Short pages

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

101. (hist) ‎generating Random Numbers ‎[8,400 bytes]
102. (hist) ‎deep Learning of the tissue-regulated splicing code ‎[8,523 bytes]
103. (hist) ‎Unsupervised Machine Translation Using Monolingual Corpora Only ‎[8,547 bytes]
104. (hist) ‎stat441F21 ‎[8,574 bytes]
105. (hist) ‎Dynamic Routing Between Capsulesl ‎[8,625 bytes]
106. (hist) ‎a Rank Minimization Heuristic with Application to Minimum Order System Approximation ‎[8,679 bytes]
107. (hist) ‎adaptive dimension reduction for clustering high dimensional data ‎[8,820 bytes]
108. (hist) ‎decentralised Data Fusion: A Graphical Model Approach (Summary) ‎[8,861 bytes]
109. (hist) ‎STAT946F20/BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding ‎[8,936 bytes]
110. (hist) ‎deep Sparse Rectifier Neural Networks ‎[8,983 bytes]
111. (hist) ‎cardinality Restricted Boltzmann Machines ‎[9,174 bytes]
112. (hist) ‎parametric Local Metric Learning for Nearest Neighbor Classification ‎[9,358 bytes]
113. (hist) ‎Research on Multiple Classification Based on Improved SVM Algorithm for Balanced Binary Decision Tree ‎[9,395 bytes]
114. (hist) ‎Robust Probabilistic Modeling with Bayesian Data Reweighting ‎[9,400 bytes]
115. (hist) ‎positive Semidefinite Metric Learning Using Boosting-like Algorithms ‎[9,507 bytes]
116. (hist) ‎stat946w18 ‎[9,537 bytes]
117. (hist) ‎Don't Just Blame Over-parametrization ‎[9,544 bytes]
118. (hist) ‎Going Deeper with Convolutions ‎[9,580 bytes]
119. (hist) ‎strategies for Training Large Scale Neural Network Language Models ‎[9,641 bytes]
120. (hist) ‎semi-supervised Learning with Deep Generative Models ‎[9,651 bytes]
121. (hist) ‎video-based face recognition using Adaptive HMM ‎[9,786 bytes]
122. (hist) ‎Another look at distance-weighted discrimination ‎[9,801 bytes]
123. (hist) ‎test ‎[9,812 bytes]
124. (hist) ‎This Looks Like That: Deep Learning for Interpretable Image Recognition ‎[9,951 bytes]
125. (hist) ‎f17Stat946PaperSignUp ‎[9,982 bytes]
126. (hist) ‎Depthwise Convolution Is All You Need for Learning Multiple Visual Domains ‎[10,043 bytes]
127. (hist) ‎kernel Spectral Clustering for Community Detection in Complex Networks ‎[10,246 bytes]
128. (hist) ‎context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis ‎[10,381 bytes]
129. (hist) ‎stat841F18/ ‎[10,578 bytes]
130. (hist) ‎Learning The Difference That Makes A Difference With Counterfactually-Augmented Data ‎[10,629 bytes]
131. (hist) ‎hamming Distance Metric Learning ‎[10,708 bytes]
132. (hist) ‎Representations of Words and Phrases and their Compositionality ‎[10,739 bytes]
133. (hist) ‎Poison Frogs Neural Networks ‎[10,842 bytes]
134. (hist) ‎deep Convolutional Neural Networks For LVCSR ‎[10,860 bytes]
135. (hist) ‎mULTIPLE OBJECT RECOGNITION WITH VISUAL ATTENTION ‎[10,935 bytes]
136. (hist) ‎a Dynamic Bayesian Network Click Model for Web Search Ranking ‎[10,982 bytes]
137. (hist) ‎Augmix: New Data Augmentation method to increase the robustness of the algorithm ‎[11,257 bytes]
138. (hist) ‎A Knowledge-Grounded Neural Conversation Model ‎[11,272 bytes]
139. (hist) ‎A Game Theoretic Approach to Class-wise Selective Rationalization ‎[11,317 bytes]
140. (hist) ‎very Deep Convoloutional Networks for Large-Scale Image Recognition ‎[11,457 bytes]
141. (hist) ‎GradientLess Descent ‎[11,517 bytes]
142. (hist) ‎f15Stat946PaperSignUp ‎[11,589 bytes]
143. (hist) ‎maximum-Margin Matrix Factorization ‎[11,779 bytes]
144. (hist) ‎deep Generative Stochastic Networks Trainable by Backprop ‎[11,830 bytes]
145. (hist) ‎nonparametric Latent Feature Models for Link Prediction ‎[11,861 bytes]
146. (hist) ‎learning Phrase Representations ‎[11,920 bytes]
147. (hist) ‎graph Laplacian Regularization for Larg-Scale Semidefinite Programming ‎[11,952 bytes]
148. (hist) ‎neural Turing Machines ‎[11,991 bytes]
149. (hist) ‎CRITICAL ANALYSIS OF SELF-SUPERVISION ‎[11,995 bytes]
150. (hist) ‎stat441w18/Saliency-based Sequential Image Attention with Multiset Prediction ‎[12,037 bytes]
151. (hist) ‎self-Taught Learning ‎[12,049 bytes]
152. (hist) ‎F21-STAT 441/841 CM 763-Proposal ‎[12,049 bytes]
153. (hist) ‎a fast learning algorithm for deep belief nets ‎[12,051 bytes]
154. (hist) ‎Learning Combinatorial Optimzation ‎[12,086 bytes]
155. (hist) ‎joint training of a convolutional network and a graphical model for human pose estimation ‎[12,149 bytes]
156. (hist) ‎show, Attend and Tell: Neural Image Caption Generation with Visual Attention ‎[12,161 bytes]
157. (hist) ‎learning Convolutional Feature Hierarchies for Visual Recognition ‎[12,276 bytes]
158. (hist) ‎Predicting Hurricane Trajectories Using a Recurrent Neural Network ‎[12,277 bytes]
159. (hist) ‎scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Machines ‎[12,303 bytes]
160. (hist) ‎Automatic Bank Fraud Detection Using Support Vector Machines ‎[12,303 bytes]
161. (hist) ‎The Detection of Black Ice Accidents Using CNNs ‎[12,531 bytes]
162. (hist) ‎Memory-Based Parameter Adaptation ‎[12,660 bytes]
163. (hist) ‎summary ‎[12,663 bytes]
164. (hist) ‎an HDP-HMM for Systems with State Persistence ‎[12,699 bytes]
165. (hist) ‎On The Convergence Of ADAM And Beyond ‎[12,957 bytes]
166. (hist) ‎paper 13 ‎[12,976 bytes]
167. (hist) ‎Do Vision Transformers See Like CNN ‎[13,013 bytes]
168. (hist) ‎imageNet Classification with Deep Convolutional Neural Networks ‎[13,183 bytes]
169. (hist) ‎natural language processing (almost) from scratch. ‎[13,194 bytes]
170. (hist) ‎Gradient Episodic Memory for Continual Learning ‎[13,341 bytes]
171. (hist) ‎stat946w18/Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolutional Layers ‎[13,361 bytes]
172. (hist) ‎Streaming Bayesian Inference for Crowdsourced Classification ‎[13,491 bytes]
173. (hist) ‎the loss surfaces of multilayer networks (Choromanska et al.) ‎[13,493 bytes]
174. (hist) ‎Robust Imitation Learning from Noisy Demonstrations ‎[13,516 bytes]
175. (hist) ‎sparse PCA ‎[13,535 bytes]
176. (hist) ‎The Curious Case of Degeneration ‎[13,571 bytes]
177. (hist) ‎compressive Sensing (Candes) ‎[13,587 bytes]
178. (hist) ‎dropout ‎[13,614 bytes]
179. (hist) ‎stat441w18/A New Method of Region Embedding for Text Classification ‎[13,622 bytes]
180. (hist) ‎F21-STAT 940-Proposal ‎[13,656 bytes]
181. (hist) ‎DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION ‎[13,738 bytes]
182. (hist) ‎dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces ‎[13,891 bytes]
183. (hist) ‎stat946F18 ‎[13,896 bytes]
184. (hist) ‎stat946w18/Predicting Floor-Level for 911 Calls with Neural Networks and Smartphone Sensor Data ‎[13,936 bytes]
185. (hist) ‎ALBERT: A Lite BERT for Self-supervised Learning of Language Representations ‎[13,956 bytes]
186. (hist) ‎f11Stat946ass ‎[13,980 bytes]
187. (hist) ‎neural Machine Translation: Jointly Learning to Align and Translate ‎[14,061 bytes]
188. (hist) ‎residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models ‎[14,327 bytes]
189. (hist) ‎matrix Completion with Noise ‎[14,449 bytes]
190. (hist) ‎STAT946F17/ Learning Important Features Through Propagating Activation Differences ‎[14,579 bytes]
191. (hist) ‎on using very large target vocabulary for neural machine translation ‎[14,589 bytes]
192. (hist) ‎stat441w18/mastering-chess-and-shogi-self-play ‎[14,596 bytes]
193. (hist) ‎Meta-Learning For Domain Generalization ‎[14,600 bytes]
194. (hist) ‎extracting and Composing Robust Features with Denoising Autoencoders ‎[14,613 bytes]
195. (hist) ‎Roberta ‎[14,722 bytes]
196. (hist) ‎Dynamic Routing Between Capsules ‎[14,778 bytes]
197. (hist) ‎Towards Deep Learning Models Resistant to Adversarial Attacks ‎[14,812 bytes]
198. (hist) ‎visualizing Similarity Data with a Mixture of Maps ‎[14,886 bytes]
199. (hist) ‎Breaking Certified Defenses: Semantic Adversarial Examples With Spoofed Robustness Certificates ‎[14,911 bytes]
200. (hist) ‎XGBoost: A Scalable Tree Boosting System ‎[15,042 bytes]