| Autovc: Zero-shot voice style transfer with only autoencoder loss K Qian, Y Zhang, S Chang, X Yang, M Hasegawa-Johnson International Conference on Machine Learning, 5210-5219, 2019 | 539 | 2019 |
| The lottery ticket hypothesis for pre-trained bert networks T Chen, J Frankle, S Chang, S Liu, Y Zhang, Z Wang, M Carbin Advances in neural information processing systems 33, 15834-15846, 2020 | 379 | 2020 |
| Dilated recurrent neural networks S Chang, Y Zhang, W Han, M Yu, X Guo, W Tan, X Cui, M Witbrock, ... Advances in neural information processing systems 30, 2017 | 371 | 2017 |
| Streaming recommender systems S Chang, Y Zhang, J Tang, D Yin, Y Chang, MA Hasegawa-Johnson, ... Proceedings of the 26th international conference on world wide web, 381-389, 2017 | 248 | 2017 |
| Invariant rationalization S Chang, Y Zhang, M Yu, T Jaakkola International Conference on Machine Learning, 1448-1458, 2020 | 220 | 2020 |
| DiffCSE: Difference-based contrastive learning for sentence embeddings YS Chuang, R Dangovski, H Luo, Y Zhang, S Chang, M Soljačić, SW Li, ... arXiv preprint arXiv:2204.10298, 2022 | 202 | 2022 |
| Unsupervised speech decomposition via triple information bottleneck K Qian, Y Zhang, S Chang, M Hasegawa-Johnson, D Cox International Conference on Machine Learning, 7836-7846, 2020 | 200 | 2020 |
| Rethinking cooperative rationalization: Introspective extraction and complement control M Yu, S Chang, Y Zhang, TS Jaakkola arXiv preprint arXiv:1910.13294, 2019 | 155 | 2019 |
| The lottery tickets hypothesis for supervised and self-supervised pre-training in computer vision models T Chen, J Frankle, S Chang, S Liu, Y Zhang, M Carbin, Z Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 137 | 2021 |
| Fast wavenet generation algorithm TL Paine, P Khorrami, S Chang, Y Zhang, P Ramachandran, ... arXiv preprint arXiv:1611.09482, 2016 | 120 | 2016 |
| Contentvec: An improved self-supervised speech representation by disentangling speakers K Qian, Y Zhang, H Gao, J Ni, CI Lai, D Cox, M Hasegawa-Johnson, ... International Conference on Machine Learning, 18003-18017, 2022 | 113 | 2022 |
| Speech Enhancement Using Bayesian Wavenet. K Qian, Y Zhang, S Chang, X Yang, D Florêncio, M Hasegawa-Johnson Interspeech, 2013-2017, 2017 | 101 | 2017 |
| Generating visually aligned sound from videos P Chen, Y Zhang, M Tan, H Xiao, D Huang, C Gan IEEE Transactions on Image Processing 29, 8292-8302, 2020 | 88 | 2020 |
| Fast generation for convolutional autoregressive models P Ramachandran, TL Paine, P Khorrami, M Babaeizadeh, S Chang, ... arXiv preprint arXiv:1704.06001, 2017 | 82 | 2017 |
| Uncovering the disentanglement capability in text-to-image diffusion models Q Wu, Y Liu, H Zhao, A Kale, T Bui, T Yu, Z Lin, Y Zhang, S Chang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 76 | 2023 |
| A game theoretic approach to class-wise selective rationalization S Chang, Y Zhang, M Yu, T Jaakkola Advances in neural information processing systems 32, 2019 | 66 | 2019 |
| Parp: Prune, adjust and re-prune for self-supervised speech recognition CIJ Lai, Y Zhang, AH Liu, S Chang, YL Liao, YS Chuang, K Qian, ... Advances in Neural Information Processing Systems 34, 21256-21272, 2021 | 65 | 2021 |
| Autotamp: Autoregressive task and motion planning with llms as translators and checkers Y Chen, J Arkin, C Dawson, Y Zhang, N Roy, C Fan 2024 IEEE International Conference on Robotics and Automation (ICRA), 6695-6702, 2024 | 63 | 2024 |
| Deep learning based speech beamforming K Qian, Y Zhang, S Chang, X Yang, D Florencio, M Hasegawa-Johnson 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 46 | 2018 |
| Speechsplit2. 0: Unsupervised speech disentanglement for voice conversion without tuning autoencoder bottlenecks CH Chan, K Qian, Y Zhang, M Hasegawa-Johnson ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 43 | 2022 |
Shiyu ChangUniversity of California, Santa BarbaraZweryfikowany adres z cs.ucsb.edu
