Adversarial Training Methods For Semi-Supervised Text Classification

Introduction This paper is the first work that applies adversarial training and virtual adversarial training to sequence models, and it greatly improved text classification tasks. In applying the adversarial training, this paper adopts distributed word representation, or word embedding, as the input, rather than the traditional one-hot representation. The reason lies in the fact that […]

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Word2vec: Google’s New Leap Forward on the Vectorized Representation of Words

Introduction Word2vec is an open source tool developed by a group of Google researchers led by Tomas Mikolov in 2013. It describes several efficient ways to represent words as M-dimensional real vectors, also known as word embedding, which is of great importance in many natural language processing applications. Word2vec also expresses the quality of the […]

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25 Tweets to Know You: A New Model to Predict Personality with Social Media

(All figures in this review are cited from this paper: Arnoux P H, Xu A, Boyette N, et al. 25 Tweets to Know You: A New Model to Predict Personality with Social Media[J]. ICWSM 2017) Abstract In order to provide personalized ads, tech giants such as Google and Facebook are trying to abstract their users’ […]

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Conditional Image Generation – Conclusion

In this last post regarding the course project of my Deep Learning class, I go over my final thoughts and expand on some possible other work that could be done in the future for improving results. Findings The goal of this project was to explore different methods of reconstructing the downsampled mscoco dataset images where […]

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Using the captions for image inpainting (Part 2)

In this series of posts I will detail how I incorporated the image captions to my model in order to perform image inpainting. Link to Part 1 of Using the captions for image inpainting. In this second part, I finish the implementation and show results of using the captions. Furthermore, I will expand on some […]

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Using the captions for image inpainting (Part 1)

In this series of posts I will detail how I incorporated the image captions to my model in order to perform image inpainting. In this part, I cover the approach I used and the implementation I will going for. The next part (to be linked when available) will include results and in addition, I will […]

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