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