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Showing below up to 250 results in range #41 to #290.

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  1. Do Vision Transformers See Like CNN‏‎ (3 revisions)
  2. stat946f17‏‎ (3 revisions)
  3. acceptance-Rejection Sampling‏‎ (3 revisions)
  4. techniques for Normal and Gamma Sampling‏‎ (3 revisions)
  5. wikicoursenote:Manual of Style‏‎ (4 revisions)
  6. learning2reasoning‏‎ (4 revisions)
  7. importance Sampling June 2 2009‏‎ (4 revisions)
  8. is Multinomial PCA Multi-faceted Clustering or Dimensionality Reduction‏‎ (4 revisions)
  9. stat946f11pool‏‎ (4 revisions)
  10. test1‏‎ (4 revisions)
  11. Another look at distance-weighted discrimination‏‎ (4 revisions)
  12. Hash Embeddings for Efficient Word Representations‏‎ (5 revisions)
  13. tRIAL for that odd behaviour‏‎ (5 revisions)
  14. stat946-Fall 2010‏‎ (5 revisions)
  15. singular Value Decomposition(SVD)‏‎ (5 revisions)
  16. proof of Theorem 1‏‎ (5 revisions)
  17. again on Markov Chain‏‎ (5 revisions)
  18. the Manifold Tangent Classifier‏‎ (6 revisions)
  19. Batch Normalization Summary‏‎ (6 revisions)
  20. Batch Normalization‏‎ (7 revisions)
  21. importance Sampling and Monte Carlo Simulation‏‎ (7 revisions)
  22. importance Sampling and Markov Chain Monte Carlo (MCMC)‏‎ (7 revisions)
  23. on the Number of Linear Regions of Deep Neural Networks‏‎ (7 revisions)
  24. stat946f15‏‎ (7 revisions)
  25. bayesian and Frequentist Schools of Thought‏‎ (7 revisions)
  26. measuring and testing dependence by correlation of distances‏‎ (8 revisions)
  27. quantifying cancer progression with conjunctive Bayesian networks.‏‎ (8 revisions)
  28. markov Chain Definitions‏‎ (9 revisions)
  29. monte Carlo Integration‏‎ (10 revisions)
  30. Deep Residual Learning for Image Recognition Summary‏‎ (11 revisions)
  31. the loss surfaces of multilayer networks (Choromanska et al.)‏‎ (12 revisions)
  32. deep Neural Nets as a Method for Quantitative Structure–Activity Relationships‏‎ (12 revisions)
  33. on using very large target vocabulary for neural machine translation‏‎ (13 revisions)
  34. a Dynamic Bayesian Network Click Model for web search ranking‏‎ (13 revisions)
  35. Convolutional Neural Networks for Sentence Classification‏‎ (14 revisions)
  36. mULTIPLE OBJECT RECOGNITION WITH VISUAL ATTENTION‏‎ (15 revisions)
  37. stat441F18/YOLO‏‎ (16 revisions)
  38. Traffic Sign Recognition System (TSRS): SVM and Convolutional Neural Network‏‎ (17 revisions)
  39. A Game Theoretic Approach to Class-wise Selective Rationalization‏‎ (17 revisions)
  40. Robust Probabilistic Modeling with Bayesian Data Reweighting‏‎ (18 revisions)
  41. f11Stat946papers‏‎ (18 revisions)
  42. incremental Learning, Clustering and Hierarchy Formation of Whole Body Motion Patterns using Adaptive Hidden Markov Chains(Summary)‏‎ (20 revisions)
  43. kernel Spectral Clustering for Community Detection in Complex Networks‏‎ (20 revisions)
  44. learning Convolutional Feature Hierarchies for Visual Recognition‏‎ (21 revisions)
  45. generating text with recurrent neural networks‏‎ (21 revisions)
  46. stat441w18/Saliency-based Sequential Image Attention with Multiset Prediction‏‎ (21 revisions)
  47. Convolutional neural network for diagnosis of viral pneumonia and COVID-19 alike diseases‏‎ (21 revisions)
  48. rOBPCA: A New Approach to Robust Principal Component Analysis‏‎ (21 revisions)
  49. Summary of A Probabilistic Approach to Neural Network Pruning‏‎ (21 revisions)
  50. decentralised Data Fusion: A Graphical Model Approach (Summary)‏‎ (22 revisions)
  51. s13Stat946proposal‏‎ (22 revisions)
  52. cardinality Restricted Boltzmann Machines‏‎ (22 revisions)
  53. stat946w18/Towards Image Understanding From Deep Compression Without Decoding‏‎ (22 revisions)
  54. deep Learning of the tissue-regulated splicing code‏‎ (22 revisions)
  55. a fast learning algorithm for deep belief nets‏‎ (22 revisions)
  56. Wide and Deep Learning for Recommender Systems‏‎ (23 revisions)
  57. measuring statistical dependence with Hilbert-Schmidt norms‏‎ (23 revisions)
  58. extracting and Composing Robust Features with Denoising Autoencoders‏‎ (23 revisions)
  59. very Deep Convoloutional Networks for Large-Scale Image Recognition‏‎ (24 revisions)
  60. context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis‏‎ (24 revisions)
  61. Unsupervised Machine Translation Using Monolingual Corpora Only‏‎ (24 revisions)
  62. contributions on Video-Based Face Recognition Using Adaptive Hidden Markov Models‏‎ (24 revisions)
  63. paper Summaries‏‎ (25 revisions)
  64. Learning The Difference That Makes A Difference With Counterfactually-Augmented Data‏‎ (25 revisions)
  65. dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces‏‎ (25 revisions)
  66. imageNet Classification with Deep Convolutional Neural Networks‏‎ (25 revisions)
  67. proposal for STAT946 (Deep Learning) final projects Fall 2015‏‎ (26 revisions)
  68. The Detection of Black Ice Accidents Using CNNs‏‎ (26 revisions)
  69. Dynamic Routing Between Capsulesl‏‎ (26 revisions)
  70. learning Long-Range Vision for Autonomous Off-Road Driving‏‎ (27 revisions)
  71. neural Machine Translation: Jointly Learning to Align and Translate‏‎ (27 revisions)
  72. Depthwise Convolution Is All You Need for Learning Multiple Visual Domains‏‎ (28 revisions)
  73. A Knowledge-Grounded Neural Conversation Model‏‎ (28 revisions)
  74. genetics‏‎ (29 revisions)
  75. deep Convolutional Neural Networks For LVCSR‏‎ (29 revisions)
  76. deep Generative Stochastic Networks Trainable by Backprop‏‎ (30 revisions)
  77. DCN plus: Mixed Objective And Deep Residual Coattention for Question Answering‏‎ (30 revisions)
  78. metric and Kernel Learning Using a Linear Transformation‏‎ (30 revisions)
  79. Going Deeper with Convolutions‏‎ (30 revisions)
  80. f11stat946EditorSignUp‏‎ (31 revisions)
  81. Deep Double Descent Where Bigger Models and More Data Hurt‏‎ (31 revisions)
  82. stat841F18/‏‎ (31 revisions)
  83. STAT946F17/ Automated Curriculum Learning for Neural Networks‏‎ (31 revisions)
  84. distributed Representations of Words and Phrases and their Compositionality‏‎ (32 revisions)
  85. contributions on Context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis‏‎ (32 revisions)
  86. compressive Sensing (Candes)‏‎ (32 revisions)
  87. learning Phrase Representations‏‎ (32 revisions)
  88. joint training of a convolutional network and a graphical model for human pose estimation‏‎ (32 revisions)
  89. maximum likelihood estimation of intrinsic dimension‏‎ (33 revisions)
  90. natural language processing (almost) from scratch.‏‎ (33 revisions)
  91. f11Stat946ass‏‎ (33 revisions)
  92. stat946w18/Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolutional Layers‏‎ (33 revisions)
  93. memory Networks‏‎ (34 revisions)
  94. deep Sparse Rectifier Neural Networks‏‎ (35 revisions)
  95. Predicting Hurricane Trajectories Using a Recurrent Neural Network‏‎ (35 revisions)
  96. dropout‏‎ (35 revisions)
  97. positive Semidefinite Metric Learning Using Boosting-like Algorithms‏‎ (35 revisions)
  98. Representations of Words and Phrases and their Compositionality‏‎ (35 revisions)
  99. schedule of Project Presentations‏‎ (35 revisions)
  100. large-Scale Supervised Sparse Principal Component Analysis‏‎ (35 revisions)
  101. scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Machines‏‎ (36 revisions)
  102. Automatic Bank Fraud Detection Using Support Vector Machines‏‎ (36 revisions)
  103. statf09841Proposal‏‎ (36 revisions)
  104. F18-STAT946-Proposal‏‎ (37 revisions)
  105. neural Turing Machines‏‎ (37 revisions)
  106. graphical models for structured classification, with an application to interpreting images of protein subcellular location patterns‏‎ (37 revisions)
  107. strategies for Training Large Scale Neural Network Language Models‏‎ (37 revisions)
  108. Training And Inference with Integers in Deep Neural Networks‏‎ (38 revisions)
  109. kernel Dimension Reduction in Regression‏‎ (38 revisions)
  110. Poison Frogs Neural Networks‏‎ (38 revisions)
  111. stat441w18/e-gan‏‎ (39 revisions)
  112. stat946w18/Implicit Causal Models for Genome-wide Association Studies‏‎ (39 revisions)
  113. This Looks Like That: Deep Learning for Interpretable Image Recognition‏‎ (40 revisions)
  114. Neural Audio Synthesis of Musical Notes with WaveNet autoencoders‏‎ (40 revisions)
  115. STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN‏‎ (41 revisions)
  116. show, Attend and Tell: Neural Image Caption Generation with Visual Attention‏‎ (41 revisions)
  117. U-Time:A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging Summary‏‎ (41 revisions)
  118. an HDP-HMM for Systems with State Persistence‏‎ (41 revisions)
  119. semi-supervised Learning with Deep Generative Models‏‎ (41 revisions)
  120. graves et al., Speech recognition with deep recurrent neural networks‏‎ (41 revisions)
  121. matrix Completion with Noise‏‎ (42 revisions)
  122. Robust Imitation Learning from Noisy Demonstrations‏‎ (42 revisions)
  123. Co-Teaching‏‎ (42 revisions)
  124. parametric Local Metric Learning for Nearest Neighbor Classification‏‎ (43 revisions)
  125. Pixels to Graphs by Associative Embedding‏‎ (43 revisions)
  126. Robust Imitation of Diverse Behaviors‏‎ (43 revisions)
  127. proposal for STAT946 projects‏‎ (43 revisions)
  128. Model Agnostic Learning of Semantic Features‏‎ (44 revisions)
  129. schedule‏‎ (44 revisions)
  130. SuperGLUE‏‎ (44 revisions)
  131. continuous space language models‏‎ (45 revisions)
  132. Do Deep Neural Networks Suffer from Crowding‏‎ (45 revisions)
  133. hierarchical Dirichlet Processes‏‎ (45 revisions)
  134. on the difficulty of training recurrent neural networks‏‎ (45 revisions)
  135. Streaming Bayesian Inference for Crowdsourced Classification‏‎ (46 revisions)
  136. Label-Free Supervision of Neural Networks with Physics and Domain Knowledge‏‎ (46 revisions)
  137. stat946w18/Self Normalizing Neural Networks‏‎ (46 revisions)
  138. Augmix: New Data Augmentation method to increase the robustness of the algorithm‏‎ (46 revisions)
  139. STAT946F20/BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding‏‎ (47 revisions)
  140. A Neural Representation of Sketch Drawings‏‎ (47 revisions)
  141. End-to-End Differentiable Adversarial Imitation Learning‏‎ (47 revisions)
  142. overfeat: integrated recognition, localization and detection using convolutional networks‏‎ (47 revisions)
  143. Time-series Generative Adversarial Networks‏‎ (47 revisions)
  144. Breaking Certified Defenses: Semantic Adversarial Examples With Spoofed Robustness Certificates‏‎ (48 revisions)
  145. THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS‏‎ (48 revisions)
  146. stat441w18/mastering-chess-and-shogi-self-play‏‎ (49 revisions)
  147. orthogonal gradient descent for continual learning‏‎ (49 revisions)
  148. Memory-Based Parameter Adaptation‏‎ (49 revisions)
  149. inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method‏‎ (49 revisions)
  150. markov Random Fields for Super-Resolution‏‎ (49 revisions)
  151. A Bayesian Perspective on Generalization and Stochastic Gradient Descent‏‎ (50 revisions)
  152. the Indian Buffet Process: An Introduction and Review‏‎ (50 revisions)
  153. Task Understanding from Confushing Multitask Data‏‎ (50 revisions)
  154. statf10841Scribe‏‎ (51 revisions)
  155. Dynamic Routing Between Capsules‏‎ (51 revisions)
  156. parsing natural scenes and natural language with recursive neural networks‏‎ (52 revisions)
  157. nonparametric Latent Feature Models for Link Prediction‏‎ (52 revisions)
  158. Multi-scale Dense Networks for Resource Efficient Image Classification‏‎ (52 revisions)
  159. paper 13‏‎ (52 revisions)
  160. MarrNet: 3D Shape Reconstruction via 2.5D Sketches‏‎ (53 revisions)
  161. Don't Just Blame Over-parametrization‏‎ (53 revisions)
  162. adaptive dimension reduction for clustering high dimensional data‏‎ (53 revisions)
  163. Understanding Image Motion with Group Representations‏‎ (54 revisions)
  164. GradientLess Descent‏‎ (54 revisions)
  165. On The Convergence Of ADAM And Beyond‏‎ (54 revisions)
  166. a fair comparison of graph neural networks for graph classification‏‎ (55 revisions)
  167. End to end Active Object Tracking via Reinforcement Learning‏‎ (55 revisions)
  168. stat946F18/differentiableplasticity‏‎ (55 revisions)
  169. learning Hierarchical Features for Scene Labeling‏‎ (55 revisions)
  170. kernelized Locality-Sensitive Hashing‏‎ (56 revisions)
  171. sparse PCA‏‎ (56 revisions)
  172. Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction‏‎ (56 revisions)
  173. stat441w18/A New Method of Region Embedding for Text Classification‏‎ (57 revisions)
  174. residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models‏‎ (58 revisions)
  175. stat946w18/MaskRNN: Instance Level Video Object Segmentation‏‎ (58 revisions)
  176. Spherical CNNs‏‎ (59 revisions)
  177. f11Stat841presentation‏‎ (59 revisions)
  178. DeepVO Towards end to end visual odometry with deep RNN‏‎ (59 revisions)
  179. f14Stat842EditorSignUp‏‎ (59 revisions)
  180. CatBoost: unbiased boosting with categorical features‏‎ (59 revisions)
  181. Dense Passage Retrieval for Open-Domain Question Answering‏‎ (60 revisions)
  182. DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION‏‎ (60 revisions)
  183. deep neural networks for acoustic modeling in speech recognition‏‎ (61 revisions)
  184. signupformStat341F11‏‎ (61 revisions)
  185. STAT946F17/Conditional Image Generation with PixelCNN Decoders‏‎ (61 revisions)
  186. stat946w18/Synthetic and natural noise both break neural machine translation‏‎ (61 revisions)
  187. neighbourhood Components Analysis‏‎ (62 revisions)
  188. the Wake-Sleep Algorithm for Unsupervised Neural Networks‏‎ (62 revisions)
  189. One-Shot Imitation Learning‏‎ (62 revisions)
  190. FeUdal Networks for Hierarchical Reinforcement Learning‏‎ (63 revisions)
  191. Deep Exploration via Bootstrapped DQN‏‎ (64 revisions)
  192. compressed Sensing Reconstruction via Belief Propagation‏‎ (64 revisions)
  193. contributions on Quantifying Cancer Progression with Conjunctive Bayesian Networks‏‎ (64 revisions)
  194. statf09841Scribe‏‎ (65 revisions)
  195. video-based face recognition using Adaptive HMM‏‎ (65 revisions)
  196. Wavelet Pooling CNN‏‎ (66 revisions)
  197. proposal for STAT946 projects Fall 2010‏‎ (66 revisions)
  198. visualizing Data using t-SNE‏‎ (66 revisions)
  199. BERTScore: Evaluating Text Generation with BERT‏‎ (67 revisions)
  200. Learning to Teach‏‎ (67 revisions)
  201. stat946w18/Wavelet Pooling For Convolutional Neural Networks‏‎ (67 revisions)
  202. A universal SNP and small-indel variant caller using deep neural networks‏‎ (67 revisions)
  203. Adversarial Fisher Vectors for Unsupervised Representation Learning‏‎ (67 revisions)
  204. policy optimization with demonstrations‏‎ (68 revisions)
  205. Extreme Multi-label Text Classification‏‎ (68 revisions)
  206. One-Shot Object Detection with Co-Attention and Co-Excitation‏‎ (69 revisions)
  207. human-level control through deep reinforcement learning‏‎ (69 revisions)
  208. ALBERT: A Lite BERT for Self-supervised Learning of Language Representations‏‎ (69 revisions)
  209. Reinforcement Learning of Theorem Proving‏‎ (69 revisions)
  210. stat946w18/AmbientGAN: Generative Models from Lossy Measurements‏‎ (71 revisions)
  211. Annotating Object Instances with a Polygon RNN‏‎ (71 revisions)
  212. schedule946‏‎ (71 revisions)
  213. goingDeeperWithConvolutions‏‎ (71 revisions)
  214. Roberta‏‎ (72 revisions)
  215. stat946f15/Sequence to sequence learning with neural networks‏‎ (72 revisions)
  216. Functional regularisation for continual learning with gaussian processes‏‎ (72 revisions)
  217. Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence‏‎ (73 revisions)
  218. STAT946F17/ Learning Important Features Through Propagating Activation Differences‏‎ (73 revisions)
  219. The Curious Case of Degeneration‏‎ (73 revisions)
  220. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space‏‎ (73 revisions)
  221. STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study‏‎ (73 revisions)
  222. Unsupervised Domain Adaptation with Residual Transfer Networks‏‎ (73 revisions)
  223. relevant Component Analysis‏‎ (73 revisions)
  224. XGBoost: A Scalable Tree Boosting System‏‎ (73 revisions)
  225. stat946F18/Autoregressive Convolutional Neural Networks for Asynchronous Time Series‏‎ (73 revisions)
  226. nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization‏‎ (74 revisions)
  227. Hierarchical Representations for Efficient Architecture Search‏‎ (74 revisions)
  228. Summary - A Neural Representation of Sketch Drawings‏‎ (75 revisions)
  229. independent Component Analysis: algorithms and applications‏‎ (75 revisions)
  230. Imagination-Augmented Agents for Deep Reinforcement Learning‏‎ (76 revisions)
  231. stat946F18/Beyond Word Importance Contextual Decomposition to Extract Interactions from LSTMs‏‎ (76 revisions)
  232. f10 Stat841 digest‏‎ (76 revisions)
  233. Universal Style Transfer via Feature Transforms‏‎ (76 revisions)
  234. learning Spectral Clustering, With Application To Speech Separation‏‎ (77 revisions)
  235. Meta-Learning For Domain Generalization‏‎ (77 revisions)
  236. from Machine Learning to Machine Reasoning‏‎ (77 revisions)
  237. Learning What and Where to Draw‏‎ (78 revisions)
  238. maximum-Margin Matrix Factorization‏‎ (79 revisions)
  239. learning a Nonlinear Embedding by Preserving Class Neighborhood Structure‏‎ (80 revisions)
  240. Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling‏‎ (80 revisions)
  241. a Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis‏‎ (81 revisions)
  242. Being Bayesian about Categorical Probability‏‎ (81 revisions)
  243. Mask RCNN‏‎ (81 revisions)
  244. f11Stat946presentation‏‎ (81 revisions)
  245. Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition‏‎ (81 revisions)
  246. Fix your classifier: the marginal value of training the last weight layer‏‎ (82 revisions)
  247. f11Stat841proposal‏‎ (82 revisions)
  248. Convolutional Sequence to Sequence Learning‏‎ (83 revisions)
  249. stat441w18/summary 1‏‎ (83 revisions)
  250. XGBoost‏‎ (83 revisions)

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