Character-level Convolutional Networks for Text Classification
state-of-the-art or competitive results. Comparisons are offered against traditional models such as bag of words, n-grams and their TFIDF variants, and deep learning models such as word-based ConvNets and recurrent neural networks. 1 Introduction Text classification is a classic topic for natural language processing, in which one needs to assign
Download Character-level Convolutional Networks for Text Classification
Information
Domain:
Source:
Link to this page:
Documents from same domain
On Discriminative vs. Generative Classifiers: A …
papers.nips.ccOn Discriminative vs. Generative classifiers: A comparison of logistic regression and naive Bayes Andrew Y. Ng Computer Science Division University of California, Berkeley
SAGA: A Fast Incremental Gradient Method With Support for ...
papers.nips.ccSAGA is preferred over SVRG both theoretically and in practice. For neural networks, where no theory is available for either method, the storage of gradients is generally more expensive than the
Thinking Fast and Slow with Deep Learning and Tree Search
papers.nips.ccSystem 1 is a fast, unconscious and automatic mode of thought, also known as intuition or heuristic process. System 2, an evolutionarily recent process unique to humans, is a slow, conscious, explicit
A Growing Neural Gas Network Learns Topologies
papers.nips.ccA Growing Neural Gas Network Learns Topologies 627 a) Delaunay triangulation b) induced Delaunay triangulation Figure 1: Two ways of defining closeness among a set of points.
Attention is All you Need - Neural Information Processing ...
papers.nips.ccAttention Is All You Need Ashish Vaswani Google Brain avaswani@google.com Noam Shazeer Google Brain noam@google.com Niki Parmar Google Research nikip@google.com
ImageNet Classification with Deep Convolutional Neural ...
papers.nips.ccChallenge, an annual competition called the ImageNet Large-Scale Visual Recognition Challenge (ILSVRC) has been held. ILSVRC uses a subset of ImageNet with roughly 1000 images in each of 1000 categories. In all, there are roughly 1.2 million training images, 50,000 validation images, and 150,000 testing images. ILSVRC-2010 is the only version ...
Generative Adversarial Nets - NIPS
papers.nips.ccGenerative adversarial networks has been sometimes confused with the related concept of “adversar-ial examples” [28]. Adversarial examples are examples found by using gradient-based optimization directly on the input to a classification network, in order to find examples that are similar to the data yet misclassified.
Time-series Generative Adversarial Networks
papers.nips.ccA good generative model for time-series data should preserve temporal dynamics, in the sense that new sequences respect the original relationships between variables across time. Existing methods that bring generative adversarial networks (GANs) into the sequential setting do not adequately attend to the temporal correlations unique to time ...
Hidden Technical Debt in Machine Learning Systems
papers.nips.ccaccount for in system design. These include boundary erosion, entanglement, hidden feedback loops, undeclared consumers, data dependencies, configuration issues, changes in the external world, and a variety of system-level anti-patterns. 1 Introduction As the machine learning (ML) community continues to accumulate years of experience with live
InfoGAN: Interpretable Representation Learning by ...
papers.nips.cc30th Conference on Neural Information Processing Systems (NIPS 2016), Barcelona, Spain. ... a higher-order extension of the spike-and-slab restricted Boltzmann machine that can disentangle emotion from identity on the Toronto Face Dataset ... we want PG(cjx) to have a small entropy. In other words, the information in the latent code cshould not ...
Related documents
The World's Greatest Competitive Shotgunners
shooting.byCompetitive shotgun shooting has been conducted from the middle of the nineteenth century therefore making comparisons between then and now very difficult. The competitions have evolved from live pigeon shooting to glass balls to clay targets and the like. Shotguns and ammunition have gone from ball bearings and a muzzle loaded black powder
KerGNNs: Interpretable Graph Neural Networks with Graph ...
arxiv.orgtasks and use cross-validation to make fair comparisons with benchmarks. We show that our method achieves competitive performance compared with existing state-of-the-art meth-ods, demonstrating the potential to increase the representation ability of GNNs. We also show that the trained graph filters in
Live confidently in retirement - Vanguard
personal.vanguard.comcontract comparisons. We provide: • Highly competitive rates: Vanguard and Hueler Investment Services work together to ensure delivery of high-quality products at a low cost. You can receive instant quotes from a Vanguard annuity specialist or directly from the Income Solutions website, which you can access after you log on to vanguard.com.