISION‏‎ (102 revisions)
  326. proposal Fall 2010‏‎ (103 revisions)
  327. One pixel attack for fooling deep neural networks‏‎ (103 revisions)
  328. Summary for survey of neural networked-based cancer prediction models from microarray data‏‎ (103 revisions)
  329. what game are we playing‏‎ (103 revisions)
  330. Neural ODEs‏‎ (104 revisions)
  331. regression on Manifold using Kernel Dimension Reduction‏‎ (104 revisions)
  332. stat441w18/Convolutional Neural Networks for Sentence Classification‏‎ (104 revisions)
  333. a Rank Minimization Heuristic with Application to Minimum Order System Approximation‏‎ (104 revisions)
  334. summary‏‎ (104 revisions)
  335. Deep Residual Learning for Image Recognition‏‎ (105 revisions)
  336. probabilistic Matrix Factorization‏‎ (106 revisions)
  337. "Why Should I Trust You?": Explaining the Predictions of Any Classifier‏‎ (107 revisions)
  338. stat946w18/Spectral normalization for generative adversial network‏‎ (108 revisions)
  339. compressive Sensing‏‎ (109 revisions)
  340. visualizing Similarity Data with a Mixture of Maps‏‎ (110 revisions)
  341. Unsupervised Neural Machine Translation‏‎ (110 revisions)
  342. a Deeper Look into Importance Sampling‏‎ (111 revisions)
  343. self-Taught Learning‏‎ (112 revisions)
  344. Visual Reinforcement Learning with Imagined Goals‏‎ (112 revisions)
  345. f11Stat841EditorSignUp‏‎ (113 revisions)
  346. Fairness Without Demographics in Repeated Loss Minimization‏‎ (114 revisions)
  347. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks‏‎ (115 revisions)
  348. stat441F18‏‎ (115 revisions)
  349. Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms‏‎ (115 revisions)
  350. stat946s13‏‎ (116 revisions)
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  356. STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback‏‎ (122 revisions)
  357. probabilistic PCA with GPLVM‏‎ (123 revisions)
  358. hamming Distance Metric Learning‏‎ (123 revisions)
  359. Dynamic Routing Between Capsules STAT946‏‎ (125 revisions)
  360. consistency of Trace Norm Minimization‏‎ (126 revisions)
  361. stat441w18‏‎ (126 revisions)
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  363. Dialog-based Language Learning‏‎ (128 revisions)
  364. stat441F18/TCNLM‏‎ (130 revisions)
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  366. Surround Vehicle Motion Prediction‏‎ (132 revisions)
  367. Superhuman AI for Multiplayer Poker‏‎ (133 revisions)
  368. Self-Supervised Learning of Pretext-Invariant Representations‏‎ (133 revisions)
  369. CapsuleNets‏‎ (134 revisions)
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  371. Describtion of Text Mining‏‎ (140 revisions)
  372. Synthesizing Programs for Images usingReinforced Adversarial Learning‏‎ (141 revisions)
  373. Influenza Forecasting Framework based on Gaussian Processes‏‎ (141 revisions)
  374. STAT946F17/ Dance Dance Convolution‏‎ (141 revisions)
  375. Adversarial Attacks on Copyright Detection Systems‏‎ (141 revisions)
  376. Countering Adversarial Images Using Input Transformations‏‎ (143 revisions)
  377. Patch Based Convolutional Neural Network for Whole Slide Tissue Image Classification‏‎ (143 revisions)
  378. kernelized Sorting‏‎ (143 revisions)
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  380. Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments‏‎ (145 revisions)
  381. Music Recommender System Based using CRNN‏‎ (145 revisions)
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  383. learn what not to learn‏‎ (152 revisions)
  384. stat946w18/Tensorized LSTMs‏‎ (152 revisions)
  385. multi-Task Feature Learning‏‎ (153 revisions)
  386. F21-STAT 441/841 CM 763-Proposal‏‎ (154 revisions)
  387. Bayesian Network as a Decision Tool for Predicting ALS Disease‏‎ (154 revisions)
  388. Learning to Navigate in Cities Without a Map‏‎ (155 revisions)
  389. a Direct Formulation For Sparse PCA Using Semidefinite Programming‏‎ (156 revisions)
  390. Loss Function Search for Face Recognition‏‎ (158 revisions)
  391. Hierarchical Question-Image Co-Attention for Visual Question Answering‏‎ (158 revisions)
  392. STAT946F17/ Coupled GAN‏‎ (159 revisions)
  393. stat946w18‏‎ (161 revisions)
  394. Modular Multitask Reinforcement Learning with Policy Sketches‏‎ (161 revisions)
  395. From Variational to Deterministic Autoencoders‏‎ (163 revisions)
  396. Predicting Floor Level For 911 Calls with Neural Network and Smartphone Sensor Data‏‎ (165 revisions)
  397. STAT946F17/Decoding with Value Networks for Neural Machine Translation‏‎ (165 revisions)
  398. Speech2Face: Learning the Face Behind a Voice‏‎ (169 revisions)
  399. measuring Statistical Dependence with Hilbert-Schmidt Norm‏‎ (170 revisions)
  400. Graph Structure of Neural Networks‏‎ (172 revisions)
  401. optimal Solutions forSparse Principal Component Analysis‏‎ (177 revisions)
  402. stat946w18/Unsupervised Machine Translation Using Monolingual Corpora Only‏‎ (178 revisions)
  403. f15Stat946PaperSignUp‏‎ (181 revisions)
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  406. f17Stat946PaperSignUp‏‎ (191 revisions)
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  408. Bag of Tricks for Efficient Text Classification‏‎ (195 revisions)
  409. deflation Methods for Sparse PCA‏‎ (204 revisions)
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  423. stat946f10‏‎ (733 revisions)
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  425. stat341 / CM 361‏‎ (1,122 revisions)
  426. stat841f11‏‎ (1,491 revisions)
  427. stat841‏‎ (1,729 revisions)
  428. stat841f14‏‎ (1,887 revisions)
  429. stat841f10‏‎ (2,470 revisions)
  430. stat340s13‏‎ (5,190 revisions)

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