Long pages

Showing below up to 100 results in range #151 to #250.

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]
201. (hist) ‎SuperGLUE ‎[16,457 bytes]
202. (hist) ‎inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method ‎[16,450 bytes]
203. (hist) ‎STAT946F17/ Automated Curriculum Learning for Neural Networks ‎[16,391 bytes]
204. (hist) ‎stat946w18/Spectral normalization for generative adversial network ‎[16,342 bytes]
205. (hist) ‎Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness ‎[16,296 bytes]
206. (hist) ‎parsing natural scenes and natural language with recursive neural networks ‎[16,235 bytes]
207. (hist) ‎kernelized Sorting ‎[16,226 bytes]
208. (hist) ‎the Wake-Sleep Algorithm for Unsupervised Neural Networks ‎[16,139 bytes]
209. (hist) ‎Patch Based Convolutional Neural Network for Whole Slide Tissue Image Classification ‎[16,111 bytes]
210. (hist) ‎a fair comparison of graph neural networks for graph classification ‎[15,982 bytes]
211. (hist) ‎neighbourhood Components Analysis ‎[15,899 bytes]
212. (hist) ‎proposal for STAT946 projects ‎[15,862 bytes]
213. (hist) ‎Extreme Multi-label Text Classification ‎[15,848 bytes]
214. (hist) ‎From Variational to Deterministic Autoencoders ‎[15,837 bytes]
215. (hist) ‎rOBPCA: A New Approach to Robust Principal Component Analysis ‎[15,775 bytes]
216. (hist) ‎Co-Teaching ‎[15,712 bytes]
217. (hist) ‎stat441w18/e-gan ‎[15,651 bytes]
218. (hist) ‎statf09841Proposal ‎[15,646 bytes]
219. (hist) ‎independent Component Analysis: algorithms and applications ‎[15,526 bytes]
220. (hist) ‎Model Agnostic Learning of Semantic Features ‎[15,514 bytes]
221. (hist) ‎maximum likelihood estimation of intrinsic dimension ‎[15,392 bytes]
222. (hist) ‎orthogonal gradient descent for continual learning ‎[15,363 bytes]
223. (hist) ‎Wavelet Pooling CNN ‎[15,345 bytes]
224. (hist) ‎Semantic Relation Classification——via Convolution Neural Network ‎[15,324 bytes]
225. (hist) ‎quantifying cancer progression with conjunctive Bayesian networks ‎[15,306 bytes]
226. (hist) ‎question Answering with Subgraph Embeddings ‎[15,293 bytes]
227. (hist) ‎continuous space language models ‎[15,275 bytes]
228. (hist) ‎goingDeeperWithConvolutions ‎[15,240 bytes]
229. (hist) ‎quantifying cancer progression with conjunctive Bayesian networks. ‎[15,204 bytes]
230. (hist) ‎contributions on Quantifying Cancer Progression with Conjunctive Bayesian Networks ‎[15,193 bytes]
231. (hist) ‎XGBoost: A Scalable Tree Boosting System ‎[15,042 bytes]
232. (hist) ‎Breaking Certified Defenses: Semantic Adversarial Examples With Spoofed Robustness Certificates ‎[14,911 bytes]
233. (hist) ‎visualizing Similarity Data with a Mixture of Maps ‎[14,886 bytes]
234. (hist) ‎Towards Deep Learning Models Resistant to Adversarial Attacks ‎[14,812 bytes]
235. (hist) ‎Dynamic Routing Between Capsules ‎[14,778 bytes]
236. (hist) ‎Roberta ‎[14,722 bytes]
237. (hist) ‎extracting and Composing Robust Features with Denoising Autoencoders ‎[14,613 bytes]
238. (hist) ‎Meta-Learning For Domain Generalization ‎[14,600 bytes]
239. (hist) ‎stat441w18/mastering-chess-and-shogi-self-play ‎[14,596 bytes]
240. (hist) ‎on using very large target vocabulary for neural machine translation ‎[14,589 bytes]
241. (hist) ‎STAT946F17/ Learning Important Features Through Propagating Activation Differences ‎[14,579 bytes]
242. (hist) ‎matrix Completion with Noise ‎[14,449 bytes]
243. (hist) ‎residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models ‎[14,327 bytes]
244. (hist) ‎neural Machine Translation: Jointly Learning to Align and Translate ‎[14,061 bytes]
245. (hist) ‎f11Stat946ass ‎[13,980 bytes]
246. (hist) ‎ALBERT: A Lite BERT for Self-supervised Learning of Language Representations ‎[13,956 bytes]
247. (hist) ‎stat946w18/Predicting Floor-Level for 911 Calls with Neural Networks and Smartphone Sensor Data ‎[13,936 bytes]
248. (hist) ‎stat946F18 ‎[13,896 bytes]
249. (hist) ‎dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces ‎[13,891 bytes]
250. (hist) ‎DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION ‎[13,738 bytes]