| Security and Privacy Issues in Deep Learning H Bae, J Jang, D Jung, H Jang, H Ha, H Lee, S Yoon arXiv preprint arXiv:1807.11655, 2018 | 98 | 2018 |
| Confidence Score for Source-Free Unsupervised Domain Adaptation J Lee, D Jung, J Yim, S Yoon International Conference on Machine Learning (ICML) 2022, 2022 | 54 | 2022 |
| HexaGAN: Generative Adversarial Nets for Real World Classification U Hwang, D Jung, S Yoon International Conference on Machine Learning (ICML) 2019, 2019 | 52 | 2019 |
| AnomiGAN: Generative Adversarial Networks for Anonymizing Private Medical Data H Bae, D Jung, HS Choi, S Yoon Pacific Symposium on Biocomputing (PSB) 2020, 2019 | 37 | 2019 |
| Probabilistic Concept Bottleneck Models E Kim, D Jung, S Park, S Kim, S Yoon International Conference on Machine Learning (ICML) 2023, 2023 | 23 | 2023 |
| Imbalanced Data Classification via Cooperative Interaction between Classifier and Generator HS Choi, D Jung, S Kim, S Yoon IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS) 2022, 2021 | 21 | 2021 |
| Pixelsteganalysis: Pixel-wise Hidden Information Removal with Low Visual Degradation D Jung, H Bae, HS Choi, S Yoon IEEE Transactions on Dependable and Secure Computing (IEEE TDSC) 2023, 2021 | 19* | 2021 |
| FedClassAvg: Local Representation Learning for Personalized Federated Learning on Heterogeneous Neural Networks J Jang, H Ha, D Jung, S Yoon International Conference on Parallel Processing (ICPP) 2022, 2022 | 13 | 2022 |
| New Insights for the Stability-Plasticity Dilemma in Online Continual Learning D Jung, D Lee, S Hong, H Jang, H Bae, S Yoon International Conference on Learning Representations (ICLR) 2023, 2023 | 12 | 2023 |
| iCaps: An Interpretable Classifier via Disentangled Capsule Networks D Jung, J Lee, J Yi, S Yoon European Conference on Computer Vision (ECCV) 2020, 2020 | 10 | 2020 |
| Improving Visual Prompt Tuning for Self-supervised Vision Transformers S Yoo, E Kim, D Jung, J Lee, S Yoon International Conference on Machine Learning (ICML) 2023, 2023 | 9 | 2023 |
| Generating Instance-level Prompts for Rehearsal-free Continual Learning D Jung, D Han, J Bang, H Song International Conference on Computer Vision (ICCV) 2023 (Oral), 2023 | 7 | 2023 |
| Diffusion-stego: Training-free diffusion generative steganography via message projection D Kim, C Shin, J Choi, D Jung, S Yoon arXiv preprint arXiv:2305.18726, 2023 | 4 | 2023 |
| PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising H Jang, J Park, D Jung, J Lew, H Bae, S Yoon Conference on Neural Information Processing Systems (NeurIPS) 2023, 2023 | 1 | 2023 |
| Entropy is not Enough for Test-time Adaptation: From the Perspective of Disentangled Factors J Lee*, D Jung*, S Lee, J Park, J Shin, U Hwang, S Yoon International Conference on Learning Representations (ICLR) 2024 (Spotlight), 2023 | 1 | 2023 |
| Stein Latent Optimization for Generative Adversarial Networks U Hwang, H Kim, D Jung, H Jang, H Lee, S Yoon International Conference on Learning Representations (ICLR) 2022, 2021 | 1 | 2021 |
| Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation Y Oh, J Lee, J Choi, D Jung, U Hwang, S Yoon arXiv preprint arXiv:2403.10911, 2024 | | 2024 |
| Sample-efficient Adversarial Imitation Learning D Jung, H Lee, S Yoon Journal of Machine Learning Research (JMLR) 25 (31), 1-32, 2024 | | 2024 |
| CLeAR: Continual Learning on Algorithmic Reasoning for Human-like Intelligence BG Kang, HG Kim, D Jung, S Yoon Conference on Neural Information Processing Systems (NeurIPS) 2023, 2023 | | 2023 |
| On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection S Park, J Mok, D Jung, S Lee, S Yoon Conference on Neural Information Processing Systems (NeurIPS) 2023, 2023 | | 2023 |
Sungroh YoonProfessor, Electrical and Computer Engineering & Artificial Intelligence, Seoul National Universitysnu.ac.kr의 이메일 확인됨
