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2020 – today
- 2024
[c17]Dokyun Lee
, Sangeun Seo, Chanwoo Park, Sunjun Kim, Buru Chang, Jean Y. Song:
Exploring Intervention Techniques to Alleviate Negative Emotions during Video Content Moderation Tasks as a Worker-centered Task Design. Conference on Designing Interactive Systems 2024- [i15]Minchan Kim, Minyeong Kim, Junik Bae, Suhwan Choi, Sungkyung Kim, Buru Chang:
Exploiting Semantic Reconstruction to Mitigate Hallucinations in Vision-Language Models. CoRR abs/2403.16167 (2024) - [i14]Jieyong Kim, Hyunseo Kim, Hyunjin Cho, SeongKu Kang, Buru Chang, Jinyoung Yeo, Dongha Lee:
Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation. CoRR abs/2408.06276 (2024) - [i13]Yeji Park, Deokyeong Lee, Junsuk Choe, Buru Chang:
ConVis: Contrastive Decoding with Hallucination Visualization for Mitigating Hallucinations in Multimodal Large Language Models. CoRR abs/2408.13906 (2024) - 2023
- [c16]Seong Min Kye, Kwanghee Choi, Hyeongmin Byun, Buru Chang:
TiDAL: Learning Training Dynamics for Active Learning. ICCV 2023: 22278-22288 - [c15]Byounggyu Lew, Donghyun Son, Buru Chang:
Gradient Estimation for Unseen Domain Risk Minimization with Pre-Trained Models. ICCV (Workshops) 2023: 4438-4448 - [c14]Donghyun Son, Byounggyu Lew, Kwanghee Choi, Yongsu Baek, Seungwoo Choi, Beomjun Shin, Sungjoo Ha, Buru Chang:
Reliable Decision from Multiple Subtasks through Threshold Optimization: Content Moderation in the Wild. WSDM 2023: 285-293 - [i12]Byounggyu Lew, Donghyun Son, Buru Chang:
Gradient Estimation for Unseen Domain Risk Minimization with Pre-Trained Models. CoRR abs/2302.01497 (2023) - 2022
- [c13]Seungju Han, Beomsu Kim, Seokjun Seo, Enkhbayar Erdenee, Buru Chang:
Understanding and Improving the Exemplar-based Generation for Open-domain Conversation. ConvAI@ACL 2022: 218-230 - [c12]Seong Min Kye, Kwanghee Choi, Joonyoung Yi, Buru Chang:
Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection. ECCV (25) 2022: 717-738 - [c11]Seungju Han, Beomsu Kim, Buru Chang:
Measuring and Improving Semantic Diversity of Dialogue Generation. EMNLP (Findings) 2022: 934-950 - [c10]Kwanghee Choi, Martin Kersner, Jacob Morton, Buru Chang:
Temporal Knowledge Distillation for on-device Audio Classification. ICASSP 2022: 486-490 - [c9]Seungju Han, Beomsu Kim, Jin Yong Yoo, Seokjun Seo, Sangbum Kim, Enkhbayar Erdenee, Buru Chang:
Meet Your Favorite Character: Open-domain Chatbot Mimicking Fictional Characters with only a Few Utterances. NAACL-HLT 2022: 5114-5132 - [i11]Seungju Han, Beomsu Kim, Jin Yong Yoo, Seokjun Seo, Sangbum Kim, Enkhbayar Erdenee, Buru Chang:
Meet Your Favorite Character: Open-domain Chatbot Mimicking Fictional Characters with only a Few Utterances. CoRR abs/2204.10825 (2022) - [i10]Donghyun Son, Byounggyu Lew, Kwanghee Choi, Yongsu Baek, Seungwoo Choi, Beomjun Shin, Sungjoo Ha, Buru Chang:
Reliable Decision from Multiple Subtasks through Threshold Optimization: Content Moderation in the Wild. CoRR abs/2208.07522 (2022) - [i9]Seungju Han, Beomsu Kim, Buru Chang:
Measuring and Improving Semantic Diversity of Dialogue Generation. CoRR abs/2210.05725 (2022) - [i8]Seong Min Kye, Kwanghee Choi, Buru Chang:
TiDAL: Learning Training Dynamics for Active Learning. CoRR abs/2210.06788 (2022) - 2021
- [c8]Youngkyu Hong, Seungju Han, Kwanghee Choi, Seokjun Seo, Beomsu Kim, Buru Chang:
Disentangling Label Distribution for Long-Tailed Visual Recognition. CVPR 2021: 6626-6636 - [c7]Buru Chang, Inggeol Lee, Hyunjae Kim, Jaewoo Kang:
"Killing Me" Is Not a Spoiler: Spoiler Detection Model using Graph Neural Networks with Dependency Relation-Aware Attention Mechanism. EACL 2021: 3613-3617 - [c6]Beomsu Kim, Seokjun Seo, Seungju Han, Enkhbayar Erdenee, Buru Chang:
Distilling the Knowledge of Large-scale Generative Models into Retrieval Models for Efficient Open-domain Conversation. EMNLP (Findings) 2021: 3357-3373 - [c5]Joonyoung Yi, Beomsu Kim, Buru Chang:
Embedding Normalization: Significance Preserving Feature Normalization for Click-Through Rate Prediction. ICDM (Workshops) 2021: 75-84 - [i7]Buru Chang, Inggeol Lee, Hyunjae Kim, Jaewoo Kang:
"Killing Me" Is Not a Spoiler: Spoiler Detection Model using Graph Neural Networks with Dependency Relation-Aware Attention Mechanism. CoRR abs/2101.05972 (2021) - [i6]Joonyoung Yi, Buru Chang:
Efficient Click-Through Rate Prediction for Developing Countries via Tabular Learning. CoRR abs/2104.07553 (2021) - [i5]Beomsu Kim, Seokjun Seo, Seungju Han, Enkhbayar Erdenee, Buru Chang:
Distilling the Knowledge of Large-scale Generative Models into Retrieval Models for Efficient Open-domain Conversation. CoRR abs/2108.12582 (2021) - [i4]Kwanghee Choi, Martin Kersner, Jacob Morton, Buru Chang:
Temporal Knowledge Distillation for On-device Audio Classification. CoRR abs/2110.14131 (2021) - [i3]Seong Min Kye, Kwanghee Choi, Joonyoung Yi, Buru Chang:
Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection. CoRR abs/2111.14932 (2021) - [i2]Seungju Han, Beomsu Kim, Seokjun Seo, Enkhbayar Erdenee, Buru Chang:
Understanding and Improving the Exemplar-based Generation for Open-domain Conversation. CoRR abs/2112.06723 (2021) - 2020
- [c4]Buru Chang, Gwanghoon Jang, Seoyoon Kim, Jaewoo Kang:
Learning Graph-Based Geographical Latent Representation for Point-of-Interest Recommendation. CIKM 2020: 135-144 - [c3]Buru Chang, Yookyung Koh, Donghyeon Park, Jaewoo Kang:
Content-Aware Successive Point-of-Interest Recommendation. SDM 2020: 100-108 - [i1]Youngkyu Hong, Seungju Han, Kwanghee Choi, Seokjun Seo, Beomsu Kim, Buru Chang:
Disentangling Label Distribution for Long-tailed Visual Recognition. CoRR abs/2012.00321 (2020)
2010 – 2019
- 2018
- [j1]Buru Chang, Yonggyu Park, Seongsoon Kim, Jaewoo Kang:
DeepPIM: A deep neural point-of-interest imputation model. Inf. Sci. 465: 61-71 (2018) - [c2]Buru Chang, Yonggyu Park, Donghyeon Park, Seongsoon Kim, Jaewoo Kang:
Content-Aware Hierarchical Point-of-Interest Embedding Model for Successive POI Recommendation. IJCAI 2018: 3301-3307 - [c1]Buru Chang, Hyunjae Kim, Raehyun Kim, Deahan Kim, Jaewoo Kang:
A Deep Neural Spoiler Detection Model Using a Genre-Aware Attention Mechanism. PAKDD (1) 2018: 183-195
Coauthor Index
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