| Fastspeech: Fast, robust and controllable text to speech Y Ren, Y Ruan, X Tan, T Qin, S Zhao, Z Zhao, TY Liu In Advances in Neural Information Processing Systems (NeurIPS) 2019, 2019 | 1274 | 2019 |
| Optimal Representations for Covariate Shift Y Ruan, Y Dubois, CJ Maddison In International Conference on Learning Representations (ICLR) 2022, 2022 | 91* | 2022 |
| Identifying the Risks of LM Agents with an LM-Emulated Sandbox Y Ruan, H Dong, A Wang, S Pitis, Y Zhou, J Ba, Y Dubois, CJ Maddison, ... In International Conference on Learning Representations (ICLR) 2024, 2023 | 69 | 2023 |
| Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding Y Ruan, K Ullrich, D Severo, J Townsend, A Khisti, A Doucet, A Makhzani, ... In International Conference on Machine Learning (ICML) 2021, 2021 | 32 | 2021 |
| Augment with Care: Contrastive Learning for Combinatorial Problems H Duan, P Vaezipoor, MB Paulus, Y Ruan, C Maddison In International Conference on Machine Learning (ICML) 2022, 2022 | 24* | 2022 |
| Data transmission in mobile edge networks: Whether and where to compress? J Ren, Y Ruan, G Yu IEEE Communications Letters 23 (3), 490-493, 2019 | 23 | 2019 |
| Calibrating language models via augmented prompt ensembles M Jiang, Y Ruan, S Huang, S Liao, S Pitis, RB Grosse, J Ba ICML Workshop on Deployment Challenges for Generative AI, 2023, 2023 | 20 | 2023 |
| Observational Scaling Laws and the Predictability of Language Model Performance Y Ruan, CJ Maddison, T Hashimoto arXiv preprint arXiv:2405.10938, 2024 | 19 | 2024 |
| Learning to learn by zeroth-order oracle Y Ruan, Y Xiong, S Reddi, S Kumar, CJ Hsieh In International Conference on Learning Representations (ICLR) 2020, 2020 | 19 | 2020 |
| Weighted Ensemble Self-Supervised Learning Y Ruan, S Singh, W Morningstar, AA Alemi, S Ioffe, I Fischer, JV Dillon In International Conference on Learning Representations (ICLR) 2023, 2022 | 18 | 2022 |
| Graph-based Uncertainty Metrics for Long-form Language Model Outputs M Jiang, Y Ruan, P Sattigeri, S Roukos, T Hashimoto arXiv preprint arXiv:2410.20783, 2024 | 1 | 2024 |
| APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts H Dong, Q Su, Y Gao, Z Li, Y Ruan, G Pekhimenko, CJ Maddison, X Si arXiv preprint arXiv:2406.13161, 2024 | | 2024 |
Chris J. MaddisonUniversity of TorontoVerified email at cs.toronto.edu
