Search Results for author: Jihun Yi

Found 7 papers, 4 papers with code

Removing Undesirable Feature Contributions Using Out-of-Distribution Data

1 code implementation ICLR 2021 Saehyung Lee, Changhwa Park, Hyungyu Lee, Jihun Yi, Jonghyun Lee, Sungroh Yoon

Herein, we propose a data augmentation method to improve generalization in both adversarial and standard learning by using out-of-distribution (OOD) data that are devoid of the abovementioned issues.

Data Augmentation

Interpretation of NLP models through input marginalization

no code implementations EMNLP 2020 Siwon Kim, Jihun Yi, Eunji Kim, Sungroh Yoon

To demystify the "black box" property of deep neural networks for natural language processing (NLP), several methods have been proposed to interpret their predictions by measuring the change in prediction probability after erasing each token of an input.

Natural Language Inference Sentiment Analysis

Information-Theoretic Visual Explanation for Black-Box Classifiers

1 code implementation23 Sep 2020 Jihun Yi, Eunji Kim, Siwon Kim, Sungroh Yoon

IG map provides a class-independent answer to "How informative is each pixel?

Energy-Based Sequence GANs for Recommendation and Their Connection to Imitation Learning

no code implementations28 Jun 2017 Jaeyoon Yoo, Heonseok Ha, Jihun Yi, Jongha Ryu, Chanju Kim, Jung-Woo Ha, Young-Han Kim, Sungroh Yoon

Recommender systems aim to find an accurate and efficient mapping from historic data of user-preferred items to a new item that is to be liked by a user.

Imitation Learning Recommendation Systems +1

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