| TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP J Morris, E Lifland, JY Yoo, J Grigsby, D Jin, Y Qi Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 573 | 2020 |
| Long-range transformers for dynamic spatiotemporal forecasting J Grigsby, Z Wang, N Nguyen, Y Qi arXiv preprint arXiv:2109.12218, 2021 | 91 | 2021 |
| Measuring Visual Generalization in Continuous Control from Pixels J Grigsby, Y Qi NeurIPS 2020 Workshop on Deep Reinforcement Learning, 2020 | 25 | 2020 |
| Deep learning analysis of deeply virtual exclusive photoproduction J Grigsby, B Kriesten, J Hoskins, S Liuti, P Alonzi, M Burkardt Physical Review D 104 (1), 016001, 2021 | 21 | 2021 |
| RARE: Renewable Energy Aware Resource Management in Datacenters V Venkataswamy, J Grigsby, A Grimshaw, Y Qi Workshop on Job Scheduling Strategies for Parallel Processing, 108-130, 2022 | 8 | 2022 |
| PGrad: Learning Principal Gradients For Domain Generalization Z Wang, J Grigsby, Y Qi arXiv preprint arXiv:2305.01134, 2023 | 6 | 2023 |
| Towards Automatic Actor-Critic Solutions to Continuous Control J Grigsby, JY Yoo, Y Qi NeurIPS 2021 Workshop on Deep Reinforcement Learning, 2021 | 6 | 2021 |
| Amago: Scalable in-context reinforcement learning for adaptive agents J Grigsby, L Fan, Y Zhu arXiv preprint arXiv:2310.09971, 2023 | 3 | 2023 |
| ST-MAML: A stochastic-task based method for task-heterogeneous meta-learning Z Wang, J Grigsby, A Sekhon, Y Qi Uncertainty in Artificial Intelligence, 2066-2074, 2022 | 3 | 2022 |
| A Closer Look at Advantage-Filtered Behavioral Cloning in High-Noise Datasets J Grigsby, Y Qi arXiv preprint arXiv:2110.04698, 2021 | 3 | 2021 |
| Cross-Episodic Curriculum for Transformer Agents LX Shi, Y Jiang, J Grigsby, L Fan, Y Zhu Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
