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

Dec 13, 2021
Seungju Han, Beomsu Kim, Seokjun Seo, Enkhbayar Erdenee, Buru Chang

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

Aug 31, 2021
Beomsu Kim, Seokjun Seo, Seungju Han, Enkhbayar Erdenee, Buru Chang

* EMNLP21-Findings 

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Disentangling Label Distribution for Long-tailed Visual Recognition

Dec 01, 2020
Youngkyu Hong, Seungju Han, Kwanghee Choi, Seokjun Seo, Beomsu Kim, Buru Chang

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Filter Style Transfer between Photos

Jul 15, 2020
Jonghwa Yim, Jisung Yoo, Won-joon Do, Beomsu Kim, Jihwan Choe

* ECCV (Spotlight) 2020 

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MarioNETte: Few-shot Face Reenactment Preserving Identity of Unseen Targets

Nov 19, 2019
Sungjoo Ha, Martin Kersner, Beomsu Kim, Seokjun Seo, Dongyoung Kim

* In AAAI 2020 

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Revisiting Classical Bagging with Modern Transfer Learning for On-the-fly Disaster Damage Detector

Oct 04, 2019
Junghoon Seo, Seungwon Lee, Beomsu Kim, Taegyun Jeon

* Accepted at the 2019 NeurIPS Workshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response(AI+HADR 2019) 

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Bridging Adversarial Robustness and Gradient Interpretability

Apr 19, 2019
Beomsu Kim, Junghoon Seo, Taegyun Jeon

* Accepted at the 2019 ICLR Workshop on Safe Machine Learning: Specification, Robustness, and Assurance (SafeML 2019) 

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Temporal Convolution for Real-time Keyword Spotting on Mobile Devices

Apr 08, 2019
Seungwoo Choi, Seokjun Seo, Beomjun Shin, Hyeongmin Byun, Martin Kersner, Beomsu Kim, Dongyoung Kim, Sungjoo Ha

* Submitted to INTERSPEECH 2019 

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Why are Saliency Maps Noisy? Cause of and Solution to Noisy Saliency Maps

Feb 20, 2019
Beomsu Kim, Junghoon Seo, SeungHyun Jeon, Jamyoung Koo, Jeongyeol Choe, Taegyun Jeon

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Noise-adding Methods of Saliency Map as Series of Higher Order Partial Derivative

Jun 08, 2018
Junghoon Seo, Jeongyeol Choe, Jamyoung Koo, Seunghyeon Jeon, Beomsu Kim, Taegyun Jeon

* presented at 2018 ICML Workshop on Human Interpretability in Machine Learning (WHI 2018), Stockholm, Sweden 

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