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Showing below up to 250 results in range #101 to #350.

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  1. a Rank Minimization Heuristic with Application to Minimum Order System Approximation‏‎ (104 revisions)
  2. proposal Fall 2010‏‎ (103 revisions)
  3. One pixel attack for fooling deep neural networks‏‎ (103 revisions)
  4. Summary for survey of neural networked-based cancer prediction models from microarray data‏‎ (103 revisions)
  5. what game are we playing‏‎ (103 revisions)
  6. MULTI-VIEW DATA GENERATION WITHOUT VIEW SUPERVISION‏‎ (102 revisions)
  7. conditional neural process‏‎ (101 revisions)
  8. a Dynamic Bayesian Network Click Model for Web Search Ranking‏‎ (101 revisions)
  9. Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias‏‎ (101 revisions)
  10. learning Fast Approximations of Sparse Coding‏‎ (99 revisions)
  11. When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary‏‎ (99 revisions)
  12. a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization‏‎ (99 revisions)
  13. question Answering with Subgraph Embeddings‏‎ (97 revisions)
  14. main Page‏‎ (96 revisions)
  15. When Does Self-Supervision Improve Few-Shot Learning?‏‎ (96 revisions)
  16. DETECTING STATISTICAL INTERACTIONS FROM NEURAL NETWORK WEIGHTS‏‎ (96 revisions)
  17. Searching For Efficient Multi Scale Architectures For Dense Image Prediction‏‎ (95 revisions)
  18. IPBoost‏‎ (93 revisions)
  19. stat946w18/Predicting Floor-Level for 911 Calls with Neural Networks and Smartphone Sensor Data‏‎ (93 revisions)
  20. ShakeDrop Regularization‏‎ (93 revisions)
  21. Pre-Training Tasks For Embedding-Based Large-Scale Retrieval‏‎ (92 revisions)
  22. LightRNN: Memory and Computation-Efficient Recurrent Neural Networks‏‎ (92 revisions)
  23. a neural representation of sketch drawings‏‎ (92 revisions)
  24. F18-STAT841-Proposal‏‎ (92 revisions)
  25. Semantic Relation Classification——via Convolution Neural Network‏‎ (92 revisions)
  26. sign up for your presentation‏‎ (91 revisions)
  27. stat441w18/Image Question Answering using CNN with Dynamic Parameter Prediction‏‎ (90 revisions)
  28. Evaluating Machine Accuracy on ImageNet‏‎ (90 revisions)
  29. Towards Deep Learning Models Resistant to Adversarial Attacks‏‎ (89 revisions)
  30. A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques‏‎ (88 revisions)
  31. convex and Semi Nonnegative Matrix Factorization‏‎ (88 revisions)
  32. graph Laplacian Regularization for Larg-Scale Semidefinite Programming‏‎ (88 revisions)
  33. supervised Dictionary Learning‏‎ (88 revisions)
  34. Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin‏‎ (88 revisions)
  35. F21-STAT 940-Proposal‏‎ (86 revisions)
  36. Wasserstein Auto-encoders‏‎ (86 revisions)
  37. Generating Image Descriptions‏‎ (86 revisions)
  38. STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow‏‎ (85 revisions)
  39. Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness‏‎ (84 revisions)
  40. Neural Speed Reading via Skim-RNN‏‎ (84 revisions)
  41. stat441w18/summary 1‏‎ (83 revisions)
  42. XGBoost‏‎ (83 revisions)
  43. Convolutional Sequence to Sequence Learning‏‎ (83 revisions)
  44. f11Stat841proposal‏‎ (82 revisions)
  45. Fix your classifier: the marginal value of training the last weight layer‏‎ (82 revisions)
  46. Being Bayesian about Categorical Probability‏‎ (81 revisions)
  47. Mask RCNN‏‎ (81 revisions)
  48. f11Stat946presentation‏‎ (81 revisions)
  49. Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition‏‎ (81 revisions)
  50. a Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis‏‎ (81 revisions)
  51. learning a Nonlinear Embedding by Preserving Class Neighborhood Structure‏‎ (80 revisions)
  52. Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling‏‎ (80 revisions)
  53. maximum-Margin Matrix Factorization‏‎ (79 revisions)
  54. Learning What and Where to Draw‏‎ (78 revisions)
  55. from Machine Learning to Machine Reasoning‏‎ (77 revisions)
  56. learning Spectral Clustering, With Application To Speech Separation‏‎ (77 revisions)
  57. Meta-Learning For Domain Generalization‏‎ (77 revisions)
  58. f10 Stat841 digest‏‎ (76 revisions)
  59. Universal Style Transfer via Feature Transforms‏‎ (76 revisions)
  60. Imagination-Augmented Agents for Deep Reinforcement Learning‏‎ (76 revisions)
  61. stat946F18/Beyond Word Importance Contextual Decomposition to Extract Interactions from LSTMs‏‎ (76 revisions)
  62. independent Component Analysis: algorithms and applications‏‎ (75 revisions)
  63. Summary - A Neural Representation of Sketch Drawings‏‎ (75 revisions)
  64. nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization‏‎ (74 revisions)
  65. Hierarchical Representations for Efficient Architecture Search‏‎ (74 revisions)
  66. Unsupervised Domain Adaptation with Residual Transfer Networks‏‎ (73 revisions)
  67. relevant Component Analysis‏‎ (73 revisions)
  68. XGBoost: A Scalable Tree Boosting System‏‎ (73 revisions)
  69. stat946F18/Autoregressive Convolutional Neural Networks for Asynchronous Time Series‏‎ (73 revisions)
  70. Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence‏‎ (73 revisions)
  71. STAT946F17/ Learning Important Features Through Propagating Activation Differences‏‎ (73 revisions)
  72. The Curious Case of Degeneration‏‎ (73 revisions)
  73. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space‏‎ (73 revisions)
  74. STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study‏‎ (73 revisions)
  75. Roberta‏‎ (72 revisions)
  76. stat946f15/Sequence to sequence learning with neural networks‏‎ (72 revisions)
  77. Functional regularisation for continual learning with gaussian processes‏‎ (72 revisions)
  78. Annotating Object Instances with a Polygon RNN‏‎ (71 revisions)
  79. goingDeeperWithConvolutions‏‎ (71 revisions)
  80. schedule946‏‎ (71 revisions)
  81. stat946w18/AmbientGAN: Generative Models from Lossy Measurements‏‎ (71 revisions)
  82. ALBERT: A Lite BERT for Self-supervised Learning of Language Representations‏‎ (69 revisions)
  83. Reinforcement Learning of Theorem Proving‏‎ (69 revisions)
  84. One-Shot Object Detection with Co-Attention and Co-Excitation‏‎ (69 revisions)
  85. human-level control through deep reinforcement learning‏‎ (69 revisions)
  86. policy optimization with demonstrations‏‎ (68 revisions)
  87. Extreme Multi-label Text Classification‏‎ (68 revisions)
  88. A universal SNP and small-indel variant caller using deep neural networks‏‎ (67 revisions)
  89. Adversarial Fisher Vectors for Unsupervised Representation Learning‏‎ (67 revisions)
  90. BERTScore: Evaluating Text Generation with BERT‏‎ (67 revisions)
  91. Learning to Teach‏‎ (67 revisions)
  92. stat946w18/Wavelet Pooling For Convolutional Neural Networks‏‎ (67 revisions)
  93. proposal for STAT946 projects Fall 2010‏‎ (66 revisions)
  94. visualizing Data using t-SNE‏‎ (66 revisions)
  95. Wavelet Pooling CNN‏‎ (66 revisions)
  96. video-based face recognition using Adaptive HMM‏‎ (65 revisions)
  97. statf09841Scribe‏‎ (65 revisions)
  98. compressed Sensing Reconstruction via Belief Propagation‏‎ (64 revisions)
  99. contributions on Quantifying Cancer Progression with Conjunctive Bayesian Networks‏‎ (64 revisions)
  100. Deep Exploration via Bootstrapped DQN‏‎ (64 revisions)
  101. FeUdal Networks for Hierarchical Reinforcement Learning‏‎ (63 revisions)
  102. neighbourhood Components Analysis‏‎ (62 revisions)
  103. the Wake-Sleep Algorithm for Unsupervised Neural Networks‏‎ (62 revisions)
  104. One-Shot Imitation Learning‏‎ (62 revisions)
  105. STAT946F17/Conditional Image Generation with PixelCNN Decoders‏‎ (61 revisions)
  106. stat946w18/Synthetic and natural noise both break neural machine translation‏‎ (61 revisions)
  107. deep neural networks for acoustic modeling in speech recognition‏‎ (61 revisions)
  108. signupformStat341F11‏‎ (61 revisions)
  109. DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION‏‎ (60 revisions)
  110. Dense Passage Retrieval for Open-Domain Question Answering‏‎ (60 revisions)
  111. DeepVO Towards end to end visual odometry with deep RNN‏‎ (59 revisions)
  112. f14Stat842EditorSignUp‏‎ (59 revisions)
  113. CatBoost: unbiased boosting with categorical features‏‎ (59 revisions)
  114. Spherical CNNs‏‎ (59 revisions)
  115. f11Stat841presentation‏‎ (59 revisions)
  116. stat946w18/MaskRNN: Instance Level Video Object Segmentation‏‎ (58 revisions)
  117. residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models‏‎ (58 revisions)
  118. stat441w18/A New Method of Region Embedding for Text Classification‏‎ (57 revisions)
  119. Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction‏‎ (56 revisions)
  120. kernelized Locality-Sensitive Hashing‏‎ (56 revisions)
  121. sparse PCA‏‎ (56 revisions)
  122. stat946F18/differentiableplasticity‏‎ (55 revisions)
  123. learning Hierarchical Features for Scene Labeling‏‎ (55 revisions)
  124. a fair comparison of graph neural networks for graph classification‏‎ (55 revisions)
  125. End to end Active Object Tracking via Reinforcement Learning‏‎ (55 revisions)
  126. On The Convergence Of ADAM And Beyond‏‎ (54 revisions)
  127. Understanding Image Motion with Group Representations‏‎ (54 revisions)
  128. GradientLess Descent‏‎ (54 revisions)
  129. MarrNet: 3D Shape Reconstruction via 2.5D Sketches‏‎ (53 revisions)
  130. Don't Just Blame Over-parametrization‏‎ (53 revisions)
  131. adaptive dimension reduction for clustering high dimensional data‏‎ (53 revisions)
  132. Multi-scale Dense Networks for Resource Efficient Image Classification‏‎ (52 revisions)
  133. paper 13‏‎ (52 revisions)
  134. nonparametric Latent Feature Models for Link Prediction‏‎ (52 revisions)
  135. parsing natural scenes and natural language with recursive neural networks‏‎ (52 revisions)
  136. statf10841Scribe‏‎ (51 revisions)
  137. Dynamic Routing Between Capsules‏‎ (51 revisions)
  138. Task Understanding from Confushing Multitask Data‏‎ (50 revisions)
  139. A Bayesian Perspective on Generalization and Stochastic Gradient Descent‏‎ (50 revisions)
  140. the Indian Buffet Process: An Introduction and Review‏‎ (50 revisions)
  141. Memory-Based Parameter Adaptation‏‎ (49 revisions)
  142. inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method‏‎ (49 revisions)
  143. markov Random Fields for Super-Resolution‏‎ (49 revisions)
  144. stat441w18/mastering-chess-and-shogi-self-play‏‎ (49 revisions)
  145. orthogonal gradient descent for continual learning‏‎ (49 revisions)
  146. Breaking Certified Defenses: Semantic Adversarial Examples With Spoofed Robustness Certificates‏‎ (48 revisions)
  147. THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS‏‎ (48 revisions)
  148. End-to-End Differentiable Adversarial Imitation Learning‏‎ (47 revisions)
  149. overfeat: integrated recognition, localization and detection using convolutional networks‏‎ (47 revisions)
  150. Time-series Generative Adversarial Networks‏‎ (47 revisions)
  151. STAT946F20/BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding‏‎ (47 revisions)
  152. A Neural Representation of Sketch Drawings‏‎ (47 revisions)
  153. stat946w18/Self Normalizing Neural Networks‏‎ (46 revisions)
  154. Augmix: New Data Augmentation method to increase the robustness of the algorithm‏‎ (46 revisions)
  155. Streaming Bayesian Inference for Crowdsourced Classification‏‎ (46 revisions)
  156. Label-Free Supervision of Neural Networks with Physics and Domain Knowledge‏‎ (46 revisions)
  157. Do Deep Neural Networks Suffer from Crowding‏‎ (45 revisions)
  158. hierarchical Dirichlet Processes‏‎ (45 revisions)
  159. on the difficulty of training recurrent neural networks‏‎ (45 revisions)
  160. continuous space language models‏‎ (45 revisions)
  161. Model Agnostic Learning of Semantic Features‏‎ (44 revisions)
  162. schedule‏‎ (44 revisions)
  163. SuperGLUE‏‎ (44 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. Co-Teaching‏‎ (42 revisions)
  169. matrix Completion with Noise‏‎ (42 revisions)
  170. Robust Imitation Learning from Noisy Demonstrations‏‎ (42 revisions)
  171. an HDP-HMM for Systems with State Persistence‏‎ (41 revisions)
  172. semi-supervised Learning with Deep Generative Models‏‎ (41 revisions)
  173. graves et al., Speech recognition with deep recurrent neural networks‏‎ (41 revisions)
  174. show, Attend and Tell: Neural Image Caption Generation with Visual Attention‏‎ (41 revisions)
  175. STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN‏‎ (41 revisions)
  176. U-Time:A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging Summary‏‎ (41 revisions)
  177. This Looks Like That: Deep Learning for Interpretable Image Recognition‏‎ (40 revisions)
  178. Neural Audio Synthesis of Musical Notes with WaveNet autoencoders‏‎ (40 revisions)
  179. stat441w18/e-gan‏‎ (39 revisions)
  180. stat946w18/Implicit Causal Models for Genome-wide Association Studies‏‎ (39 revisions)
  181. kernel Dimension Reduction in Regression‏‎ (38 revisions)
  182. Poison Frogs Neural Networks‏‎ (38 revisions)
  183. Training And Inference with Integers in Deep Neural Networks‏‎ (38 revisions)
  184. neural Turing Machines‏‎ (37 revisions)
  185. graphical models for structured classification, with an application to interpreting images of protein subcellular location patterns‏‎ (37 revisions)
  186. strategies for Training Large Scale Neural Network Language Models‏‎ (37 revisions)
  187. F18-STAT946-Proposal‏‎ (37 revisions)
  188. statf09841Proposal‏‎ (36 revisions)
  189. scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Machines‏‎ (36 revisions)
  190. Automatic Bank Fraud Detection Using Support Vector Machines‏‎ (36 revisions)
  191. dropout‏‎ (35 revisions)
  192. positive Semidefinite Metric Learning Using Boosting-like Algorithms‏‎ (35 revisions)
  193. Representations of Words and Phrases and their Compositionality‏‎ (35 revisions)
  194. schedule of Project Presentations‏‎ (35 revisions)
  195. large-Scale Supervised Sparse Principal Component Analysis‏‎ (35 revisions)
  196. Predicting Hurricane Trajectories Using a Recurrent Neural Network‏‎ (35 revisions)
  197. deep Sparse Rectifier Neural Networks‏‎ (35 revisions)
  198. memory Networks‏‎ (34 revisions)
  199. maximum likelihood estimation of intrinsic dimension‏‎ (33 revisions)
  200. natural language processing (almost) from scratch.‏‎ (33 revisions)
  201. f11Stat946ass‏‎ (33 revisions)
  202. stat946w18/Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolutional Layers‏‎ (33 revisions)
  203. learning Phrase Representations‏‎ (32 revisions)
  204. joint training of a convolutional network and a graphical model for human pose estimation‏‎ (32 revisions)
  205. distributed Representations of Words and Phrases and their Compositionality‏‎ (32 revisions)
  206. compressive Sensing (Candes)‏‎ (32 revisions)
  207. contributions on Context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis‏‎ (32 revisions)
  208. STAT946F17/ Automated Curriculum Learning for Neural Networks‏‎ (31 revisions)
  209. f11stat946EditorSignUp‏‎ (31 revisions)
  210. Deep Double Descent Where Bigger Models and More Data Hurt‏‎ (31 revisions)
  211. stat841F18/‏‎ (31 revisions)
  212. DCN plus: Mixed Objective And Deep Residual Coattention for Question Answering‏‎ (30 revisions)
  213. metric and Kernel Learning Using a Linear Transformation‏‎ (30 revisions)
  214. Going Deeper with Convolutions‏‎ (30 revisions)
  215. deep Generative Stochastic Networks Trainable by Backprop‏‎ (30 revisions)
  216. deep Convolutional Neural Networks For LVCSR‏‎ (29 revisions)
  217. genetics‏‎ (29 revisions)
  218. A Knowledge-Grounded Neural Conversation Model‏‎ (28 revisions)
  219. Depthwise Convolution Is All You Need for Learning Multiple Visual Domains‏‎ (28 revisions)
  220. learning Long-Range Vision for Autonomous Off-Road Driving‏‎ (27 revisions)
  221. neural Machine Translation: Jointly Learning to Align and Translate‏‎ (27 revisions)
  222. Dynamic Routing Between Capsulesl‏‎ (26 revisions)
  223. proposal for STAT946 (Deep Learning) final projects Fall 2015‏‎ (26 revisions)
  224. The Detection of Black Ice Accidents Using CNNs‏‎ (26 revisions)
  225. paper Summaries‏‎ (25 revisions)
  226. Learning The Difference That Makes A Difference With Counterfactually-Augmented Data‏‎ (25 revisions)
  227. dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces‏‎ (25 revisions)
  228. imageNet Classification with Deep Convolutional Neural Networks‏‎ (25 revisions)
  229. Unsupervised Machine Translation Using Monolingual Corpora Only‏‎ (24 revisions)
  230. contributions on Video-Based Face Recognition Using Adaptive Hidden Markov Models‏‎ (24 revisions)
  231. very Deep Convoloutional Networks for Large-Scale Image Recognition‏‎ (24 revisions)
  232. context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis‏‎ (24 revisions)
  233. extracting and Composing Robust Features with Denoising Autoencoders‏‎ (23 revisions)
  234. Wide and Deep Learning for Recommender Systems‏‎ (23 revisions)
  235. measuring statistical dependence with Hilbert-Schmidt norms‏‎ (23 revisions)
  236. stat946w18/Towards Image Understanding From Deep Compression Without Decoding‏‎ (22 revisions)
  237. deep Learning of the tissue-regulated splicing code‏‎ (22 revisions)
  238. a fast learning algorithm for deep belief nets‏‎ (22 revisions)
  239. decentralised Data Fusion: A Graphical Model Approach (Summary)‏‎ (22 revisions)
  240. s13Stat946proposal‏‎ (22 revisions)
  241. cardinality Restricted Boltzmann Machines‏‎ (22 revisions)
  242. generating text with recurrent neural networks‏‎ (21 revisions)
  243. stat441w18/Saliency-based Sequential Image Attention with Multiset Prediction‏‎ (21 revisions)
  244. rOBPCA: A New Approach to Robust Principal Component Analysis‏‎ (21 revisions)
  245. Convolutional neural network for diagnosis of viral pneumonia and COVID-19 alike diseases‏‎ (21 revisions)
  246. Summary of A Probabilistic Approach to Neural Network Pruning‏‎ (21 revisions)
  247. learning Convolutional Feature Hierarchies for Visual Recognition‏‎ (21 revisions)
  248. incremental Learning, Clustering and Hierarchy Formation of Whole Body Motion Patterns using Adaptive Hidden Markov Chains(Summary)‏‎ (20 revisions)
  249. kernel Spectral Clustering for Community Detection in Complex Networks‏‎ (20 revisions)
  250. Robust Probabilistic Modeling with Bayesian Data Reweighting‏‎ (18 revisions)

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