Buru Chang

According to our database, Buru Chang authored at least 20 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Exploiting Semantic Reconstruction to Mitigate Hallucinations in Vision-Language Models.

Minchan Kim, Minyeong Kim, Junik Bae, Suhwan Choi, Sungkyung Kim, Buru Chang

CoRR, 2024

2023

Reliable Decision from Multiple Subtasks through Threshold Optimization: Content Moderation in the Wild.

Donghyun Son, Byounggyu Lew, Kwanghee Choi, Yongsu Baek, Seungwoo Choi, Beomjun Shin, Sungjoo Ha, Buru Chang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Gradient Estimation for Unseen Domain Risk Minimization with Pre-Trained Models.

Byounggyu Lew, Donghyun Son, Buru Chang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

TiDAL: Learning Training Dynamics for Active Learning.

Seong Min Kye, Kwanghee Choi, Hyeongmin Byun, Buru Chang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

TiDAL: Learning Training Dynamics for Active Learning.

Seong Min Kye, Kwanghee Choi, Buru Chang

CoRR, 2022

Meet Your Favorite Character: Open-domain Chatbot Mimicking Fictional Characters with only a Few Utterances.

Seungju Han, Beomsu Kim, Jin Yong Yoo, Seokjun Seo, Sangbum Kim, Enkhbayar Erdenee, Buru Chang

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Temporal Knowledge Distillation for on-device Audio Classification.

Kwanghee Choi, Martin Kersner, Jacob Morton, Buru Chang

Proceedings of the IEEE International Conference on Acoustics, 2022

Measuring and Improving Semantic Diversity of Dialogue Generation.

Seungju Han, Beomsu Kim, Buru Chang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection.

Seong Min Kye, Kwanghee Choi, Joonyoung Yi, Buru Chang

Proceedings of the Computer Vision - ECCV 2022, 2022

Understanding and Improving the Exemplar-based Generation for Open-domain Conversation.

Seungju Han, Beomsu Kim, Seokjun Seo, Enkhbayar Erdenee, Buru Chang

Proceedings of the 4th Workshop on NLP for Conversational AI, 2022

2021

Efficient Click-Through Rate Prediction for Developing Countries via Tabular Learning.

Joonyoung Yi, Buru Chang

CoRR, 2021

Embedding Normalization: Significance Preserving Feature Normalization for Click-Through Rate Prediction.

Joonyoung Yi, Beomsu Kim, Buru Chang

Proceedings of the 2021 International Conference on Data Mining, 2021

Distilling the Knowledge of Large-scale Generative Models into Retrieval Models for Efficient Open-domain Conversation.

Beomsu Kim, Seokjun Seo, Seungju Han, Enkhbayar Erdenee, Buru Chang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

"Killing Me" Is Not a Spoiler: Spoiler Detection Model using Graph Neural Networks with Dependency Relation-Aware Attention Mechanism.

Buru Chang, Inggeol Lee, Hyunjae Kim, Jaewoo Kang

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Disentangling Label Distribution for Long-Tailed Visual Recognition.

Youngkyu Hong, Seungju Han, Kwanghee Choi, Seokjun Seo, Beomsu Kim, Buru Chang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Content-Aware Successive Point-of-Interest Recommendation.

Buru Chang, Yookyung Koh, Donghyeon Park, Jaewoo Kang

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Learning Graph-Based Geographical Latent Representation for Point-of-Interest Recommendation.

Buru Chang, Gwanghoon Jang, Seoyoon Kim, Jaewoo Kang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2018

DeepPIM: A deep neural point-of-interest imputation model.

Buru Chang, Yonggyu Park, Seongsoon Kim, Jaewoo Kang

Inf. Sci., 2018

A Deep Neural Spoiler Detection Model Using a Genre-Aware Attention Mechanism.

Buru Chang, Hyunjae Kim, Raehyun Kim, Deahan Kim, Jaewoo Kang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Content-Aware Hierarchical Point-of-Interest Embedding Model for Successive POI Recommendation.

Buru Chang, Yonggyu Park, Donghyeon Park, Seongsoon Kim, Jaewoo Kang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018