Pages with the fewest revisions

Showing below up to 250 results in range #1 to #250.

1. Research on Multiple Classification Based on Improved SVM Algorithm for Balanced Binary Decision Tree‏‎ (1 revision)
2. Don't Just Blame Over-parametrization Summary‏‎ (1 revision)
3. Deep Learning for Extreme Multi-label Text Classification‏‎ (1 revision)
4. Pre-Training-Tasks-For-Embedding-Based-Large-Scale-Retrieval‏‎ (1 revision)
5. Influenza Forecasting Framework based on Gaussian processes Summary‏‎ (1 revision)
6. stat946w18/Hierarchical Representations for Efficient Architecture Search‏‎ (1 revision)
7. stat946F20/GradientLess Descent‏‎ (1 revision)
8. Improving neural networks by preventing co-adaption of feature detectors 2020 Fall‏‎ (1 revision)
9. stat946w18/Spectral‏‎ (1 revision)
10. Breaking the Softmax Bottleneck: A High-Rank RNN Language Model‏‎ (1 revision)
11. ModelFramework.jpg‏‎ (1 revision)
12. test‏‎ (1 revision)
13. time-series-using-GAN‏‎ (1 revision)
14. Meta-Learning-For-Domain Generalization‏‎ (1 revision)
15. stat946w18/‏‎ (1 revision)
16. Deep Transfer Learning with Joint Adaptation Networks‏‎ (2 revisions)
17. Curiosity-driven Exploration by Self-supervised Prediction‏‎ (2 revisions)
18. mark your contribution here‏‎ (2 revisions)
19. copyofstat341‏‎ (2 revisions)
20. stat946f15/Deep neural networks for acoustic modeling in speech recognition‏‎ (2 revisions)
21. proof of Lemma 1‏‎ (2 revisions)
22. link to my paper‏‎ (2 revisions)
23. proof‏‎ (2 revisions)
24. video-Based Face Recognition Using Adaptive Hidden Markov Models‏‎ (2 revisions)
25. 13Stat946papers‏‎ (2 revisions)
26. maximum Variance Unfolding (June 2 2009)‏‎ (2 revisions)
27. monte Carlo methods‏‎ (2 revisions)
28. infoboxtest‏‎ (2 revisions)
29. Imagination Augmented Agents for Deep Reinforcement Learning‏‎ (2 revisions)
30. ALBERT‏‎ (2 revisions)
31. deflation Method for Penalized Matrix Decomposition Sparse PCA‏‎ (2 revisions)
32. Bsodjahi‏‎ (2 revisions)
33. mark Your Contribution here‏‎ (3 revisions)
34. binomial Probability Monte Carlo Sampling June 2 2009‏‎ (3 revisions)
35. generating Random Numbers‏‎ (3 revisions)
36. Do Vision Transformers See Like CNN‏‎ (3 revisions)
37. stat946f17‏‎ (3 revisions)
38. acceptance-Rejection Sampling‏‎ (3 revisions)
39. techniques for Normal and Gamma Sampling‏‎ (3 revisions)
40. Proposal for STAT946 (Deep Learning) final projects Fall 2017‏‎ (3 revisions)
41. sandbox to test w2l‏‎ (3 revisions)
42. deepGenerativeModels‏‎ (3 revisions)
43. quantifying cancer progression with conjunctive Bayesian networks‏‎ (3 revisions)
44. wikicoursenote:cleanup‏‎ (3 revisions)
45. learning2reasoning‏‎ (4 revisions)
46. importance Sampling June 2 2009‏‎ (4 revisions)
47. is Multinomial PCA Multi-faceted Clustering or Dimensionality Reduction‏‎ (4 revisions)
48. stat946f11pool‏‎ (4 revisions)
49. Another look at distance-weighted discrimination‏‎ (4 revisions)
50. test1‏‎ (4 revisions)
51. wikicoursenote:Manual of Style‏‎ (4 revisions)
52. tRIAL for that odd behaviour‏‎ (5 revisions)
53. stat946-Fall 2010‏‎ (5 revisions)
54. singular Value Decomposition(SVD)‏‎ (5 revisions)
55. proof of Theorem 1‏‎ (5 revisions)
56. again on Markov Chain‏‎ (5 revisions)
57. Hash Embeddings for Efficient Word Representations‏‎ (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. Robust Probabilistic Modeling with Bayesian Data Reweighting‏‎ (18 revisions)
81. f11Stat946papers‏‎ (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. stat946w18/Towards Image Understanding From Deep Compression Without Decoding‏‎ (22 revisions)
91. deep Learning of the tissue-regulated splicing code‏‎ (22 revisions)
92. a fast learning algorithm for deep belief nets‏‎ (22 revisions)
93. decentralised Data Fusion: A Graphical Model Approach (Summary)‏‎ (22 revisions)
94. s13Stat946proposal‏‎ (22 revisions)
95. cardinality Restricted Boltzmann Machines‏‎ (22 revisions)
96. extracting and Composing Robust Features with Denoising Autoencoders‏‎ (23 revisions)
97. Wide and Deep Learning for Recommender Systems‏‎ (23 revisions)
98. measuring statistical dependence with Hilbert-Schmidt norms‏‎ (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. Learning The Difference That Makes A Difference With Counterfactually-Augmented Data‏‎ (25 revisions)
104. paper Summaries‏‎ (25 revisions)
105. dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces‏‎ (25 revisions)
106. imageNet Classification with Deep Convolutional Neural Networks‏‎ (25 revisions)
107. The Detection of Black Ice Accidents Using CNNs‏‎ (26 revisions)
108. Dynamic Routing Between Capsulesl‏‎ (26 revisions)
109. proposal for STAT946 (Deep Learning) final projects Fall 2015‏‎ (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. genetics‏‎ (29 revisions)
115. deep Convolutional Neural Networks For LVCSR‏‎ (29 revisions)
116. DCN plus: Mixed Objective And Deep Residual Coattention for Question Answering‏‎ (30 revisions)
117. metric and Kernel Learning Using a Linear Transformation‏‎ (30 revisions)
118. Going Deeper with Convolutions‏‎ (30 revisions)
119. deep Generative Stochastic Networks Trainable by Backprop‏‎ (30 revisions)
120. stat841F18/‏‎ (31 revisions)
121. STAT946F17/ Automated Curriculum Learning for Neural Networks‏‎ (31 revisions)
122. f11stat946EditorSignUp‏‎ (31 revisions)
123. Deep Double Descent Where Bigger Models and More Data Hurt‏‎ (31 revisions)
124. compressive Sensing (Candes)‏‎ (32 revisions)
125. contributions on Context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis‏‎ (32 revisions)
126. learning Phrase Representations‏‎ (32 revisions)
127. joint training of a convolutional network and a graphical model for human pose estimation‏‎ (32 revisions)
128. distributed Representations of Words and Phrases and their Compositionality‏‎ (32 revisions)
129. maximum likelihood estimation of intrinsic dimension‏‎ (33 revisions)
130. natural language processing (almost) from scratch.‏‎ (33 revisions)
131. f11Stat946ass‏‎ (33 revisions)
132. stat946w18/Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolutional Layers‏‎ (33 revisions)
133. memory Networks‏‎ (34 revisions)
134. dropout‏‎ (35 revisions)
135. positive Semidefinite Metric Learning Using Boosting-like Algorithms‏‎ (35 revisions)
136. Representations of Words and Phrases and their Compositionality‏‎ (35 revisions)
137. schedule of Project Presentations‏‎ (35 revisions)
138. large-Scale Supervised Sparse Principal Component Analysis‏‎ (35 revisions)
139. Predicting Hurricane Trajectories Using a Recurrent Neural Network‏‎ (35 revisions)
140. deep Sparse Rectifier Neural Networks‏‎ (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. F18-STAT946-Proposal‏‎ (37 revisions)
145. neural Turing Machines‏‎ (37 revisions)
146. graphical models for structured classification, with an application to interpreting images of protein subcellular location patterns‏‎ (37 revisions)
147. strategies for Training Large Scale Neural Network Language Models‏‎ (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. Model Agnostic Learning of Semantic Features‏‎ (44 revisions)
169. schedule‏‎ (44 revisions)
170. SuperGLUE‏‎ (44 revisions)
171. Do Deep Neural Networks Suffer from Crowding‏‎ (45 revisions)
172. hierarchical Dirichlet Processes‏‎ (45 revisions)
173. on the difficulty of training recurrent neural networks‏‎ (45 revisions)
174. continuous space language models‏‎ (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. End-to-End Differentiable Adversarial Imitation Learning‏‎ (47 revisions)
180. overfeat: integrated recognition, localization and detection using convolutional networks‏‎ (47 revisions)
181. Time-series Generative Adversarial Networks‏‎ (47 revisions)
182. STAT946F20/BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding‏‎ (47 revisions)
183. A Neural Representation of Sketch Drawings‏‎ (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. orthogonal gradient descent for continual learning‏‎ (49 revisions)
187. Memory-Based Parameter Adaptation‏‎ (49 revisions)
188. inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method‏‎ (49 revisions)
189. markov Random Fields for Super-Resolution‏‎ (49 revisions)
190. stat441w18/mastering-chess-and-shogi-self-play‏‎ (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. statf10841Scribe‏‎ (51 revisions)
195. Dynamic Routing Between Capsules‏‎ (51 revisions)
196. nonparametric Latent Feature Models for Link Prediction‏‎ (52 revisions)
197. parsing natural scenes and natural language with recursive neural networks‏‎ (52 revisions)
198. Multi-scale Dense Networks for Resource Efficient Image Classification‏‎ (52 revisions)
199. paper 13‏‎ (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. Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction‏‎ (56 revisions)
211. kernelized Locality-Sensitive Hashing‏‎ (56 revisions)
212. sparse PCA‏‎ (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. signupformStat341F11‏‎ (61 revisions)
224. STAT946F17/Conditional Image Generation with PixelCNN Decoders‏‎ (61 revisions)
225. stat946w18/Synthetic and natural noise both break neural machine translation‏‎ (61 revisions)
226. deep neural networks for acoustic modeling in speech recognition‏‎ (61 revisions)
227. One-Shot Imitation Learning‏‎ (62 revisions)
228. neighbourhood Components Analysis‏‎ (62 revisions)
229. the Wake-Sleep Algorithm for Unsupervised Neural Networks‏‎ (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. proposal for STAT946 projects Fall 2010‏‎ (66 revisions)
237. visualizing Data using t-SNE‏‎ (66 revisions)
238. Wavelet Pooling CNN‏‎ (66 revisions)
239. stat946w18/Wavelet Pooling For Convolutional Neural Networks‏‎ (67 revisions)
240. A universal SNP and small-indel variant caller using deep neural networks‏‎ (67 revisions)
241. Adversarial Fisher Vectors for Unsupervised Representation Learning‏‎ (67 revisions)
242. BERTScore: Evaluating Text Generation with BERT‏‎ (67 revisions)
243. Learning to Teach‏‎ (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. One-Shot Object Detection with Co-Attention and Co-Excitation‏‎ (69 revisions)
249. human-level control through deep reinforcement learning‏‎ (69 revisions)
250. Annotating Object Instances with a Polygon RNN‏‎ (71 revisions)