| CO-PILOT: COllaborative Planning and reInforcement Learning On sub-Task curriculum S Ao, T Zhou, G Long, Q Lu, L Zhu, J Jiang Thirty-Fifth Conference on Neural Information Processing Systems, 2021 | 13 | 2021 |
| Two sides of miscalibration: identifying over and under-confidence prediction for network calibration S Ao, S Rueger, A Siddharthan Uncertainty in Artificial Intelligence, 77-87, 2023 | 6 | 2023 |
| Empirical optimal risk to quantify model trustworthiness for failure detection S Ao, S Rueger, A Siddharthan arXiv preprint arXiv:2308.03179, 2023 | 3 | 2023 |
| Large language models for next point-of-interest recommendation P Li, M de Rijke, H Xue, S Ao, Y Song, FD Salim Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 2 | 2024 |
| EAT-C: environment-adversarial sub-task curriculum for efficient reinforcement learning S Ao, T Zhou, J Jiang, G Long, X Song, C Zhang International Conference on Machine Learning, 822-843, 2022 | 2 | 2022 |
| REVEAL-IT: REinforcement learning with Visibility of Evolving Agent poLicy for InTerpretability S Ao, S Khan, H Aziz, FD Salim arXiv preprint arXiv:2406.14214, 2024 | | 2024 |
| Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned D Yin, J Deng, S Ao, Z Li, H Xue, A Prabowo, R Jiang, X Song, F Salim arXiv preprint arXiv:2406.12709, 2024 | | 2024 |
| XXLTraffic: Expanding and Extremely Long Traffic Dataset for Ultra-Dynamic Forecasting Challenges D Yin, H Xue, A Prabowo, S Ao, F Salim arXiv preprint arXiv:2406.12693, 2024 | | 2024 |
| CSS: Contrastive Semantic Similarity for Uncertainty Quantification of LLMs S Ao, S Rueger, A Siddharthan arXiv preprint arXiv:2406.03158, 2024 | | 2024 |
| Curriculum Reinforcement Learning via Morphology-Environment Co-Evolution S Ao, T Zhou, G Long, X Song, J Jiang arXiv preprint arXiv:2309.12529, 2023 | | 2023 |
| Confidence-aware calibration and scoring functions for curriculum learning S Ao, S Rueger, A Siddharthan Fifteenth International Conference on Machine Vision (ICMV 2022) 12701, 558-567, 2023 | | 2023 |
| Auto-Generated Curriculum For Reinforcement Learning S Ao | | 2023 |
| CSS: Contrastive Semantic Similarities for Uncertainty Quantification of LLMs S Ao, S Rueger, A Siddharthan The 40th Conference on Uncertainty in Artificial Intelligence, 0 | | |
| Curiosity Driven Protein Sequence Generation via Reinforcement Learning S Ao, T Zhou, L Niu, J Jiang, Y Long | | |
Tianyi ZhouAssistant Professor of Computer Science, University of Maryland, College Park在 umiacs.umd.edu 的电子邮件经过验证
