Oldest pages

Showing below up to 430 results in range #1 to #430.

1. 13Stat946papers‏‎ (22:41, 18 June 2013)
2. stat341 / CM 361‏‎ (09:45, 30 August 2017)
3. schedule‏‎ (09:45, 30 August 2017)
4. monte Carlo methods‏‎ (09:45, 30 August 2017)
5. schedule946‏‎ (09:45, 30 August 2017)
6. stat946f10‏‎ (09:45, 30 August 2017)
7. importance Sampling June 2 2009‏‎ (09:45, 30 August 2017)
8. maximum Variance Unfolding (June 2 2009)‏‎ (09:45, 30 August 2017)
9. binomial Probability Monte Carlo Sampling June 2 2009‏‎ (09:45, 30 August 2017)
10. techniques for Normal and Gamma Sampling‏‎ (09:45, 30 August 2017)
11. generating Random Numbers‏‎ (09:45, 30 August 2017)
12. acceptance-Rejection Sampling‏‎ (09:45, 30 August 2017)
13. importance Sampling and Monte Carlo Simulation‏‎ (09:45, 30 August 2017)
14. monte Carlo Integration‏‎ (09:45, 30 August 2017)
15. bayesian and Frequentist Schools of Thought‏‎ (09:45, 30 August 2017)
16. a Deeper Look into Importance Sampling‏‎ (09:45, 30 August 2017)
17. importance Sampling and Markov Chain Monte Carlo (MCMC)‏‎ (09:45, 30 August 2017)
18. markov Chain Definitions‏‎ (09:45, 30 August 2017)
19. again on Markov Chain‏‎ (09:45, 30 August 2017)
20. paper 13‏‎ (09:45, 30 August 2017)
21. measuring Statistical Dependence with Hilbert-Schmidt Norm‏‎ (09:45, 30 August 2017)
22. dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces‏‎ (09:45, 30 August 2017)
23. sparse PCA‏‎ (09:45, 30 August 2017)
24. proposal for STAT946 projects‏‎ (09:45, 30 August 2017)
25. neighbourhood Components Analysis‏‎ (09:45, 30 August 2017)
26. learning Spectral Clustering, With Application To Speech Separation‏‎ (09:45, 30 August 2017)
27. visualizing Similarity Data with a Mixture of Maps‏‎ (09:45, 30 August 2017)
28. learning a Nonlinear Embedding by Preserving Class Neighborhood Structure‏‎ (09:45, 30 August 2017)
29. independent Component Analysis: algorithms and applications‏‎ (09:45, 30 August 2017)
30. convex and Semi Nonnegative Matrix Factorization‏‎ (09:45, 30 August 2017)
31. graph Laplacian Regularization for Larg-Scale Semidefinite Programming‏‎ (09:45, 30 August 2017)
32. relevant Component Analysis‏‎ (09:45, 30 August 2017)
33. nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization‏‎ (09:45, 30 August 2017)
34. visualizing Data using t-SNE‏‎ (09:45, 30 August 2017)
35. kernelized Sorting‏‎ (09:45, 30 August 2017)
36. maximum-Margin Matrix Factorization‏‎ (09:45, 30 August 2017)
37. regression on Manifold using Kernel Dimension Reduction‏‎ (09:45, 30 August 2017)
38. stat841‏‎ (09:45, 30 August 2017)
39. test1‏‎ (09:45, 30 August 2017)
40. wikicoursenote:Manual of Style‏‎ (09:45, 30 August 2017)
41. infoboxtest‏‎ (09:45, 30 August 2017)
42. statf09841Proposal‏‎ (09:45, 30 August 2017)
43. statf09841Scribe‏‎ (09:45, 30 August 2017)
44. stat841f10‏‎ (09:45, 30 August 2017)
45. proposal for STAT946 projects Fall 2010‏‎ (09:45, 30 August 2017)
46. stat946-Fall 2010‏‎ (09:45, 30 August 2017)
47. wikicoursenote:cleanup‏‎ (09:45, 30 August 2017)
48. statf10841Scribe‏‎ (09:45, 30 August 2017)
49. proposal Fall 2010‏‎ (09:45, 30 August 2017)
50. f10 Stat841 digest‏‎ (09:45, 30 August 2017)
51. sign up for your presentation‏‎ (09:45, 30 August 2017)
52. schedule of Project Presentations‏‎ (09:45, 30 August 2017)
53. proof of Theorem 1‏‎ (09:45, 30 August 2017)
54. paper Summaries‏‎ (09:45, 30 August 2017)
55. proof of Lemma 1‏‎ (09:45, 30 August 2017)
56. a Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis‏‎ (09:45, 30 August 2017)
57. discLDA: Discriminative Learning for Dimensionality Reduction and Classification‏‎ (09:45, 30 August 2017)
58. a Direct Formulation For Sparse PCA Using Semidefinite Programming‏‎ (09:45, 30 August 2017)
59. self-Taught Learning‏‎ (09:45, 30 August 2017)
60. deflation Methods for Sparse PCA‏‎ (09:45, 30 August 2017)
61. is Multinomial PCA Multi-faceted Clustering or Dimensionality Reduction‏‎ (09:45, 30 August 2017)
62. compressive Sensing‏‎ (09:45, 30 August 2017)
63. mark Your Contribution here‏‎ (09:45, 30 August 2017)
64. mark your contribution here‏‎ (09:45, 30 August 2017)
65. supervised Dictionary Learning‏‎ (09:45, 30 August 2017)
66. link to my paper‏‎ (09:45, 30 August 2017)
67. deflation Method for Penalized Matrix Decomposition Sparse PCA‏‎ (09:45, 30 August 2017)
68. matrix Completion with Noise‏‎ (09:45, 30 August 2017)
69. probabilistic Matrix Factorization‏‎ (09:45, 30 August 2017)
70. uncovering Shared Structures in Multiclass Classification‏‎ (09:45, 30 August 2017)
71. a Rank Minimization Heuristic with Application to Minimum Order System Approximation‏‎ (09:45, 30 August 2017)
72. compressive Sensing (Candes)‏‎ (09:45, 30 August 2017)
73. probabilistic PCA with GPLVM‏‎ (09:45, 30 August 2017)
74. multi-Task Feature Learning‏‎ (09:45, 30 August 2017)
75. optimal Solutions forSparse Principal Component Analysis‏‎ (09:45, 30 August 2017)
76. consistency of Trace Norm Minimization‏‎ (09:45, 30 August 2017)
77. copyofstat341‏‎ (09:45, 30 August 2017)
78. a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization‏‎ (09:45, 30 August 2017)
79. proof‏‎ (09:45, 30 August 2017)
80. stat341f11‏‎ (09:45, 30 August 2017)
81. f11Stat841EditorSignUp‏‎ (09:45, 30 August 2017)
82. singular Value Decomposition(SVD)‏‎ (09:45, 30 August 2017)
83. signupformStat341F11‏‎ (09:45, 30 August 2017)
84. stat946f11‏‎ (09:45, 30 August 2017)
85. f11Stat946presentation‏‎ (09:45, 30 August 2017)
86. stat946f11pool‏‎ (09:45, 30 August 2017)
87. compressed Sensing Reconstruction via Belief Propagation‏‎ (09:45, 30 August 2017)
88. f11Stat946ass‏‎ (09:45, 30 August 2017)
89. f11Stat946papers‏‎ (09:45, 30 August 2017)
90. f11stat946EditorSignUp‏‎ (09:45, 30 August 2017)
91. contributions on Video-Based Face Recognition Using Adaptive Hidden Markov Models‏‎ (09:45, 30 August 2017)
92. video-Based Face Recognition Using Adaptive Hidden Markov Models‏‎ (09:45, 30 August 2017)
93. tRIAL for that odd behaviour‏‎ (09:45, 30 August 2017)
94. contributions on Context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis‏‎ (09:45, 30 August 2017)
95. a Dynamic Bayesian Network Click Model for Web Search Ranking‏‎ (09:45, 30 August 2017)
96. contributions on Quantifying Cancer Progression with Conjunctive Bayesian Networks‏‎ (09:45, 30 August 2017)
97. decentralised Data Fusion: A Graphical Model Approach (Summary)‏‎ (09:45, 30 August 2017)
98. quantifying cancer progression with conjunctive Bayesian networks‏‎ (09:46, 30 August 2017)
99. markov Random Fields for Super-Resolution‏‎ (09:46, 30 August 2017)
100. quantifying cancer progression with conjunctive Bayesian networks.‏‎ (09:46, 30 August 2017)
101. graphical models for structured classification, with an application to interpreting images of protein subcellular location patterns‏‎ (09:46, 30 August 2017)
102. video-based face recognition using Adaptive HMM‏‎ (09:46, 30 August 2017)
103. an HDP-HMM for Systems with State Persistence‏‎ (09:46, 30 August 2017)
104. a Dynamic Bayesian Network Click Model for web search ranking‏‎ (09:46, 30 August 2017)
105. incremental Learning, Clustering and Hierarchy Formation of Whole Body Motion Patterns using Adaptive Hidden Markov Chains(Summary)‏‎ (09:46, 30 August 2017)
106. context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis‏‎ (09:46, 30 August 2017)
107. stat340s13‏‎ (09:46, 30 August 2017)
108. stat946s13‏‎ (09:46, 30 August 2017)
109. s13Stat946proposal‏‎ (09:46, 30 August 2017)
110. inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method‏‎ (09:46, 30 August 2017)
111. residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models‏‎ (09:46, 30 August 2017)
112. maximum likelihood estimation of intrinsic dimension‏‎ (09:46, 30 August 2017)
113. hierarchical Dirichlet Processes‏‎ (09:46, 30 August 2017)
114. positive Semidefinite Metric Learning Using Boosting-like Algorithms‏‎ (09:46, 30 August 2017)
115. hamming Distance Metric Learning‏‎ (09:46, 30 August 2017)
116. kernel Dimension Reduction in Regression‏‎ (09:46, 30 August 2017)
117. kernelized Locality-Sensitive Hashing‏‎ (09:46, 30 August 2017)
118. parametric Local Metric Learning for Nearest Neighbor Classification‏‎ (09:46, 30 August 2017)
119. kernel Spectral Clustering for Community Detection in Complex Networks‏‎ (09:46, 30 August 2017)
120. adaptive dimension reduction for clustering high dimensional data‏‎ (09:46, 30 August 2017)
121. the Indian Buffet Process: An Introduction and Review‏‎ (09:46, 30 August 2017)
122. large-Scale Supervised Sparse Principal Component Analysis‏‎ (09:46, 30 August 2017)
123. measuring and testing dependence by correlation of distances‏‎ (09:46, 30 August 2017)
124. metric and Kernel Learning Using a Linear Transformation‏‎ (09:46, 30 August 2017)
125. measuring statistical dependence with Hilbert-Schmidt norms‏‎ (09:46, 30 August 2017)
126. rOBPCA: A New Approach to Robust Principal Component Analysis‏‎ (09:46, 30 August 2017)
127. cardinality Restricted Boltzmann Machines‏‎ (09:46, 30 August 2017)
128. nonparametric Latent Feature Models for Link Prediction‏‎ (09:46, 30 August 2017)
129. stat841f14‏‎ (09:46, 30 August 2017)
130. sandbox to test w2l‏‎ (09:46, 30 August 2017)
131. f14Stat842EditorSignUp‏‎ (09:46, 30 August 2017)
132. graves et al., Speech recognition with deep recurrent neural networks‏‎ (09:46, 30 August 2017)
133. proposal for STAT946 (Deep Learning) final projects Fall 2015‏‎ (09:46, 30 August 2017)
134. stat946f15‏‎ (09:46, 30 August 2017)
135. overfeat: integrated recognition, localization and detection using convolutional networks‏‎ (09:46, 30 August 2017)
136. goingDeeperWithConvolutions‏‎ (09:46, 30 August 2017)
137. parsing natural scenes and natural language with recursive neural networks‏‎ (09:46, 30 August 2017)
138. human-level control through deep reinforcement learning‏‎ (09:46, 30 August 2017)
139. learning Hierarchical Features for Scene Labeling‏‎ (09:46, 30 August 2017)
140. deep Sparse Rectifier Neural Networks‏‎ (09:46, 30 August 2017)
141. deep neural networks for acoustic modeling in speech recognition‏‎ (09:46, 30 August 2017)
142. stat946f15/Deep neural networks for acoustic modeling in speech recognition‏‎ (09:46, 30 August 2017)
143. dropout‏‎ (09:46, 30 August 2017)
144. deepGenerativeModels‏‎ (09:46, 30 August 2017)
145. learning2reasoning‏‎ (09:46, 30 August 2017)
146. neural Machine Translation: Jointly Learning to Align and Translate‏‎ (09:46, 30 August 2017)
147. show, Attend and Tell: Neural Image Caption Generation with Visual Attention‏‎ (09:46, 30 August 2017)
148. neural Turing Machines‏‎ (09:46, 30 August 2017)
149. imageNet Classification with Deep Convolutional Neural Networks‏‎ (09:46, 30 August 2017)
150. natural language processing (almost) from scratch.‏‎ (09:46, 30 August 2017)
151. from Machine Learning to Machine Reasoning‏‎ (09:46, 30 August 2017)
152. question Answering with Subgraph Embeddings‏‎ (09:46, 30 August 2017)
153. joint training of a convolutional network and a graphical model for human pose estimation‏‎ (09:46, 30 August 2017)
154. genetics‏‎ (09:46, 30 August 2017)
155. memory Networks‏‎ (09:46, 30 August 2017)
156. deep Convolutional Neural Networks For LVCSR‏‎ (09:46, 30 August 2017)
157. deep Learning of the tissue-regulated splicing code‏‎ (09:46, 30 August 2017)
158. learning Phrase Representations‏‎ (09:46, 30 August 2017)
159. scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Machines‏‎ (09:46, 30 August 2017)
160. deep Generative Stochastic Networks Trainable by Backprop‏‎ (09:46, 30 August 2017)
161. the Wake-Sleep Algorithm for Unsupervised Neural Networks‏‎ (09:46, 30 August 2017)
162. very Deep Convoloutional Networks for Large-Scale Image Recognition‏‎ (09:46, 30 August 2017)
163. extracting and Composing Robust Features with Denoising Autoencoders‏‎ (09:46, 30 August 2017)
164. generating text with recurrent neural networks‏‎ (09:46, 30 August 2017)
165. learning Long-Range Vision for Autonomous Off-Road Driving‏‎ (09:46, 30 August 2017)
166. continuous space language models‏‎ (09:46, 30 August 2017)
167. on the Number of Linear Regions of Deep Neural Networks‏‎ (09:46, 30 August 2017)
168. the Manifold Tangent Classifier‏‎ (09:46, 30 August 2017)
169. learning Convolutional Feature Hierarchies for Visual Recognition‏‎ (09:46, 30 August 2017)
170. distributed Representations of Words and Phrases and their Compositionality‏‎ (09:46, 30 August 2017)
171. a fast learning algorithm for deep belief nets‏‎ (09:46, 30 August 2017)
172. the loss surfaces of multilayer networks (Choromanska et al.)‏‎ (09:46, 30 August 2017)
173. learning Fast Approximations of Sparse Coding‏‎ (09:46, 30 August 2017)
174. deep Neural Nets as a Method for Quantitative Structure–Activity Relationships‏‎ (09:46, 30 August 2017)
175. on using very large target vocabulary for neural machine translation‏‎ (09:46, 30 August 2017)
176. strategies for Training Large Scale Neural Network Language Models‏‎ (09:46, 30 August 2017)
177. semi-supervised Learning with Deep Generative Models‏‎ (09:46, 30 August 2017)
178. on the difficulty of training recurrent neural networks‏‎ (09:46, 30 August 2017)
179. mULTIPLE OBJECT RECOGNITION WITH VISUAL ATTENTION‏‎ (09:46, 30 August 2017)
180. stat946f17‏‎ (23:10, 25 September 2017)
181. Deep Transfer Learning with Joint Adaptation Networks‏‎ (15:32, 2 October 2017)
182. Proposal for STAT946 (Deep Learning) final projects Fall 2017‏‎ (12:54, 3 October 2017)
183. Curiosity-driven Exploration by Self-supervised Prediction‏‎ (12:07, 26 October 2017)
184. Hash Embeddings for Efficient Word Representations‏‎ (19:44, 26 October 2017)
185. STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN‏‎ (10:58, 28 October 2017)
186. STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow‏‎ (03:56, 29 October 2017)
187. Understanding the Effective Receptive Field in Deep Convolutional Neural Networks‏‎ (15:12, 7 November 2017)
188. STAT946F17/ Dance Dance Convolution‏‎ (14:50, 24 November 2017)
189. Hierarchical Question-Image Co-Attention for Visual Question Answering‏‎ (19:50, 28 November 2017)
190. Universal Style Transfer via Feature Transforms‏‎ (20:10, 28 November 2017)
191. LightRNN: Memory and Computation-Efficient Recurrent Neural Networks‏‎ (20:18, 28 November 2017)
192. "Why Should I Trust You?": Explaining the Predictions of Any Classifier‏‎ (20:21, 28 November 2017)
193. Imagination-Augmented Agents for Deep Reinforcement Learning‏‎ (20:24, 28 November 2017)
194. STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study‏‎ (20:30, 28 November 2017)
195. Convolutional Sequence to Sequence Learning‏‎ (20:37, 28 November 2017)
196. meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting‏‎ (20:40, 28 November 2017)
197. When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary‏‎ (20:45, 28 November 2017)
198. Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition‏‎ (13:19, 30 November 2017)
199. STAT946F17/ Automated Curriculum Learning for Neural Networks‏‎ (14:37, 30 November 2017)
200. STAT946F17/Decoding with Value Networks for Neural Machine Translation‏‎ (00:09, 3 December 2017)
201. Learning the Number of Neurons in Deep Networks‏‎ (01:20, 3 December 2017)
202. FeUdal Networks for Hierarchical Reinforcement Learning‏‎ (01:59, 3 December 2017)
203. Deep Exploration via Bootstrapped DQN‏‎ (14:17, 3 December 2017)
204. Modular Multitask Reinforcement Learning with Policy Sketches‏‎ (14:25, 3 December 2017)
205. Unsupervised Domain Adaptation with Residual Transfer Networks‏‎ (10:07, 4 December 2017)
206. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks‏‎ (10:18, 4 December 2017)
207. Conditional Image Synthesis with Auxiliary Classifier GANs‏‎ (10:24, 4 December 2017)
208. STAT946F17/ Learning Important Features Through Propagating Activation Differences‏‎ (10:26, 4 December 2017)
209. STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback‏‎ (10:33, 4 December 2017)
210. Learning What and Where to Draw‏‎ (12:35, 4 December 2017)
211. STAT946F17/Conditional Image Generation with PixelCNN Decoders‏‎ (12:47, 4 December 2017)
212. Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition‏‎ (15:00, 4 December 2017)
213. STAT946F17/ Coupled GAN‏‎ (15:02, 4 December 2017)
214. stat946f15/Sequence to sequence learning with neural networks‏‎ (19:49, 5 February 2018)
215. stat946w18/Spectral‏‎ (17:51, 22 February 2018)
216. Breaking the Softmax Bottleneck: A High-Rank RNN Language Model‏‎ (22:22, 23 February 2018)
217. stat946w18/‏‎ (22:53, 28 February 2018)
218. stat441w18/summary 1‏‎ (12:51, 7 March 2018)
219. Imagination Augmented Agents for Deep Reinforcement Learning‏‎ (20:39, 9 March 2018)
220. stat441w18/Convolutional Neural Networks for Sentence Classification‏‎ (03:15, 13 March 2018)
221. stat441w18/e-gan‏‎ (22:00, 14 March 2018)
222. stat441w18/A New Method of Region Embedding for Text Classification‏‎ (12:42, 15 March 2018)
223. stat441w18/mastering-chess-and-shogi-self-play‏‎ (13:58, 15 March 2018)
224. summary‏‎ (17:34, 18 March 2018)
225. stat441w18/Image Question Answering using CNN with Dynamic Parameter Prediction‏‎ (22:03, 19 March 2018)
226. A Knowledge-Grounded Neural Conversation Model‏‎ (13:09, 20 March 2018)
227. stat441w18/Saliency-based Sequential Image Attention with Multiset Prediction‏‎ (14:09, 20 March 2018)
228. Dynamic Routing Between Capsulesl‏‎ (19:54, 20 March 2018)
229. Learning Combinatorial Optimzation‏‎ (23:37, 20 March 2018)
230. Bag of Tricks for Efficient Text Classification‏‎ (22:32, 27 March 2018)
231. Generating Image Descriptions‏‎ (10:58, 29 March 2018)
232. Dynamic Routing Between Capsules‏‎ (12:36, 29 March 2018)
233. One pixel attack for fooling deep neural networks‏‎ (23:54, 30 March 2018)
234. Robust Imitation of Diverse Behaviors‏‎ (01:17, 7 April 2018)
235. stat946w18/Spectral normalization for generative adversial network‏‎ (10:31, 18 April 2018)
236. stat946w18/Predicting Floor-Level for 911 Calls with Neural Networks and Smartphone Sensor Data‏‎ (15:01, 18 April 2018)
237. Word translation without parallel data‏‎ (17:24, 18 April 2018)
238. Understanding Image Motion with Group Representations‏‎ (16:09, 20 April 2018)
239. On The Convergence Of ADAM And Beyond‏‎ (16:54, 20 April 2018)
240. Training And Inference with Integers in Deep Neural Networks‏‎ (21:23, 20 April 2018)
241. stat946w18/Unsupervised Machine Translation Using Monolingual Corpora Only‏‎ (21:29, 20 April 2018)
242. A Neural Representation of Sketch Drawings‏‎ (21:48, 20 April 2018)
243. stat946w18/AmbientGAN: Generative Models from Lossy Measurements‏‎ (22:25, 20 April 2018)
244. Dynamic Routing Between Capsules STAT946‏‎ (22:40, 20 April 2018)
245. MarrNet: 3D Shape Reconstruction via 2.5D Sketches‏‎ (22:42, 20 April 2018)
246. Multi-scale Dense Networks for Resource Efficient Image Classification‏‎ (22:45, 20 April 2018)
247. stat946w18/Tensorized LSTMs‏‎ (22:50, 20 April 2018)
248. Spherical CNNs‏‎ (22:53, 20 April 2018)
249. Wavelet Pooling CNN‏‎ (22:57, 20 April 2018)
250. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space‏‎ (22:59, 20 April 2018)
251. End-to-End Differentiable Adversarial Imitation Learning‏‎ (23:00, 20 April 2018)
252. stat946w18/Self Normalizing Neural Networks‏‎ (23:26, 20 April 2018)
253. stat946w18/Implicit Causal Models for Genome-wide Association Studies‏‎ (23:52, 20 April 2018)
254. Label-Free Supervision of Neural Networks with Physics and Domain Knowledge‏‎ (00:04, 21 April 2018)
255. Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments‏‎ (00:12, 21 April 2018)
256. stat946w18/MaskRNN: Instance Level Video Object Segmentation‏‎ (00:15, 21 April 2018)
257. stat946w18/Synthetic and natural noise both break neural machine translation‏‎ (00:15, 21 April 2018)
258. stat946w18/Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolutional Layers‏‎ (00:18, 21 April 2018)
259. Neural Audio Synthesis of Musical Notes with WaveNet autoencoders‏‎ (00:19, 21 April 2018)
260. Do Deep Neural Networks Suffer from Crowding‏‎ (00:21, 21 April 2018)
261. stat946w18/IMPROVING GANS USING OPTIMAL TRANSPORT‏‎ (00:23, 21 April 2018)
262. One-Shot Imitation Learning‏‎ (00:27, 21 April 2018)
263. Wasserstein Auto-Encoders‏‎ (22:25, 25 April 2018)
264. stat441w18‏‎ (18:02, 31 August 2018)
265. f15Stat946PaperSignUp‏‎ (13:01, 16 October 2018)
266. stat946w18/Hierarchical Representations for Efficient Architecture Search‏‎ (13:41, 16 October 2018)
267. stat841F18/‏‎ (17:50, 9 November 2018)
268. Memory-Based Parameter Adaptation‏‎ (23:48, 9 November 2018)
269. Convolutional Neural Networks for Sentence Classification‏‎ (22:49, 13 November 2018)
270. Summary - A Neural Representation of Sketch Drawings‏‎ (01:32, 14 November 2018)
271. stat441F18/TCNLM‏‎ (23:45, 14 November 2018)
272. Robust Probabilistic Modeling with Bayesian Data Reweighting‏‎ (02:35, 19 November 2018)
273. stat946w18‏‎ (18:05, 19 November 2018)
274. Unsupervised Machine Translation Using Monolingual Corpora Only‏‎ (22:48, 19 November 2018)
275. stat441F18/YOLO‏‎ (16:04, 20 November 2018)
276. Representations of Words and Phrases and their Compositionality‏‎ (13:24, 21 November 2018)
277. Gradient Episodic Memory for Continual Learning‏‎ (13:34, 21 November 2018)
278. Deep Residual Learning for Image Recognition‏‎ (14:42, 22 November 2018)
279. Towards Deep Learning Models Resistant to Adversarial Attacks‏‎ (03:01, 23 November 2018)
280. Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness‏‎ (17:26, 26 November 2018)
281. A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques‏‎ (14:03, 27 November 2018)
282. Batch Normalization Summary‏‎ (02:07, 28 November 2018)
283. XGBoost: A Scalable Tree Boosting System‏‎ (18:07, 28 November 2018)
284. Batch Normalization‏‎ (21:10, 28 November 2018)
285. stat946F18‏‎ (03:22, 2 December 2018)
286. Obfuscated Gradients Give a False Sense of Security Circumventing Defenses to Adversarial Examples‏‎ (17:54, 6 December 2018)
287. Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction‏‎ (21:21, 6 December 2018)
288. Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling‏‎ (18:39, 10 December 2018)
289. Wasserstein Auto-encoders‏‎ (19:25, 10 December 2018)
290. stat946w18/Towards Image Understanding From Deep Compression Without Decoding‏‎ (20:18, 10 December 2018)
291. A Bayesian Perspective on Generalization and Stochastic Gradient Descent‏‎ (20:32, 10 December 2018)
292. Reinforcement Learning of Theorem Proving‏‎ (20:45, 10 December 2018)
293. Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin‏‎ (20:52, 10 December 2018)
294. Hierarchical Representations for Efficient Architecture Search‏‎ (12:53, 11 December 2018)
295. stat946w18/Wavelet Pooling For Convolutional Neural Networks‏‎ (20:50, 11 December 2018)
296. Co-Teaching‏‎ (21:02, 11 December 2018)
297. Visual Reinforcement Learning with Imagined Goals‏‎ (21:47, 11 December 2018)
298. F18-STAT841-Proposal‏‎ (14:41, 13 December 2018)
299. MULTI-VIEW DATA GENERATION WITHOUT VIEW SUPERVISION‏‎ (00:34, 14 December 2018)
300. DETECTING STATISTICAL INTERACTIONS FROM NEURAL NETWORK WEIGHTS‏‎ (01:08, 14 December 2018)
301. stat946F18/Autoregressive Convolutional Neural Networks for Asynchronous Time Series‏‎ (10:13, 14 December 2018)
302. F18-STAT946-Proposal‏‎ (15:50, 14 December 2018)
303. DCN plus: Mixed Objective And Deep Residual Coattention for Question Answering‏‎ (17:49, 14 December 2018)
304. Searching For Efficient Multi Scale Architectures For Dense Image Prediction‏‎ (18:12, 14 December 2018)
305. Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias‏‎ (18:21, 14 December 2018)
306. stat946F18/Beyond Word Importance Contextual Decomposition to Extract Interactions from LSTMs‏‎ (18:21, 16 December 2018)
307. Pixels to Graphs by Associative Embedding‏‎ (18:26, 16 December 2018)
308. End to end Active Object Tracking via Reinforcement Learning‏‎ (18:27, 16 December 2018)
309. stat946F18/differentiableplasticity‏‎ (18:28, 16 December 2018)
310. DeepVO Towards end to end visual odometry with deep RNN‏‎ (18:30, 16 December 2018)
311. Synthesizing Programs for Images usingReinforced Adversarial Learning‏‎ (18:31, 16 December 2018)
312. Learning to Teach‏‎ (18:40, 16 December 2018)
313. Annotating Object Instances with a Polygon RNN‏‎ (18:41, 16 December 2018)
314. Zero-Shot Visual Imitation‏‎ (18:42, 16 December 2018)
315. Predicting Floor Level For 911 Calls with Neural Network and Smartphone Sensor Data‏‎ (18:43, 16 December 2018)
316. Countering Adversarial Images Using Input Transformations‏‎ (18:45, 16 December 2018)
317. Learning to Navigate in Cities Without a Map‏‎ (00:24, 17 December 2018)
318. conditional neural process‏‎ (00:26, 17 December 2018)
319. Unsupervised Neural Machine Translation‏‎ (00:28, 17 December 2018)
320. policy optimization with demonstrations‏‎ (00:32, 17 December 2018)
321. ShakeDrop Regularization‏‎ (00:34, 17 December 2018)
322. CapsuleNets‏‎ (00:36, 17 December 2018)
323. Fix your classifier: the marginal value of training the last weight layer‏‎ (00:39, 17 December 2018)
324. a neural representation of sketch drawings‏‎ (00:40, 17 December 2018)
325. Fairness Without Demographics in Repeated Loss Minimization‏‎ (00:42, 17 December 2018)
326. DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE‏‎ (13:28, 17 December 2018)
327. learn what not to learn‏‎ (13:38, 17 December 2018)
328. stat441F18‏‎ (11:33, 5 September 2020)
329. f11Stat841presentation‏‎ (12:49, 6 October 2020)
330. f11Stat841proposal‏‎ (14:56, 11 October 2020)
331. stat946F20/GradientLess Descent‏‎ (16:17, 31 October 2020)
332. ALBERT‏‎ (11:44, 2 November 2020)
333. Meta-Learning-For-Domain Generalization‏‎ (15:47, 9 November 2020)
334. Task Understanding from Confushing Multitask Data‏‎ (19:25, 15 November 2020)
335. Influenza Forecasting Framework based on Gaussian processes Summary‏‎ (00:02, 16 November 2020)
336. Pre-Training-Tasks-For-Embedding-Based-Large-Scale-Retrieval‏‎ (19:52, 17 November 2020)
337. stat841f11‏‎ (12:30, 18 November 2020)
338. f17Stat946PaperSignUp‏‎ (19:28, 19 November 2020)
339. ModelFramework.jpg‏‎ (13:14, 24 November 2020)
340. Improving neural networks by preventing co-adaption of feature detectors 2020 Fall‏‎ (22:41, 26 November 2020)
341. time-series-using-GAN‏‎ (21:02, 1 December 2020)
342. From Variational to Deterministic Autoencoders‏‎ (19:11, 2 December 2020)
343. Streaming Bayesian Inference for Crowdsourced Classification‏‎ (23:20, 4 December 2020)
344. IPBoost‏‎ (00:18, 5 December 2020)
345. Semantic Relation Classification——via Convolution Neural Network‏‎ (21:25, 5 December 2020)
346. Breaking Certified Defenses: Semantic Adversarial Examples With Spoofed Robustness Certificates‏‎ (06:58, 6 December 2020)
347. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations‏‎ (15:51, 6 December 2020)
348. SuperGLUE‏‎ (16:58, 6 December 2020)
349. THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS‏‎ (17:02, 6 December 2020)
350. Adversarial Fisher Vectors for Unsupervised Representation Learning‏‎ (17:50, 6 December 2020)
351. Augmix: New Data Augmentation method to increase the robustness of the algorithm‏‎ (18:44, 6 December 2020)
352. Learning The Difference That Makes A Difference With Counterfactually-Augmented Data‏‎ (19:42, 6 December 2020)
353. One-Shot Object Detection with Co-Attention and Co-Excitation‏‎ (21:53, 6 December 2020)
354. what game are we playing‏‎ (23:55, 6 December 2020)
355. Going Deeper with Convolutions‏‎ (00:29, 7 December 2020)
356. Meta-Learning For Domain Generalization‏‎ (00:41, 7 December 2020)
357. a fair comparison of graph neural networks for graph classification‏‎ (00:54, 7 December 2020)
358. Influenza Forecasting Framework based on Gaussian Processes‏‎ (14:13, 7 December 2020)
359. Neural ODEs‏‎ (15:01, 7 December 2020)
360. Adversarial Attacks on Copyright Detection Systems‏‎ (15:03, 7 December 2020)
361. Task Understanding from Confusing Multi-task Data‏‎ (15:35, 7 December 2020)
362. Graph Structure of Neural Networks‏‎ (17:06, 7 December 2020)
363. Extreme Multi-label Text Classification‏‎ (22:04, 7 December 2020)
364. Mask RCNN‏‎ (22:37, 7 December 2020)
365. Dense Passage Retrieval for Open-Domain Question Answering‏‎ (22:57, 7 December 2020)
366. Functional regularisation for continual learning with gaussian processes‏‎ (23:25, 7 December 2020)
367. orthogonal gradient descent for continual learning‏‎ (23:30, 7 December 2020)
368. Superhuman AI for Multiplayer Poker‏‎ (00:06, 8 December 2020)
369. Adacompress: Adaptive compression for online computer vision services‏‎ (00:07, 8 December 2020)
370. Summary for survey of neural networked-based cancer prediction models from microarray data‏‎ (00:08, 8 December 2020)
371. ALBERT: A Lite BERT for Self-supervised Learning of Language Representations‏‎ (21:39, 9 December 2020)
372. GradientLess Descent‏‎ (22:06, 9 December 2020)
373. This Looks Like That: Deep Learning for Interpretable Image Recognition‏‎ (23:36, 9 December 2020)
374. The Curious Case of Degeneration‏‎ (05:41, 10 December 2020)
375. DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION‏‎ (06:07, 10 December 2020)
376. STAT946F20/BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding‏‎ (06:36, 10 December 2020)
377. Pre-Training Tasks For Embedding-Based Large-Scale Retrieval‏‎ (22:17, 12 December 2020)
378. Self-Supervised Learning of Pretext-Invariant Representations‏‎ (23:02, 12 December 2020)
379. CRITICAL ANALYSIS OF SELF-SUPERVISION‏‎ (00:08, 13 December 2020)
380. Time-series Generative Adversarial Networks‏‎ (00:28, 13 December 2020)
381. Roberta‏‎ (00:54, 13 December 2020)
382. BERTScore: Evaluating Text Generation with BERT‏‎ (01:32, 13 December 2020)
383. When Does Self-Supervision Improve Few-Shot Learning?‏‎ (01:46, 13 December 2020)
384. Model Agnostic Learning of Semantic Features‏‎ (01:58, 13 December 2020)
385. Surround Vehicle Motion Prediction‏‎ (23:12, 14 December 2020)
386. Evaluating Machine Accuracy on ImageNet‏‎ (00:08, 15 December 2020)
387. Speech2Face: Learning the Face Behind a Voice‏‎ (03:36, 15 December 2020)
388. Research Papers Classification System‏‎ (04:18, 15 December 2020)
389. Describtion of Text Mining‏‎ (05:11, 15 December 2020)
390. Improving neural networks by preventing co-adaption of feature detectors‏‎ (05:51, 15 December 2020)
391. Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms‏‎ (07:19, 15 December 2020)
392. Loss Function Search for Face Recognition‏‎ (09:51, 15 December 2020)
393. Being Bayesian about Categorical Probability‏‎ (10:57, 15 December 2020)
394. Efficient kNN Classification with Different Numbers of Nearest Neighbors‏‎ (03:46, 16 December 2020)
395. A universal SNP and small-indel variant caller using deep neural networks‏‎ (04:24, 16 December 2020)
396. Music Recommender System Based using CRNN‏‎ (04:38, 16 December 2020)
397. Neural Speed Reading via Skim-RNN‏‎ (05:09, 16 December 2020)
398. Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence‏‎ (05:15, 16 December 2020)
399. main Page‏‎ (22:53, 5 September 2021)
400. Don't Just Blame Over-parametrization Summary‏‎ (23:54, 9 November 2021)
401. Another look at distance-weighted discrimination‏‎ (03:02, 13 November 2021)
402. Deep Learning for Extreme Multi-label Text Classification‏‎ (21:50, 13 November 2021)
403. Depthwise Convolution Is All You Need for Learning Multiple Visual Domains‏‎ (00:44, 14 November 2021)
404. The Detection of Black Ice Accidents Using CNNs‏‎ (15:54, 14 November 2021)
405. Don't Just Blame Over-parametrization‏‎ (19:11, 15 November 2021)
406. Do Vision Transformers See Like CNN‏‎ (00:11, 17 November 2021)
407. Patch Based Convolutional Neural Network for Whole Slide Tissue Image Classification‏‎ (14:07, 19 November 2021)
408. Predicting Hurricane Trajectories Using a Recurrent Neural Network‏‎ (09:46, 20 November 2021)
409. Deep Double Descent Where Bigger Models and More Data Hurt‏‎ (21:29, 20 November 2021)
410. Dialog-based Language Learning‏‎ (13:59, 21 November 2021)
411. Convolutional neural network for diagnosis of viral pneumonia and COVID-19 alike diseases‏‎ (14:56, 21 November 2021)
412. Bsodjahi‏‎ (13:46, 22 November 2021)
413. Summary of A Probabilistic Approach to Neural Network Pruning‏‎ (00:30, 23 November 2021)
414. Research on Multiple Classification Based on Improved SVM Algorithm for Balanced Binary Decision Tree‏‎ (01:45, 23 November 2021)
415. CatBoost: unbiased boosting with categorical features‏‎ (02:36, 23 November 2021)
416. Automatic Bank Fraud Detection Using Support Vector Machines‏‎ (19:07, 24 November 2021)
417. A Game Theoretic Approach to Class-wise Selective Rationalization‏‎ (13:14, 25 November 2021)
418. U-Time:A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging Summary‏‎ (01:41, 26 November 2021)
419. test‏‎ (17:39, 26 November 2021)
420. Poison Frogs Neural Networks‏‎ (18:29, 26 November 2021)
421. Robust Imitation Learning from Noisy Demonstrations‏‎ (19:23, 27 November 2021)
422. Wide and Deep Learning for Recommender Systems‏‎ (04:28, 1 December 2021)
423. stat441F21‏‎ (04:28, 1 December 2021)
424. stat940F21‏‎ (23:29, 1 December 2021)
425. Deep Residual Learning for Image Recognition Summary‏‎ (12:01, 3 December 2021)
426. XGBoost‏‎ (02:21, 5 December 2021)
427. F21-STAT 940-Proposal‏‎ (12:50, 16 December 2021)
428. Traffic Sign Recognition System (TSRS): SVM and Convolutional Neural Network‏‎ (18:44, 17 December 2021)
429. F21-STAT 441/841 CM 763-Proposal‏‎ (09:48, 22 December 2021)
430. Bayesian Network as a Decision Tool for Predicting ALS Disease‏‎ (10:31, 17 May 2022)