Long pages

Showing below up to 100 results in range #101 to #200.

101. (hist) ‎STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback ‎[23,815 bytes]
102. (hist) ‎When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary ‎[23,758 bytes]
103. (hist) ‎Breaking the Softmax Bottleneck: A High-Rank RNN Language Model ‎[23,722 bytes]
104. (hist) ‎stat946w18/Spectral ‎[23,722 bytes]
105. (hist) ‎stat946f15/Sequence to sequence learning with neural networks ‎[23,722 bytes]
106. (hist) ‎Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations ‎[23,595 bytes]
107. (hist) ‎compressed Sensing Reconstruction via Belief Propagation ‎[23,435 bytes]
108. (hist) ‎Adversarial Attacks on Copyright Detection Systems ‎[23,347 bytes]
109. (hist) ‎convex and Semi Nonnegative Matrix Factorization ‎[23,247 bytes]
110. (hist) ‎STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study ‎[22,797 bytes]
111. (hist) ‎STAT946F17/Decoding with Value Networks for Neural Machine Translation ‎[22,662 bytes]
112. (hist) ‎A Neural Representation of Sketch Drawings ‎[22,571 bytes]
113. (hist) ‎optimal Solutions forSparse Principal Component Analysis ‎[22,557 bytes]
114. (hist) ‎One-Shot Object Detection with Co-Attention and Co-Excitation ‎[22,512 bytes]
115. (hist) ‎the Manifold Tangent Classifier ‎[22,426 bytes]
116. (hist) ‎Adversarial Fisher Vectors for Unsupervised Representation Learning ‎[22,378 bytes]
117. (hist) ‎Pre-Training Tasks For Embedding-Based Large-Scale Retrieval ‎[22,307 bytes]
118. (hist) ‎learning Fast Approximations of Sparse Coding ‎[22,149 bytes]
119. (hist) ‎Dynamic Routing Between Capsules STAT946 ‎[22,076 bytes]
120. (hist) ‎stat441w18/Convolutional Neural Networks for Sentence Classification ‎[21,916 bytes]
121. (hist) ‎from Machine Learning to Machine Reasoning ‎[21,916 bytes]
122. (hist) ‎supervised Dictionary Learning ‎[21,847 bytes]
123. (hist) ‎MarrNet: 3D Shape Reconstruction via 2.5D Sketches ‎[21,822 bytes]
124. (hist) ‎relevant Component Analysis ‎[21,795 bytes]
125. (hist) ‎A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques ‎[21,774 bytes]
126. (hist) ‎Generating Image Descriptions ‎[21,640 bytes]
127. (hist) ‎Label-Free Supervision of Neural Networks with Physics and Domain Knowledge ‎[21,530 bytes]
128. (hist) ‎Learning to Teach ‎[21,503 bytes]
129. (hist) ‎DETECTING STATISTICAL INTERACTIONS FROM NEURAL NETWORK WEIGHTS ‎[21,484 bytes]
130. (hist) ‎ShakeDrop Regularization ‎[21,454 bytes]
131. (hist) ‎Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms ‎[21,399 bytes]
132. (hist) ‎Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition ‎[21,366 bytes]
133. (hist) ‎Searching For Efficient Multi Scale Architectures For Dense Image Prediction ‎[21,363 bytes]
134. (hist) ‎stat946w18/MaskRNN: Instance Level Video Object Segmentation ‎[21,296 bytes]
135. (hist) ‎XGBoost ‎[21,275 bytes]
136. (hist) ‎probabilistic PCA with GPLVM ‎[21,275 bytes]
137. (hist) ‎Annotating Object Instances with a Polygon RNN ‎[21,235 bytes]
138. (hist) ‎Wasserstein Auto-Encoders ‎[21,197 bytes]
139. (hist) ‎Time-series Generative Adversarial Networks ‎[21,169 bytes]
140. (hist) ‎FeUdal Networks for Hierarchical Reinforcement Learning ‎[20,969 bytes]
141. (hist) ‎meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting ‎[20,964 bytes]
142. (hist) ‎One-Shot Imitation Learning ‎[20,785 bytes]
143. (hist) ‎Training And Inference with Integers in Deep Neural Networks ‎[20,739 bytes]
144. (hist) ‎learning a Nonlinear Embedding by Preserving Class Neighborhood Structure ‎[20,705 bytes]
145. (hist) ‎Fairness Without Demographics in Repeated Loss Minimization ‎[20,361 bytes]
146. (hist) ‎F18-STAT841-Proposal ‎[20,352 bytes]
147. (hist) ‎Self-Supervised Learning of Pretext-Invariant Representations ‎[20,351 bytes]
148. (hist) ‎Reinforcement Learning of Theorem Proving ‎[20,271 bytes]
149. (hist) ‎a Direct Formulation For Sparse PCA Using Semidefinite Programming ‎[20,257 bytes]
150. (hist) ‎deflation Methods for Sparse PCA ‎[20,218 bytes]
151. (hist) ‎Robust Imitation of Diverse Behaviors ‎[20,150 bytes]
152. (hist) ‎Mask RCNN ‎[20,099 bytes]
153. (hist) ‎learning Long-Range Vision for Autonomous Off-Road Driving ‎[20,000 bytes]
154. (hist) ‎visualizing Data using t-SNE ‎[19,850 bytes]
155. (hist) ‎overfeat: integrated recognition, localization and detection using convolutional networks ‎[19,798 bytes]
156. (hist) ‎stat441F18/YOLO ‎[19,690 bytes]
157. (hist) ‎Do Deep Neural Networks Suffer from Crowding ‎[19,524 bytes]
158. (hist) ‎PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space ‎[19,470 bytes]
159. (hist) ‎Deep Residual Learning for Image Recognition ‎[19,366 bytes]
160. (hist) ‎Deep Double Descent Where Bigger Models and More Data Hurt ‎[19,133 bytes]
161. (hist) ‎stat946w18/AmbientGAN: Generative Models from Lossy Measurements ‎[19,101 bytes]
162. (hist) ‎distributed Representations of Words and Phrases and their Compositionality ‎[19,031 bytes]
163. (hist) ‎Understanding Image Motion with Group Representations ‎[18,990 bytes]
164. (hist) ‎Predicting Floor Level For 911 Calls with Neural Network and Smartphone Sensor Data ‎[18,868 bytes]
165. (hist) ‎learning Hierarchical Features for Scene Labeling ‎[18,813 bytes]
166. (hist) ‎Learning What and Where to Draw ‎[18,801 bytes]
167. (hist) ‎markov Random Fields for Super-Resolution ‎[18,723 bytes]
168. (hist) ‎stat441F18/TCNLM ‎[18,699 bytes]
169. (hist) ‎A universal SNP and small-indel variant caller using deep neural networks ‎[18,624 bytes]
170. (hist) ‎Multi-scale Dense Networks for Resource Efficient Image Classification ‎[18,397 bytes]
171. (hist) ‎generating text with recurrent neural networks ‎[18,394 bytes]
172. (hist) ‎IPBoost ‎[18,321 bytes]
173. (hist) ‎probabilistic Matrix Factorization ‎[18,287 bytes]
174. (hist) ‎compressive Sensing ‎[18,248 bytes]
175. (hist) ‎Synthesizing Programs for Images usingReinforced Adversarial Learning ‎[18,187 bytes]
176. (hist) ‎Neural Audio Synthesis of Musical Notes with WaveNet autoencoders ‎[18,174 bytes]
177. (hist) ‎stat946w18/IMPROVING GANS USING OPTIMAL TRANSPORT ‎[18,063 bytes]
178. (hist) ‎incremental Learning, Clustering and Hierarchy Formation of Whole Body Motion Patterns using Adaptive Hidden Markov Chains(Summary) ‎[18,023 bytes]
179. (hist) ‎Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence ‎[17,860 bytes]
180. (hist) ‎on the difficulty of training recurrent neural networks ‎[17,840 bytes]
181. (hist) ‎One pixel attack for fooling deep neural networks ‎[17,832 bytes]
182. (hist) ‎THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS ‎[17,773 bytes]
183. (hist) ‎Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments ‎[17,715 bytes]
184. (hist) ‎Pixels to Graphs by Associative Embedding ‎[17,615 bytes]
185. (hist) ‎graphical models for structured classification, with an application to interpreting images of protein subcellular location patterns ‎[17,604 bytes]
186. (hist) ‎multi-Task Feature Learning ‎[17,528 bytes]
187. (hist) ‎stat946w18/Synthetic and natural noise both break neural machine translation ‎[17,403 bytes]
188. (hist) ‎proposal for STAT946 projects Fall 2010 ‎[17,366 bytes]
189. (hist) ‎Influenza Forecasting Framework based on Gaussian Processes ‎[17,358 bytes]
190. (hist) ‎F18-STAT946-Proposal ‎[17,305 bytes]
191. (hist) ‎deep Neural Nets as a Method for Quantitative Structure–Activity Relationships ‎[17,219 bytes]
192. (hist) ‎discLDA: Discriminative Learning for Dimensionality Reduction and Classification ‎[17,184 bytes]
193. (hist) ‎BERTScore: Evaluating Text Generation with BERT ‎[17,132 bytes]
194. (hist) ‎Dense Passage Retrieval for Open-Domain Question Answering ‎[17,125 bytes]
195. (hist) ‎kernelized Locality-Sensitive Hashing ‎[17,115 bytes]
196. (hist) ‎CatBoost: unbiased boosting with categorical features ‎[17,013 bytes]
197. (hist) ‎When Does Self-Supervision Improve Few-Shot Learning? ‎[16,936 bytes]
198. (hist) ‎Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition ‎[16,892 bytes]
199. (hist) ‎stat946w18/Implicit Causal Models for Genome-wide Association Studies ‎[16,805 bytes]
200. (hist) ‎DeepVO Towards end to end visual odometry with deep RNN ‎[16,676 bytes]