Category / Conference

Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search

Jaehyeon Kim, Sungwon Kim, Jungil Kong, Sungroh Yoon, in Proceedings of Neural Information Processing Systems (NeurIPS), December 2020.
preprint  link  arXiv  code

06 December 2020
Conference, Sungroh Yoon

NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity

Sang-gil Lee, Sungwon Kim, Sungroh Yoon, in Proceedings of Neural Information Processing Systems (NeurIPS), December 2020.
preprint  link  arXiv

06 December 2020
Conference, Sungroh Yoon

Interpretation of NLP models through input marginalization

Siwon Kim, Jihun Yi, Eunji Kim, Sungroh Yoon, in Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP), November 2020.
preprint  link  arXiv  

16 November 2020
Conference, Sungroh Yoon

Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation

Jihun Yi, Sungroh Yoon, in Proceedings of Asian Conference on Computer Vision (ACCV), November 2020.
preprint  link  arXiv

17 September 2020
Conference, Sungroh Yoon

iCaps: An Interpretable Classifier via Disentangled Capsule Networks

Dahuin Jung, Jonghyun Lee, Jihun Yi, Sungroh Yoon, in Proceedings of European Conference on Computer Vision (ECCV), Glasgow, UK, August 2020.
paper  slides   link  arxiv  suppl

23 August 2020
Conference, Sungroh Yoon

Self-supervised Perceptual Motion Deblurring using a Conditional Generative Neural Network Guided by Optical Flow

Jaihyun Koh, Sungroh Yoon, Society for Information Display (SID) Display Week Symposium, San Jose, USA, August 2020.
preprint  link

03 August 2020
Conference, Sungroh Yoon

Blood Pressure Prediction by a Smartphone Sensor using Fully Convolutional Networks

Sanghyun Baek, Jiyong Jang, Sung-Hwan Cho, Jong Min Choi, Sungroh Yoon, in Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Montreal, Canada, July 2020.
preprint  link

20 July 2020
Conference, Sungroh Yoon

Improving the accuracy of blood pressure prediction by distilling the knowledge of neural networks

Sanghyun Baek, Byunghan Lee, Sungroh Yoon, in Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Montreal, Canada, July 2020.
preprint  link

20 July 2020
Conference, Sungroh Yoon

T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding

Seongsik Park, Seijoon Kim, Byunggook Na, Sungroh Yoon, in Proceedings of Design Automation Conference (DAC), San Francisco, USA, July 2020.
preprint  link

19 July 2020
Conference, Sungroh Yoon

Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization

Saehyung Lee, Hyungyu Lee, Sungroh Yoon, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 272-281, Seattle, USA, June 2020.
paper  slides  link  arXiv  suppl

16 June 2020
Conference, Sungroh Yoon

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