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

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  1. quantifying cancer progression with conjunctive Bayesian networks‏‎ (09:46, 30 August 2017)
  2. incremental Learning, Clustering and Hierarchy Formation of Whole Body Motion Patterns using Adaptive Hidden Markov Chains(Summary)‏‎ (09:46, 30 August 2017)
  3. video-based face recognition using Adaptive HMM‏‎ (09:46, 30 August 2017)
  4. an HDP-HMM for Systems with State Persistence‏‎ (09:46, 30 August 2017)
  5. a Dynamic Bayesian Network Click Model for web search ranking‏‎ (09:46, 30 August 2017)
  6. context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis‏‎ (09:46, 30 August 2017)
  7. stat340s13‏‎ (09:46, 30 August 2017)
  8. stat946s13‏‎ (09:46, 30 August 2017)
  9. maximum likelihood estimation of intrinsic dimension‏‎ (09:46, 30 August 2017)
  10. s13Stat946proposal‏‎ (09:46, 30 August 2017)
  11. inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method‏‎ (09:46, 30 August 2017)
  12. residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models‏‎ (09:46, 30 August 2017)
  13. positive Semidefinite Metric Learning Using Boosting-like Algorithms‏‎ (09:46, 30 August 2017)
  14. hierarchical Dirichlet Processes‏‎ (09:46, 30 August 2017)
  15. kernel Dimension Reduction in Regression‏‎ (09:46, 30 August 2017)
  16. kernelized Locality-Sensitive Hashing‏‎ (09:46, 30 August 2017)
  17. hamming Distance Metric Learning‏‎ (09:46, 30 August 2017)
  18. kernel Spectral Clustering for Community Detection in Complex Networks‏‎ (09:46, 30 August 2017)
  19. adaptive dimension reduction for clustering high dimensional data‏‎ (09:46, 30 August 2017)
  20. parametric Local Metric Learning for Nearest Neighbor Classification‏‎ (09:46, 30 August 2017)
  21. metric and Kernel Learning Using a Linear Transformation‏‎ (09:46, 30 August 2017)
  22. measuring statistical dependence with Hilbert-Schmidt norms‏‎ (09:46, 30 August 2017)
  23. the Indian Buffet Process: An Introduction and Review‏‎ (09:46, 30 August 2017)
  24. large-Scale Supervised Sparse Principal Component Analysis‏‎ (09:46, 30 August 2017)
  25. measuring and testing dependence by correlation of distances‏‎ (09:46, 30 August 2017)
  26. rOBPCA: A New Approach to Robust Principal Component Analysis‏‎ (09:46, 30 August 2017)
  27. cardinality Restricted Boltzmann Machines‏‎ (09:46, 30 August 2017)
  28. nonparametric Latent Feature Models for Link Prediction‏‎ (09:46, 30 August 2017)
  29. stat841f14‏‎ (09:46, 30 August 2017)
  30. sandbox to test w2l‏‎ (09:46, 30 August 2017)
  31. f14Stat842EditorSignUp‏‎ (09:46, 30 August 2017)
  32. proposal for STAT946 (Deep Learning) final projects Fall 2015‏‎ (09:46, 30 August 2017)
  33. stat946f15‏‎ (09:46, 30 August 2017)
  34. graves et al., Speech recognition with deep recurrent neural networks‏‎ (09:46, 30 August 2017)
  35. overfeat: integrated recognition, localization and detection using convolutional networks‏‎ (09:46, 30 August 2017)
  36. goingDeeperWithConvolutions‏‎ (09:46, 30 August 2017)
  37. parsing natural scenes and natural language with recursive neural networks‏‎ (09:46, 30 August 2017)
  38. human-level control through deep reinforcement learning‏‎ (09:46, 30 August 2017)
  39. learning Hierarchical Features for Scene Labeling‏‎ (09:46, 30 August 2017)
  40. dropout‏‎ (09:46, 30 August 2017)
  41. deepGenerativeModels‏‎ (09:46, 30 August 2017)
  42. deep neural networks for acoustic modeling in speech recognition‏‎ (09:46, 30 August 2017)
  43. deep Sparse Rectifier Neural Networks‏‎ (09:46, 30 August 2017)
  44. stat946f15/Deep neural networks for acoustic modeling in speech recognition‏‎ (09:46, 30 August 2017)
  45. neural Turing Machines‏‎ (09:46, 30 August 2017)
  46. learning2reasoning‏‎ (09:46, 30 August 2017)
  47. neural Machine Translation: Jointly Learning to Align and Translate‏‎ (09:46, 30 August 2017)
  48. show, Attend and Tell: Neural Image Caption Generation with Visual Attention‏‎ (09:46, 30 August 2017)
  49. imageNet Classification with Deep Convolutional Neural Networks‏‎ (09:46, 30 August 2017)
  50. natural language processing (almost) from scratch.‏‎ (09:46, 30 August 2017)
  51. from Machine Learning to Machine Reasoning‏‎ (09:46, 30 August 2017)
  52. question Answering with Subgraph Embeddings‏‎ (09:46, 30 August 2017)
  53. memory Networks‏‎ (09:46, 30 August 2017)
  54. joint training of a convolutional network and a graphical model for human pose estimation‏‎ (09:46, 30 August 2017)
  55. genetics‏‎ (09:46, 30 August 2017)
  56. learning Phrase Representations‏‎ (09:46, 30 August 2017)
  57. scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Machines‏‎ (09:46, 30 August 2017)
  58. deep Learning of the tissue-regulated splicing code‏‎ (09:46, 30 August 2017)
  59. deep Convolutional Neural Networks For LVCSR‏‎ (09:46, 30 August 2017)
  60. the Wake-Sleep Algorithm for Unsupervised Neural Networks‏‎ (09:46, 30 August 2017)
  61. very Deep Convoloutional Networks for Large-Scale Image Recognition‏‎ (09:46, 30 August 2017)
  62. extracting and Composing Robust Features with Denoising Autoencoders‏‎ (09:46, 30 August 2017)
  63. deep Generative Stochastic Networks Trainable by Backprop‏‎ (09:46, 30 August 2017)
  64. learning Long-Range Vision for Autonomous Off-Road Driving‏‎ (09:46, 30 August 2017)
  65. continuous space language models‏‎ (09:46, 30 August 2017)
  66. generating text with recurrent neural networks‏‎ (09:46, 30 August 2017)
  67. learning Convolutional Feature Hierarchies for Visual Recognition‏‎ (09:46, 30 August 2017)
  68. distributed Representations of Words and Phrases and their Compositionality‏‎ (09:46, 30 August 2017)
  69. on the Number of Linear Regions of Deep Neural Networks‏‎ (09:46, 30 August 2017)
  70. the Manifold Tangent Classifier‏‎ (09:46, 30 August 2017)
  71. the loss surfaces of multilayer networks (Choromanska et al.)‏‎ (09:46, 30 August 2017)
  72. a fast learning algorithm for deep belief nets‏‎ (09:46, 30 August 2017)
  73. on using very large target vocabulary for neural machine translation‏‎ (09:46, 30 August 2017)
  74. strategies for Training Large Scale Neural Network Language Models‏‎ (09:46, 30 August 2017)
  75. learning Fast Approximations of Sparse Coding‏‎ (09:46, 30 August 2017)
  76. deep Neural Nets as a Method for Quantitative Structure–Activity Relationships‏‎ (09:46, 30 August 2017)
  77. semi-supervised Learning with Deep Generative Models‏‎ (09:46, 30 August 2017)
  78. on the difficulty of training recurrent neural networks‏‎ (09:46, 30 August 2017)
  79. mULTIPLE OBJECT RECOGNITION WITH VISUAL ATTENTION‏‎ (09:46, 30 August 2017)
  80. stat946f17‏‎ (23:10, 25 September 2017)
  81. Deep Transfer Learning with Joint Adaptation Networks‏‎ (15:32, 2 October 2017)
  82. Proposal for STAT946 (Deep Learning) final projects Fall 2017‏‎ (12:54, 3 October 2017)
  83. Curiosity-driven Exploration by Self-supervised Prediction‏‎ (12:07, 26 October 2017)
  84. Hash Embeddings for Efficient Word Representations‏‎ (19:44, 26 October 2017)
  85. STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN‏‎ (10:58, 28 October 2017)
  86. STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow‏‎ (03:56, 29 October 2017)
  87. Understanding the Effective Receptive Field in Deep Convolutional Neural Networks‏‎ (15:12, 7 November 2017)
  88. STAT946F17/ Dance Dance Convolution‏‎ (14:50, 24 November 2017)
  89. Hierarchical Question-Image Co-Attention for Visual Question Answering‏‎ (19:50, 28 November 2017)
  90. Universal Style Transfer via Feature Transforms‏‎ (20:10, 28 November 2017)
  91. LightRNN: Memory and Computation-Efficient Recurrent Neural Networks‏‎ (20:18, 28 November 2017)
  92. "Why Should I Trust You?": Explaining the Predictions of Any Classifier‏‎ (20:21, 28 November 2017)
  93. Imagination-Augmented Agents for Deep Reinforcement Learning‏‎ (20:24, 28 November 2017)
  94. STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study‏‎ (20:30, 28 November 2017)
  95. Convolutional Sequence to Sequence Learning‏‎ (20:37, 28 November 2017)
  96. meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting‏‎ (20:40, 28 November 2017)
  97. When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary‏‎ (20:45, 28 November 2017)
  98. Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition‏‎ (13:19, 30 November 2017)
  99. STAT946F17/ Automated Curriculum Learning for Neural Networks‏‎ (14:37, 30 November 2017)
  100. STAT946F17/Decoding with Value Networks for Neural Machine Translation‏‎ (00:09, 3 December 2017)
  101. Learning the Number of Neurons in Deep Networks‏‎ (01:20, 3 December 2017)
  102. FeUdal Networks for Hierarchical Reinforcement Learning‏‎ (01:59, 3 December 2017)
  103. Deep Exploration via Bootstrapped DQN‏‎ (14:17, 3 December 2017)
  104. Modular Multitask Reinforcement Learning with Policy Sketches‏‎ (14:25, 3 December 2017)
  105. Unsupervised Domain Adaptation with Residual Transfer Networks‏‎ (10:07, 4 December 2017)
  106. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks‏‎ (10:18, 4 December 2017)
  107. Conditional Image Synthesis with Auxiliary Classifier GANs‏‎ (10:24, 4 December 2017)
  108. STAT946F17/ Learning Important Features Through Propagating Activation Differences‏‎ (10:26, 4 December 2017)
  109. STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback‏‎ (10:33, 4 December 2017)
  110. Learning What and Where to Draw‏‎ (12:35, 4 December 2017)
  111. STAT946F17/Conditional Image Generation with PixelCNN Decoders‏‎ (12:47, 4 December 2017)
  112. Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition‏‎ (15:00, 4 December 2017)
  113. STAT946F17/ Coupled GAN‏‎ (15:02, 4 December 2017)
  114. stat946f15/Sequence to sequence learning with neural networks‏‎ (19:49, 5 February 2018)
  115. stat946w18/Spectral‏‎ (17:51, 22 February 2018)
  116. Breaking the Softmax Bottleneck: A High-Rank RNN Language Model‏‎ (22:22, 23 February 2018)
  117. stat946w18/‏‎ (22:53, 28 February 2018)
  118. stat441w18/summary 1‏‎ (12:51, 7 March 2018)
  119. Imagination Augmented Agents for Deep Reinforcement Learning‏‎ (20:39, 9 March 2018)
  120. stat441w18/Convolutional Neural Networks for Sentence Classification‏‎ (03:15, 13 March 2018)
  121. stat441w18/e-gan‏‎ (22:00, 14 March 2018)
  122. stat441w18/A New Method of Region Embedding for Text Classification‏‎ (12:42, 15 March 2018)
  123. stat441w18/mastering-chess-and-shogi-self-play‏‎ (13:58, 15 March 2018)
  124. summary‏‎ (17:34, 18 March 2018)
  125. stat441w18/Image Question Answering using CNN with Dynamic Parameter Prediction‏‎ (22:03, 19 March 2018)
  126. A Knowledge-Grounded Neural Conversation Model‏‎ (13:09, 20 March 2018)
  127. stat441w18/Saliency-based Sequential Image Attention with Multiset Prediction‏‎ (14:09, 20 March 2018)
  128. Dynamic Routing Between Capsulesl‏‎ (19:54, 20 March 2018)
  129. Learning Combinatorial Optimzation‏‎ (23:37, 20 March 2018)
  130. Bag of Tricks for Efficient Text Classification‏‎ (22:32, 27 March 2018)
  131. Generating Image Descriptions‏‎ (10:58, 29 March 2018)
  132. Dynamic Routing Between Capsules‏‎ (12:36, 29 March 2018)
  133. One pixel attack for fooling deep neural networks‏‎ (23:54, 30 March 2018)
  134. Robust Imitation of Diverse Behaviors‏‎ (01:17, 7 April 2018)
  135. stat946w18/Spectral normalization for generative adversial network‏‎ (10:31, 18 April 2018)
  136. stat946w18/Predicting Floor-Level for 911 Calls with Neural Networks and Smartphone Sensor Data‏‎ (15:01, 18 April 2018)
  137. Word translation without parallel data‏‎ (17:24, 18 April 2018)
  138. Understanding Image Motion with Group Representations‏‎ (16:09, 20 April 2018)
  139. On The Convergence Of ADAM And Beyond‏‎ (16:54, 20 April 2018)
  140. Training And Inference with Integers in Deep Neural Networks‏‎ (21:23, 20 April 2018)
  141. stat946w18/Unsupervised Machine Translation Using Monolingual Corpora Only‏‎ (21:29, 20 April 2018)
  142. A Neural Representation of Sketch Drawings‏‎ (21:48, 20 April 2018)
  143. stat946w18/AmbientGAN: Generative Models from Lossy Measurements‏‎ (22:25, 20 April 2018)
  144. Dynamic Routing Between Capsules STAT946‏‎ (22:40, 20 April 2018)
  145. MarrNet: 3D Shape Reconstruction via 2.5D Sketches‏‎ (22:42, 20 April 2018)
  146. Multi-scale Dense Networks for Resource Efficient Image Classification‏‎ (22:45, 20 April 2018)
  147. stat946w18/Tensorized LSTMs‏‎ (22:50, 20 April 2018)
  148. Spherical CNNs‏‎ (22:53, 20 April 2018)
  149. Wavelet Pooling CNN‏‎ (22:57, 20 April 2018)
  150. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space‏‎ (22:59, 20 April 2018)
  151. End-to-End Differentiable Adversarial Imitation Learning‏‎ (23:00, 20 April 2018)
  152. stat946w18/Self Normalizing Neural Networks‏‎ (23:26, 20 April 2018)
  153. stat946w18/Implicit Causal Models for Genome-wide Association Studies‏‎ (23:52, 20 April 2018)
  154. Label-Free Supervision of Neural Networks with Physics and Domain Knowledge‏‎ (00:04, 21 April 2018)
  155. Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments‏‎ (00:12, 21 April 2018)
  156. stat946w18/MaskRNN: Instance Level Video Object Segmentation‏‎ (00:15, 21 April 2018)
  157. stat946w18/Synthetic and natural noise both break neural machine translation‏‎ (00:15, 21 April 2018)
  158. stat946w18/Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolutional Layers‏‎ (00:18, 21 April 2018)
  159. Neural Audio Synthesis of Musical Notes with WaveNet autoencoders‏‎ (00:19, 21 April 2018)
  160. Do Deep Neural Networks Suffer from Crowding‏‎ (00:21, 21 April 2018)
  161. stat946w18/IMPROVING GANS USING OPTIMAL TRANSPORT‏‎ (00:23, 21 April 2018)
  162. One-Shot Imitation Learning‏‎ (00:27, 21 April 2018)
  163. Wasserstein Auto-Encoders‏‎ (22:25, 25 April 2018)
  164. stat441w18‏‎ (18:02, 31 August 2018)
  165. f15Stat946PaperSignUp‏‎ (13:01, 16 October 2018)
  166. stat946w18/Hierarchical Representations for Efficient Architecture Search‏‎ (13:41, 16 October 2018)
  167. stat841F18/‏‎ (17:50, 9 November 2018)
  168. Memory-Based Parameter Adaptation‏‎ (23:48, 9 November 2018)
  169. Convolutional Neural Networks for Sentence Classification‏‎ (22:49, 13 November 2018)
  170. Summary - A Neural Representation of Sketch Drawings‏‎ (01:32, 14 November 2018)
  171. stat441F18/TCNLM‏‎ (23:45, 14 November 2018)
  172. Robust Probabilistic Modeling with Bayesian Data Reweighting‏‎ (02:35, 19 November 2018)
  173. stat946w18‏‎ (18:05, 19 November 2018)
  174. Unsupervised Machine Translation Using Monolingual Corpora Only‏‎ (22:48, 19 November 2018)
  175. stat441F18/YOLO‏‎ (16:04, 20 November 2018)
  176. Representations of Words and Phrases and their Compositionality‏‎ (13:24, 21 November 2018)
  177. Gradient Episodic Memory for Continual Learning‏‎ (13:34, 21 November 2018)
  178. Deep Residual Learning for Image Recognition‏‎ (14:42, 22 November 2018)
  179. Towards Deep Learning Models Resistant to Adversarial Attacks‏‎ (03:01, 23 November 2018)
  180. Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness‏‎ (17:26, 26 November 2018)
  181. A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques‏‎ (14:03, 27 November 2018)
  182. Batch Normalization Summary‏‎ (02:07, 28 November 2018)
  183. XGBoost: A Scalable Tree Boosting System‏‎ (18:07, 28 November 2018)
  184. Batch Normalization‏‎ (21:10, 28 November 2018)
  185. stat946F18‏‎ (03:22, 2 December 2018)
  186. Obfuscated Gradients Give a False Sense of Security Circumventing Defenses to Adversarial Examples‏‎ (17:54, 6 December 2018)
  187. Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction‏‎ (21:21, 6 December 2018)
  188. Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling‏‎ (18:39, 10 December 2018)
  189. Wasserstein Auto-encoders‏‎ (19:25, 10 December 2018)
  190. stat946w18/Towards Image Understanding From Deep Compression Without Decoding‏‎ (20:18, 10 December 2018)
  191. A Bayesian Perspective on Generalization and Stochastic Gradient Descent‏‎ (20:32, 10 December 2018)
  192. Reinforcement Learning of Theorem Proving‏‎ (20:45, 10 December 2018)
  193. Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin‏‎ (20:52, 10 December 2018)
  194. Hierarchical Representations for Efficient Architecture Search‏‎ (12:53, 11 December 2018)
  195. stat946w18/Wavelet Pooling For Convolutional Neural Networks‏‎ (20:50, 11 December 2018)
  196. Co-Teaching‏‎ (21:02, 11 December 2018)
  197. Visual Reinforcement Learning with Imagined Goals‏‎ (21:47, 11 December 2018)
  198. F18-STAT841-Proposal‏‎ (14:41, 13 December 2018)
  199. MULTI-VIEW DATA GENERATION WITHOUT VIEW SUPERVISION‏‎ (00:34, 14 December 2018)
  200. DETECTING STATISTICAL INTERACTIONS FROM NEURAL NETWORK WEIGHTS‏‎ (01:08, 14 December 2018)
  201. stat946F18/Autoregressive Convolutional Neural Networks for Asynchronous Time Series‏‎ (10:13, 14 December 2018)
  202. F18-STAT946-Proposal‏‎ (15:50, 14 December 2018)
  203. DCN plus: Mixed Objective And Deep Residual Coattention for Question Answering‏‎ (17:49, 14 December 2018)
  204. Searching For Efficient Multi Scale Architectures For Dense Image Prediction‏‎ (18:12, 14 December 2018)
  205. Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias‏‎ (18:21, 14 December 2018)
  206. stat946F18/Beyond Word Importance Contextual Decomposition to Extract Interactions from LSTMs‏‎ (18:21, 16 December 2018)
  207. Pixels to Graphs by Associative Embedding‏‎ (18:26, 16 December 2018)
  208. End to end Active Object Tracking via Reinforcement Learning‏‎ (18:27, 16 December 2018)
  209. stat946F18/differentiableplasticity‏‎ (18:28, 16 December 2018)
  210. DeepVO Towards end to end visual odometry with deep RNN‏‎ (18:30, 16 December 2018)
  211. Synthesizing Programs for Images usingReinforced Adversarial Learning‏‎ (18:31, 16 December 2018)
  212. Learning to Teach‏‎ (18:40, 16 December 2018)
  213. Annotating Object Instances with a Polygon RNN‏‎ (18:41, 16 December 2018)
  214. Zero-Shot Visual Imitation‏‎ (18:42, 16 December 2018)
  215. Predicting Floor Level For 911 Calls with Neural Network and Smartphone Sensor Data‏‎ (18:43, 16 December 2018)
  216. Countering Adversarial Images Using Input Transformations‏‎ (18:45, 16 December 2018)
  217. Learning to Navigate in Cities Without a Map‏‎ (00:24, 17 December 2018)
  218. conditional neural process‏‎ (00:26, 17 December 2018)
  219. Unsupervised Neural Machine Translation‏‎ (00:28, 17 December 2018)
  220. policy optimization with demonstrations‏‎ (00:32, 17 December 2018)
  221. ShakeDrop Regularization‏‎ (00:34, 17 December 2018)
  222. CapsuleNets‏‎ (00:36, 17 December 2018)
  223. Fix your classifier: the marginal value of training the last weight layer‏‎ (00:39, 17 December 2018)
  224. a neural representation of sketch drawings‏‎ (00:40, 17 December 2018)
  225. Fairness Without Demographics in Repeated Loss Minimization‏‎ (00:42, 17 December 2018)
  226. DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE‏‎ (13:28, 17 December 2018)
  227. learn what not to learn‏‎ (13:38, 17 December 2018)
  228. stat441F18‏‎ (11:33, 5 September 2020)
  229. f11Stat841presentation‏‎ (12:49, 6 October 2020)
  230. f11Stat841proposal‏‎ (14:56, 11 October 2020)
  231. stat946F20/GradientLess Descent‏‎ (16:17, 31 October 2020)
  232. ALBERT‏‎ (11:44, 2 November 2020)
  233. Meta-Learning-For-Domain Generalization‏‎ (15:47, 9 November 2020)
  234. Task Understanding from Confushing Multitask Data‏‎ (19:25, 15 November 2020)
  235. Influenza Forecasting Framework based on Gaussian processes Summary‏‎ (00:02, 16 November 2020)
  236. Pre-Training-Tasks-For-Embedding-Based-Large-Scale-Retrieval‏‎ (19:52, 17 November 2020)
  237. stat841f11‏‎ (12:30, 18 November 2020)
  238. f17Stat946PaperSignUp‏‎ (19:28, 19 November 2020)
  239. ModelFramework.jpg‏‎ (13:14, 24 November 2020)
  240. Improving neural networks by preventing co-adaption of feature detectors 2020 Fall‏‎ (22:41, 26 November 2020)
  241. time-series-using-GAN‏‎ (21:02, 1 December 2020)
  242. From Variational to Deterministic Autoencoders‏‎ (19:11, 2 December 2020)
  243. Streaming Bayesian Inference for Crowdsourced Classification‏‎ (23:20, 4 December 2020)
  244. IPBoost‏‎ (00:18, 5 December 2020)
  245. Semantic Relation Classification——via Convolution Neural Network‏‎ (21:25, 5 December 2020)
  246. Breaking Certified Defenses: Semantic Adversarial Examples With Spoofed Robustness Certificates‏‎ (06:58, 6 December 2020)
  247. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations‏‎ (15:51, 6 December 2020)
  248. SuperGLUE‏‎ (16:58, 6 December 2020)
  249. THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS‏‎ (17:02, 6 December 2020)
  250. Adversarial Fisher Vectors for Unsupervised Representation Learning‏‎ (17:50, 6 December 2020)

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