Category / Conference

PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior

Sang-gil Lee, Heeseung Kim, Chaehun Shin, Xu Tan, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, Tie-Yan Liu, in Proceedings of International Conference on Learning Representations (ICLR), April 2022.
preprint  link  arXiv

25 April 2022
Conference, Sungroh Yoon

Towards a Rigorous Evaluation of Time-series Anomaly Detection

Siwon Kim, Kukjin Choi, Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon , in Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, February 2022.
preprint  link  arXiv  

22 February 2022
Conference, Sungroh Yoon

Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation

Jungbeom Lee, Jooyoung Choi, Jisoo Mok, Sungroh Yoon, in Proceedings of the Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS), Virtual, December 2021.
preprint  link  arXiv  code

06 December 2021
Conference, Sungroh Yoon

Noise-Robust Deep Spiking Neural Networks with Temporal Information

Seongsik Park, Dongjin Lee, Sungroh Yoon, in Proceedings of Design Automation Conference (DAC), San Francisco, USA, December 2021.
preprint  link  arXiv

05 December 2021
Conference, Sungroh Yoon

Variance-stationary Differentiable NAS

Hyeokjun Choe, Byunggook Na, Jisoo Mok, Sungroh Yoon, in Proceedings of the British Machine Vision Conference (BMVC), Virtual, November 2021.
preprint  link  

22 November 2021
Conference, Sungroh Yoon

AligNART: Non-autoregressive Neural Machine Translation by Jointly Learning to Estimate Alignment and Translate

Jongyoon Song, Sungwon Kim, Sungroh Yoon, in Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), Punta Cana, Dominican Republic, November 2021.
preprint  link

07 November 2021
Conference, Sungroh Yoon

ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, Sungroh Yoon, in Proceedings of International Conference on Computer Vision (ICCV), Oral Presentation, Virtual, October 2021.
preprint  link  arXiv  github

11 October 2021
Conference, Sungroh Yoon

AdvRush: Searching for Adversarially Robust Neural Architectures

Jisoo Mok, Byunggook Na, Hyeokjun Choe, Sungroh Yoon, in Proceedings of International Conference on Computer Vision (ICCV), Virtual, October 2021.
preprint  link  arXiv

11 October 2021
Conference, Sungroh Yoon

Toward Spatially Unbiased Generative Models

Jooyoung Choi, Jungbeom Lee, Yonghyun Jeong, Sungroh Yoon, in Proceedings of International Conference on Computer Vision (ICCV), Virtual, October 2021.
preprint  link  arXiv  github

11 October 2021
Conference, Sungroh Yoon

Towards High Generalization Performance on Electrocardiogram Classification

Hyeongrok Han, Seongjae Park, Seonwoo Min, Hyun-Soo Choi, Eunji Kim, Hyunki Kim, Sangha Park, Jinkook Kim, Junsang Park, Junho An, Kwanglo Lee, Wonsun Jeong, Sangil Chon, Kwonwoo Ha, Myungkyu Han, Sungroh Yoon, in Proceedings of Computing in Cardiology (CinC), pp. 1-4, doi: 10.23919/CinC53138.2021.9662737, Brno, Czech Republic, September 2021.
paper  link  

13 September 2021
Conference, Sungroh Yoon

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