| Broadcasted residual learning for efficient keyword spotting B Kim, S Chang, J Lee, D Sung arXiv preprint arXiv:2106.04140, 2021 | 117 | 2021 |
| QTI submission to DCASE 2021: Residual normalization for device-imbalanced acoustic scene classification with efficient design B Kim, S Yang, J Kim, S Chang arXiv preprint arXiv:2206.13909, 2022 | 76 | 2022 |
| PQK: model compression via pruning, quantization, and knowledge distillation J Kim, S Chang, N Kwak arXiv preprint arXiv:2106.14681, 2021 | 42 | 2021 |
| Subspectral normalization for neural audio data processing S Chang, H Park, J Cho, H Park, S Yun, K Hwang ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 34 | 2021 |
| Domain generalization with relaxed instance frequency-wise normalization for multi-device acoustic scene classification B Kim, S Yang, J Kim, H Park, J Lee, S Chang arXiv preprint arXiv:2206.12513, 2022 | 32 | 2022 |
| Broadcasting convolutional network for visual relational reasoning S Chang, J Yang, SU Park, N Kwak Proceedings of the European Conference on Computer Vision (ECCV), 754-769, 2018 | 26 | 2018 |
| Domain generalization on efficient acoustic scene classification using residual normalization B Kim, S Yang, J Kim, S Chang arXiv preprint arXiv:2111.06531, 2021 | 21 | 2021 |
| Genetic-gated networks for deep reinforcement learning S Chang, J Yang, J Choi, N Kwak Advances in neural information processing systems 31, 2018 | 19 | 2018 |
| Urnet: User-resizable residual networks with conditional gating module S Lee, S Chang, N Kwak Proceedings of the AAAI conference on artificial intelligence 34 (04), 4569-4576, 2020 | 14 | 2020 |
| Dummy prototypical networks for few-shot open-set keyword spotting B Kim, S Yang, I Chung, S Chang arXiv preprint arXiv:2206.13691, 2022 | 12 | 2022 |
| Sym-parameterized dynamic inference for mixed-domain image translation S Chang, SU Park, J Yang, N Kwak Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 12* | 2019 |
| Personalized keyword spotting through multi-task learning S Yang, B Kim, I Chung, S Chang arXiv preprint arXiv:2206.13708, 2022 | 9 | 2022 |
| Quadapter: Adapter for gpt-2 quantization M Park, J You, M Nagel, S Chang arXiv preprint arXiv:2211.16912, 2022 | 8 | 2022 |
| Dynamic iterative refinement for efficient 3d hand pose estimation J Yang, Y Bhalgat, S Chang, F Porikli, N Kwak Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 6 | 2022 |
| Task-agnostic open-set prototype for few-shot open-set recognition B Kim, JT Lee, K Shim, S Chang 2023 IEEE International Conference on Image Processing (ICIP), 31-35, 2023 | 5 | 2023 |
| Distribution estimation to automate transformation policies for self-supervision S Yang, D Das, S Chang, S Yun, F Porikli arXiv preprint arXiv:2111.12265, 2021 | 5 | 2021 |
| Prototype-based personalized pruning J Kim, S Chang, S Yun, N Kwak ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 5 | 2021 |
| Towards Governing Agent’s Efficacy: Action-Conditional -VAE for Deep Transparent Reinforcement Learning J Yang, G Lee, S Chang, N Kwak Asian conference on machine learning, 32-47, 2019 | 5 | 2019 |
| Self-evolutionary optimization for Pareto front learning S Chang, KY Yoo, J Jang, N Kwak arXiv preprint arXiv:2110.03461, 2021 | 4 | 2021 |
| Towards robust domain generalization in 2d neural audio processing B Kim, S Yang, J Kim, H Park, JT Lee, S Chang | 3 | 2021 |
