Long pages

Showing below up to 50 results in range #121 to #170.

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]