Pages with the fewest revisions

Showing below up to 250 results in range #71 to #320.

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. Summary of A Probabilistic Approach to Neural Network Pruning‏‎ (21 revisions)
85. learning Convolutional Feature Hierarchies for Visual Recognition‏‎ (21 revisions)
86. generating text with recurrent neural networks‏‎ (21 revisions)
87. stat441w18/Saliency-based Sequential Image Attention with Multiset Prediction‏‎ (21 revisions)
88. rOBPCA: A New Approach to Robust Principal Component Analysis‏‎ (21 revisions)
89. Convolutional neural network for diagnosis of viral pneumonia and COVID-19 alike diseases‏‎ (21 revisions)
90. a fast learning algorithm for deep belief nets‏‎ (22 revisions)
91. decentralised Data Fusion: A Graphical Model Approach (Summary)‏‎ (22 revisions)
92. s13Stat946proposal‏‎ (22 revisions)
93. cardinality Restricted Boltzmann Machines‏‎ (22 revisions)
94. stat946w18/Towards Image Understanding From Deep Compression Without Decoding‏‎ (22 revisions)
95. deep Learning of the tissue-regulated splicing code‏‎ (22 revisions)
96. Wide and Deep Learning for Recommender Systems‏‎ (23 revisions)
97. measuring statistical dependence with Hilbert-Schmidt norms‏‎ (23 revisions)
98. extracting and Composing Robust Features with Denoising Autoencoders‏‎ (23 revisions)
99. contributions on Video-Based Face Recognition Using Adaptive Hidden Markov Models‏‎ (24 revisions)
100. very Deep Convoloutional Networks for Large-Scale Image Recognition‏‎ (24 revisions)
101. context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis‏‎ (24 revisions)
102. Unsupervised Machine Translation Using Monolingual Corpora Only‏‎ (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. Dynamic Routing Between Capsulesl‏‎ (26 revisions)
108. proposal for STAT946 (Deep Learning) final projects Fall 2015‏‎ (26 revisions)
109. The Detection of Black Ice Accidents Using CNNs‏‎ (26 revisions)
110. neural Machine Translation: Jointly Learning to Align and Translate‏‎ (27 revisions)
111. learning Long-Range Vision for Autonomous Off-Road Driving‏‎ (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. deep Generative Stochastic Networks Trainable by Backprop‏‎ (30 revisions)
117. DCN plus: Mixed Objective And Deep Residual Coattention for Question Answering‏‎ (30 revisions)
118. metric and Kernel Learning Using a Linear Transformation‏‎ (30 revisions)
119. Going Deeper with Convolutions‏‎ (30 revisions)
120. f11stat946EditorSignUp‏‎ (31 revisions)
121. Deep Double Descent Where Bigger Models and More Data Hurt‏‎ (31 revisions)
122. stat841F18/‏‎ (31 revisions)
123. STAT946F17/ Automated Curriculum Learning for Neural Networks‏‎ (31 revisions)
124. joint training of a convolutional network and a graphical model for human pose estimation‏‎ (32 revisions)
125. distributed Representations of Words and Phrases and their Compositionality‏‎ (32 revisions)
126. contributions on Context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis‏‎ (32 revisions)
127. compressive Sensing (Candes)‏‎ (32 revisions)
128. learning Phrase Representations‏‎ (32 revisions)
129. natural language processing (almost) from scratch.‏‎ (33 revisions)
130. f11Stat946ass‏‎ (33 revisions)
131. stat946w18/Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolutional Layers‏‎ (33 revisions)
132. maximum likelihood estimation of intrinsic dimension‏‎ (33 revisions)
133. memory Networks‏‎ (34 revisions)
134. schedule of Project Presentations‏‎ (35 revisions)
135. large-Scale Supervised Sparse Principal Component Analysis‏‎ (35 revisions)
136. deep Sparse Rectifier Neural Networks‏‎ (35 revisions)
137. Predicting Hurricane Trajectories Using a Recurrent Neural Network‏‎ (35 revisions)
138. dropout‏‎ (35 revisions)
139. positive Semidefinite Metric Learning Using Boosting-like Algorithms‏‎ (35 revisions)
140. Representations of Words and Phrases and their Compositionality‏‎ (35 revisions)
141. scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Machines‏‎ (36 revisions)
142. Automatic Bank Fraud Detection Using Support Vector Machines‏‎ (36 revisions)
143. statf09841Proposal‏‎ (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. Training And Inference with Integers in Deep Neural Networks‏‎ (38 revisions)
149. Poison Frogs Neural Networks‏‎ (38 revisions)
150. kernel Dimension Reduction in Regression‏‎ (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. graves et al., Speech recognition with deep recurrent neural networks‏‎ (41 revisions)
156. STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN‏‎ (41 revisions)
157. show, Attend and Tell: Neural Image Caption Generation with Visual Attention‏‎ (41 revisions)
158. U-Time:A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging Summary‏‎ (41 revisions)
159. an HDP-HMM for Systems with State Persistence‏‎ (41 revisions)
160. semi-supervised Learning with Deep Generative Models‏‎ (41 revisions)
161. matrix Completion with Noise‏‎ (42 revisions)
162. Robust Imitation Learning from Noisy Demonstrations‏‎ (42 revisions)
163. Co-Teaching‏‎ (42 revisions)
164. proposal for STAT946 projects‏‎ (43 revisions)
165. parametric Local Metric Learning for Nearest Neighbor Classification‏‎ (43 revisions)
166. Pixels to Graphs by Associative Embedding‏‎ (43 revisions)
167. Robust Imitation of Diverse Behaviors‏‎ (43 revisions)
168. Model Agnostic Learning of Semantic Features‏‎ (44 revisions)
169. schedule‏‎ (44 revisions)
170. SuperGLUE‏‎ (44 revisions)
171. on the difficulty of training recurrent neural networks‏‎ (45 revisions)
172. continuous space language models‏‎ (45 revisions)
173. Do Deep Neural Networks Suffer from Crowding‏‎ (45 revisions)
174. hierarchical Dirichlet Processes‏‎ (45 revisions)
175. Augmix: New Data Augmentation method to increase the robustness of the algorithm‏‎ (46 revisions)
176. Streaming Bayesian Inference for Crowdsourced Classification‏‎ (46 revisions)
177. Label-Free Supervision of Neural Networks with Physics and Domain Knowledge‏‎ (46 revisions)
178. stat946w18/Self Normalizing Neural Networks‏‎ (46 revisions)
179. STAT946F20/BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding‏‎ (47 revisions)
180. A Neural Representation of Sketch Drawings‏‎ (47 revisions)
181. End-to-End Differentiable Adversarial Imitation Learning‏‎ (47 revisions)
182. overfeat: integrated recognition, localization and detection using convolutional networks‏‎ (47 revisions)
183. Time-series Generative Adversarial Networks‏‎ (47 revisions)
184. THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS‏‎ (48 revisions)
185. Breaking Certified Defenses: Semantic Adversarial Examples With Spoofed Robustness Certificates‏‎ (48 revisions)
186. stat441w18/mastering-chess-and-shogi-self-play‏‎ (49 revisions)
187. orthogonal gradient descent for continual learning‏‎ (49 revisions)
188. Memory-Based Parameter Adaptation‏‎ (49 revisions)
189. inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method‏‎ (49 revisions)
190. markov Random Fields for Super-Resolution‏‎ (49 revisions)
191. A Bayesian Perspective on Generalization and Stochastic Gradient Descent‏‎ (50 revisions)
192. the Indian Buffet Process: An Introduction and Review‏‎ (50 revisions)
193. Task Understanding from Confushing Multitask Data‏‎ (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. adaptive dimension reduction for clustering high dimensional data‏‎ (53 revisions)
201. MarrNet: 3D Shape Reconstruction via 2.5D Sketches‏‎ (53 revisions)
202. Don't Just Blame Over-parametrization‏‎ (53 revisions)
203. Understanding Image Motion with Group Representations‏‎ (54 revisions)
204. GradientLess Descent‏‎ (54 revisions)
205. On The Convergence Of ADAM And Beyond‏‎ (54 revisions)
206. learning Hierarchical Features for Scene Labeling‏‎ (55 revisions)
207. a fair comparison of graph neural networks for graph classification‏‎ (55 revisions)
208. End to end Active Object Tracking via Reinforcement Learning‏‎ (55 revisions)
209. stat946F18/differentiableplasticity‏‎ (55 revisions)
210. kernelized Locality-Sensitive Hashing‏‎ (56 revisions)
211. sparse PCA‏‎ (56 revisions)
212. Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction‏‎ (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. f14Stat842EditorSignUp‏‎ (59 revisions)
217. CatBoost: unbiased boosting with categorical features‏‎ (59 revisions)
218. Spherical CNNs‏‎ (59 revisions)
219. f11Stat841presentation‏‎ (59 revisions)
220. DeepVO Towards end to end visual odometry with deep RNN‏‎ (59 revisions)
221. Dense Passage Retrieval for Open-Domain Question Answering‏‎ (60 revisions)
222. DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION‏‎ (60 revisions)
223. deep neural networks for acoustic modeling in speech recognition‏‎ (61 revisions)
224. signupformStat341F11‏‎ (61 revisions)
225. STAT946F17/Conditional Image Generation with PixelCNN Decoders‏‎ (61 revisions)
226. stat946w18/Synthetic and natural noise both break neural machine translation‏‎ (61 revisions)
227. neighbourhood Components Analysis‏‎ (62 revisions)
228. the Wake-Sleep Algorithm for Unsupervised Neural Networks‏‎ (62 revisions)
229. One-Shot Imitation Learning‏‎ (62 revisions)
230. FeUdal Networks for Hierarchical Reinforcement Learning‏‎ (63 revisions)
231. contributions on Quantifying Cancer Progression with Conjunctive Bayesian Networks‏‎ (64 revisions)
232. Deep Exploration via Bootstrapped DQN‏‎ (64 revisions)
233. compressed Sensing Reconstruction via Belief Propagation‏‎ (64 revisions)
234. video-based face recognition using Adaptive HMM‏‎ (65 revisions)
235. statf09841Scribe‏‎ (65 revisions)
236. Wavelet Pooling CNN‏‎ (66 revisions)
237. proposal for STAT946 projects Fall 2010‏‎ (66 revisions)
238. visualizing Data using t-SNE‏‎ (66 revisions)
239. Adversarial Fisher Vectors for Unsupervised Representation Learning‏‎ (67 revisions)
240. BERTScore: Evaluating Text Generation with BERT‏‎ (67 revisions)
241. Learning to Teach‏‎ (67 revisions)
242. stat946w18/Wavelet Pooling For Convolutional Neural Networks‏‎ (67 revisions)
243. A universal SNP and small-indel variant caller using deep neural networks‏‎ (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. human-level control through deep reinforcement learning‏‎ (69 revisions)
249. One-Shot Object Detection with Co-Attention and Co-Excitation‏‎ (69 revisions)
250. goingDeeperWithConvolutions‏‎ (71 revisions)
251. schedule946‏‎ (71 revisions)
252. stat946w18/AmbientGAN: Generative Models from Lossy Measurements‏‎ (71 revisions)
253. Annotating Object Instances with a Polygon RNN‏‎ (71 revisions)
254. Roberta‏‎ (72 revisions)
255. stat946f15/Sequence to sequence learning with neural networks‏‎ (72 revisions)
256. Functional regularisation for continual learning with gaussian processes‏‎ (72 revisions)
257. stat946F18/Autoregressive Convolutional Neural Networks for Asynchronous Time Series‏‎ (73 revisions)
258. Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence‏‎ (73 revisions)
259. STAT946F17/ Learning Important Features Through Propagating Activation Differences‏‎ (73 revisions)
260. The Curious Case of Degeneration‏‎ (73 revisions)
261. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space‏‎ (73 revisions)
262. STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study‏‎ (73 revisions)
263. Unsupervised Domain Adaptation with Residual Transfer Networks‏‎ (73 revisions)
264. relevant Component Analysis‏‎ (73 revisions)
265. XGBoost: A Scalable Tree Boosting System‏‎ (73 revisions)
266. Hierarchical Representations for Efficient Architecture Search‏‎ (74 revisions)
267. nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization‏‎ (74 revisions)
268. Summary - A Neural Representation of Sketch Drawings‏‎ (75 revisions)
269. independent Component Analysis: algorithms and applications‏‎ (75 revisions)
270. Universal Style Transfer via Feature Transforms‏‎ (76 revisions)
271. Imagination-Augmented Agents for Deep Reinforcement Learning‏‎ (76 revisions)
272. stat946F18/Beyond Word Importance Contextual Decomposition to Extract Interactions from LSTMs‏‎ (76 revisions)
273. f10 Stat841 digest‏‎ (76 revisions)
274. learning Spectral Clustering, With Application To Speech Separation‏‎ (77 revisions)
275. Meta-Learning For Domain Generalization‏‎ (77 revisions)
276. from Machine Learning to Machine Reasoning‏‎ (77 revisions)
277. Learning What and Where to Draw‏‎ (78 revisions)
278. maximum-Margin Matrix Factorization‏‎ (79 revisions)
279. learning a Nonlinear Embedding by Preserving Class Neighborhood Structure‏‎ (80 revisions)
280. Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling‏‎ (80 revisions)
281. Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition‏‎ (81 revisions)
282. a Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis‏‎ (81 revisions)
283. Being Bayesian about Categorical Probability‏‎ (81 revisions)
284. Mask RCNN‏‎ (81 revisions)
285. f11Stat946presentation‏‎ (81 revisions)
286. f11Stat841proposal‏‎ (82 revisions)
287. Fix your classifier: the marginal value of training the last weight layer‏‎ (82 revisions)
288. Convolutional Sequence to Sequence Learning‏‎ (83 revisions)
289. stat441w18/summary 1‏‎ (83 revisions)
290. XGBoost‏‎ (83 revisions)
291. Neural Speed Reading via Skim-RNN‏‎ (84 revisions)
292. Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness‏‎ (84 revisions)
293. STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow‏‎ (85 revisions)
294. Wasserstein Auto-encoders‏‎ (86 revisions)
295. Generating Image Descriptions‏‎ (86 revisions)
296. F21-STAT 940-Proposal‏‎ (86 revisions)
297. Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin‏‎ (88 revisions)
298. A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques‏‎ (88 revisions)
299. convex and Semi Nonnegative Matrix Factorization‏‎ (88 revisions)
300. graph Laplacian Regularization for Larg-Scale Semidefinite Programming‏‎ (88 revisions)
301. supervised Dictionary Learning‏‎ (88 revisions)
302. Towards Deep Learning Models Resistant to Adversarial Attacks‏‎ (89 revisions)
303. stat441w18/Image Question Answering using CNN with Dynamic Parameter Prediction‏‎ (90 revisions)
304. Evaluating Machine Accuracy on ImageNet‏‎ (90 revisions)
305. sign up for your presentation‏‎ (91 revisions)
306. LightRNN: Memory and Computation-Efficient Recurrent Neural Networks‏‎ (92 revisions)
307. Pre-Training Tasks For Embedding-Based Large-Scale Retrieval‏‎ (92 revisions)
308. a neural representation of sketch drawings‏‎ (92 revisions)
309. F18-STAT841-Proposal‏‎ (92 revisions)
310. Semantic Relation Classification——via Convolution Neural Network‏‎ (92 revisions)
311. ShakeDrop Regularization‏‎ (93 revisions)
312. IPBoost‏‎ (93 revisions)
313. stat946w18/Predicting Floor-Level for 911 Calls with Neural Networks and Smartphone Sensor Data‏‎ (93 revisions)
314. Searching For Efficient Multi Scale Architectures For Dense Image Prediction‏‎ (95 revisions)
315. When Does Self-Supervision Improve Few-Shot Learning?‏‎ (96 revisions)
316. DETECTING STATISTICAL INTERACTIONS FROM NEURAL NETWORK WEIGHTS‏‎ (96 revisions)
317. main Page‏‎ (96 revisions)
318. question Answering with Subgraph Embeddings‏‎ (97 revisions)
319. learning Fast Approximations of Sparse Coding‏‎ (99 revisions)
320. When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary‏‎ (99 revisions)