Membership Privacy-preserving GAN

Heonseok Ha, Uiwon Hwang, Jaehee Jang, Ho Bae, Sungroh Yoon, in Proceedigns of the 33rd British Machine Vision Conference (BMVC), London, UK, November 2022.
paper link

21 November 2022
Conference, Sungroh Yoon

Brain-inspired Predictive Coding Improves the Performance of Machine Challenging Tasks

Jangho Lee, Jeonghee Jo, Byounghwa Lee, Jung-Hoon Lee, Sungroh Yoon, Frontiers in Computational Neuroscience, DOI:10.3389/fncom.2022.1062678, November 2022.
paper

16 November 2022
Journal, Sungroh Yoon

FedClassAvg: Local representation learning for personalized federated learning on heterogeneous neural networks

Jaehee Jang, Heoneok Ha, Dahuin Jung, Sungroh Yoon, in Proceedings of the 51st International Conference on Parallel Processing (ICPP), article no. 76, pp. 1-10, August 2022.
paper  link

29 August 2022
Conference, Sungroh Yoon

Cross-Modal Temporal Semantic Alignment for Audio-Visual Event Localization

Jangho Lee, Jungbeom Lee, Jaihyun Koh, Sungroh Yoon, in Proceedings of 26th International Conference on Pattern Recognition (ICPR), Montreal, Canada, August 2022.
preprint  link

21 August 2022
Conference, Sungroh Yoon

Rethinking Masked Samples in Class-Imbalanced Semi-Supervised Learning

Jangho Lee, Jaihyun Koh, Seungryong Yoo, Sungroh Yoon, in Proceedings of 26th International Conference on Pattern Recognition (ICPR), Montreal, Canada, August 2022.
preprint  link

21 August 2022
Conference, Sungroh Yoon

Imbalanced Data Classification via Cooperative Interaction between Classifier and Generator

Hyun-Soo Choi, Dahuin Jung, Siwon Kim, Sungroh Yoon, IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 8, August 2022.
paper  link

01 August 2022
Journal, Sungroh Yoon

Data Embedding Scheme for Efficient Program Behavior Modeling with Neural Networks

Sunwoo Ahn, Hayoon Yi, Ho Bae, Sungroh Yoon, Yunheung Paek, IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 6, no. 4, August 2022.
paper  link

01 August 2022
Journal, Sungroh Yoon

AutoSNN: Towards Energy-Efficient Spiking Neural Networks

Byunggook Na, Jisoo Mok, Seongsik Park, Dongjin Lee, Hyeokjun Choe, Sungroh Yoon, in Proceedings of International Conference on Machine Learning (ICML), Baltimore, USA, July 2022.
preprint  link  arXiv

17 July 2022
Conference, Sungroh Yoon

Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance

Heeseung Kim*, Sungwon Kim*, Sungroh Yoon, in Proceedings of International Conference on Machine Learning (ICML), Spotlight, Baltimore, USA, July 2022. [* equal contribution]
preprint  link  arXiv

17 July 2022
Conference, Sungroh Yoon

Confidence Score for Source-Free Unsupervised Domain Adaptation

Jonghyun Lee, Dahuin Jung, Junho Yim, Sungroh Yoon, in Proceedings of International Conference on Machine Learning (ICML), Baltimore, USA, July 2022.
preprint  link

17 July 2022
Conference, Sungroh Yoon

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