Long pages

Showing below up to 50 results in range #251 to #300.

251. (hist) ‎F21-STAT 940-Proposal ‎[13,656 bytes]
252. (hist) ‎stat441w18/A New Method of Region Embedding for Text Classification ‎[13,622 bytes]
253. (hist) ‎dropout ‎[13,614 bytes]
254. (hist) ‎compressive Sensing (Candes) ‎[13,587 bytes]
255. (hist) ‎The Curious Case of Degeneration ‎[13,571 bytes]
256. (hist) ‎sparse PCA ‎[13,535 bytes]
257. (hist) ‎Robust Imitation Learning from Noisy Demonstrations ‎[13,516 bytes]
258. (hist) ‎the loss surfaces of multilayer networks (Choromanska et al.) ‎[13,493 bytes]
259. (hist) ‎Streaming Bayesian Inference for Crowdsourced Classification ‎[13,491 bytes]
260. (hist) ‎stat946w18/Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolutional Layers ‎[13,361 bytes]
261. (hist) ‎Gradient Episodic Memory for Continual Learning ‎[13,341 bytes]
262. (hist) ‎natural language processing (almost) from scratch. ‎[13,194 bytes]
263. (hist) ‎imageNet Classification with Deep Convolutional Neural Networks ‎[13,183 bytes]
264. (hist) ‎Do Vision Transformers See Like CNN ‎[13,013 bytes]
265. (hist) ‎paper 13 ‎[12,976 bytes]
266. (hist) ‎On The Convergence Of ADAM And Beyond ‎[12,957 bytes]
267. (hist) ‎an HDP-HMM for Systems with State Persistence ‎[12,699 bytes]
268. (hist) ‎summary ‎[12,663 bytes]
269. (hist) ‎Memory-Based Parameter Adaptation ‎[12,660 bytes]
270. (hist) ‎The Detection of Black Ice Accidents Using CNNs ‎[12,531 bytes]
271. (hist) ‎Automatic Bank Fraud Detection Using Support Vector Machines ‎[12,303 bytes]
272. (hist) ‎scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Machines ‎[12,303 bytes]
273. (hist) ‎Predicting Hurricane Trajectories Using a Recurrent Neural Network ‎[12,277 bytes]
274. (hist) ‎learning Convolutional Feature Hierarchies for Visual Recognition ‎[12,276 bytes]
275. (hist) ‎show, Attend and Tell: Neural Image Caption Generation with Visual Attention ‎[12,161 bytes]
276. (hist) ‎joint training of a convolutional network and a graphical model for human pose estimation ‎[12,149 bytes]
277. (hist) ‎Learning Combinatorial Optimzation ‎[12,086 bytes]
278. (hist) ‎a fast learning algorithm for deep belief nets ‎[12,051 bytes]
279. (hist) ‎F21-STAT 441/841 CM 763-Proposal ‎[12,049 bytes]
280. (hist) ‎self-Taught Learning ‎[12,049 bytes]
281. (hist) ‎stat441w18/Saliency-based Sequential Image Attention with Multiset Prediction ‎[12,037 bytes]
282. (hist) ‎CRITICAL ANALYSIS OF SELF-SUPERVISION ‎[11,995 bytes]
283. (hist) ‎neural Turing Machines ‎[11,991 bytes]
284. (hist) ‎graph Laplacian Regularization for Larg-Scale Semidefinite Programming ‎[11,952 bytes]
285. (hist) ‎learning Phrase Representations ‎[11,920 bytes]
286. (hist) ‎nonparametric Latent Feature Models for Link Prediction ‎[11,861 bytes]
287. (hist) ‎deep Generative Stochastic Networks Trainable by Backprop ‎[11,830 bytes]
288. (hist) ‎maximum-Margin Matrix Factorization ‎[11,779 bytes]
289. (hist) ‎f15Stat946PaperSignUp ‎[11,589 bytes]
290. (hist) ‎GradientLess Descent ‎[11,517 bytes]
291. (hist) ‎very Deep Convoloutional Networks for Large-Scale Image Recognition ‎[11,457 bytes]
292. (hist) ‎A Game Theoretic Approach to Class-wise Selective Rationalization ‎[11,317 bytes]
293. (hist) ‎A Knowledge-Grounded Neural Conversation Model ‎[11,272 bytes]
294. (hist) ‎Augmix: New Data Augmentation method to increase the robustness of the algorithm ‎[11,257 bytes]
295. (hist) ‎a Dynamic Bayesian Network Click Model for Web Search Ranking ‎[10,982 bytes]
296. (hist) ‎mULTIPLE OBJECT RECOGNITION WITH VISUAL ATTENTION ‎[10,935 bytes]
297. (hist) ‎deep Convolutional Neural Networks For LVCSR ‎[10,860 bytes]
298. (hist) ‎Poison Frogs Neural Networks ‎[10,842 bytes]
299. (hist) ‎Representations of Words and Phrases and their Compositionality ‎[10,739 bytes]
300. (hist) ‎hamming Distance Metric Learning ‎[10,708 bytes]