[PDF] Top 20 Pun GAN: Generative Adversarial Network for Pun Generation
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Pun GAN: Generative Adversarial Network for Pun Generation
... 1) Pun-GAN achieves the best ambigu- ity ...that adversarial training can better achieve the aim of punning; 2) Compared with CLM+JD which is actually the same as our pre-trained generator, ... See full document
6
Active Generative Adversarial Network for Image Classification
... We can see that when the number of images used for train- ing the baseline SVM increases, F-scores were improved in every dataset. When the generated images from AC-GAN were used for training together with the ... See full document
8
Dialectical GAN for SAR Image Translation: From Sentinel-1 to TerraSAR-X
... Keywords: dialectical generative adversarial network; image translation; Sentinel-1; TerraSAR-X.. Introduction 28.[r] ... See full document
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Multi Modal Generative Adversarial Network for Short Product Title Generation in Mobile E Commerce
... tween the machine-generated and human- gener- ated titles. Here we consider ROUGE-1 (1-gram), ROUGE-2 (bi-grams), ROUGE-L (longest com- mon subsequence). Experimental results on the test set are shown in Table 2. From ... See full document
9
Manifold-Valued Image Generation with Wasserstein Generative Adversarial Nets
... Wasserstein GAN imposed weight clipping constraints on the critic (referred to as the discriminator pre- Wasserstein) such that the optimal map of the discriminator is Lipschitz ...Wasserstein GAN ... See full document
8
GANGs: Generative Adversarial Network Games
... existing GAN objectives (WGAN, Goodfellow’s training heuristic) in the context of zero-sum ...any network architectures (unlike previ- ous approaches, see Related ...typical GAN problems such as mode ... See full document
9
ARAML: A Stable Adversarial Training Framework for Text Generation
... existing generative adversarial net- works (GAN) for text generation suffer from the instability of reinforcement learning train- ing algorithms such as policy gradient, leading to unstable ... See full document
11
Beyond Local Nash Equilibria for Adversarial Networks
... finite Generative Adversarial Net- work Games (GANGs) formulate adversarial networks as finite zero-sum games, and the solutions that we try to find are saddle points in mixed ...a GAN as a ... See full document
21
Generating 3D Models Using 3D Generative Adversarial Network
... 3D Generative Adversarial Network : As proposed in Goodfellow ...the Generative Adversarial Network (GAN) consists of a discriminator and a generator where the prior tries ... See full document
5
Enhancing neural non-intrusive load monitoring with generative adversarial networks
... a Generative Adversarial Network to model appliance load profiles in NILM and the idea to complement the energy-based confusion ...the GAN-based disaggregation approaches, proposed the ... See full document
8
RETRACTED: Realization of Virtual Human Face Based on Deep Convolutional Generative Adversarial Networks
... Processing generative adversarial networks and used them for LSUN scene recognition challenges, Mnist handwritten numbers, and SVNH data sets ...convolutional generative adversarial networks, ... See full document
12
Hippocampal subfields segmentation in brain MR images using generative adversarial networks
... on generative adversarial networks was proposed to achieve the higher accurate hippocampal subfields ...an adversarial model and training the model against each other alter- nately, we achieved ... See full document
12
An Effective Feature Selection With Generative Adversarial Network (GAN) Model For Stock Market Prediction
... Abstract: At present days, the prediction of stock prices is very complicated as it depends on various factors. Several researches have been done to foresee the stock prices which will be helpful for users to identify ... See full document
8
Network Simulated Generation of Human Faces with Expressions and Orientations for Deep Learning Classification
... using GAN and deep learning was described to solve the image generation problem in a small ...of GAN, such as deep convolutional generative adversarial network [36], ... See full document
8
Diversity Promoting GAN: A Cross Entropy Based Generative Adversarial Network for Diversified Text Generation
... classifier-based GAN is in fact mini- mizing the Jensen-Shannon Divergence (JSD) be- tween the distributions of the real data and the gen- erated data (Nowozin et ... See full document
10
Improved Wasserstein conditional generative adversarial network speech enhancement
... the generation adversarial net- work has shown great potential in deep learning and has been applied to the field of speech enhancement with large quantities of data, which overcomes the limitations of ... See full document
10
DIGITAL 7 81 M MAINDEC 712 PTP Pun Jul65 pdf
... The program title and instructions for the punch section of the test are printed: RANDOM SEQUENCE PUNCH ROUTINE ACSO DOWN FOR ERROR HALTS, UP FOR NONE.. ACS1 DOWN FOR ERROR PRINT, UP FOR[r] ... See full document
16
Phonological Pun derstanding
... We conducted a survey of native English speak- ers where respondents were asked to rate 17 puns on a five point scale: hilarious, funny, okay, bad, ter- rible. The puns were selected from the test set to have a variety ... See full document
10
Automatically Extracting Word Relationships as Templates for Pun Generation
... The automatic tasks of analyzing human- generated puns in order to build a formal model of the word relationships present in the puns require the use of a number of linguistic resources. These same set of resources are ... See full document
8
A Neural Approach to Pun Generation
... our pun generation model we hope to produce relatively more creative sentences, so we use multinomial sampling to increase the uncer- tainty when generating the ... See full document
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