| Addressing Class Imbalance in Image-Based Plant Disease Detection: Deep Generative vs. Sampling-Based Approaches NM Nafi, WH Hsu 27th International Conference on Systems, Signals and Image Processing …, 2020 | 21 | 2020 |
| Hyperbolically discounted advantage estimation for generalization in reinforcement learning NM Nafi, RF Ali, W Hsu Decision Awareness in Reinforcement Learning Workshop at ICML 2022, 2022 | 12 | 2022 |
| Attention-based Partial Decoupling of Policy and Value for Generalization in Reinforcement Learning NM Nafi, C Glasscock, W Hsu 21st IEEE International Conference on Machine Learning and Applications (ICMLA), 2022 | 10 | 2022 |
| Abstractive Text Summarization of Disaster-Related Documents NM Nafi, A Bose, S Khanal, D Caragea, WH Hsu 17th International Conference on Information Systems for Crisis Response and …, 2020 | 6 | 2020 |
| Analyzing the Sensitivity to Policy-Value Decoupling in Deep Reinforcement Learning Generalization NM Nafi, RF Ali, W Hsu International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2023 | 5 | 2023 |
| Multi-Horizon Learning in Procedurally-Generated Environments for Off-Policy Reinforcement Learning (Student Abstract) RF Ali, K Duong, NM Nafi, W Hsu Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 16150 …, 2023 | 4 | 2023 |
| Policy Optimization with Augmented Value Targets for Generalization in Reinforcement Learning NM Nafi, G Poggi-Corradini, W Hsu International Joint Conference on Neural Networks (IJCNN) 2023, 2023 | 3 | 2023 |
| Efficient Multi-Horizon Learning for Off-Policy Reinforcement Learning RF Ali, NM Nafi, K Duong, W Hsu Deep Reinforcement Learning Workshop NeurIPS 2022, 2022 | 3 | 2022 |
| eGAN: Unsupervised Approach to Class Imbalance using Transfer Learning A Okerinde, W Hsu, T Theis, N Nafi, L Shamir Computer Analysis of Images and Patterns 13052, 322-331, 2021 | 3 | 2021 |
| Policy Optimization using Horizon Regularized Advantage to Improve Generalization in Reinforcement Learning NM Nafi, RF Ali, W Hsu, K Duong, M Vick International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2024 | 2 | 2024 |
| Reinforcement Learning with Augmentation Invariant Representation: A Non-contrastive Approach NM Nafi, W Hsu NeurIPS 2023 Workshop on Generalization in Planning, 2023 | 1 | 2023 |
| Risky Tackle Detection from American Football Practice Videos using 3D Convolutional Networks NM Nafi, S Dietrich, W Hsu 18th International Conference on Machine Learning and Data Mining (MLDM …, 2022 | 1 | 2022 |
| Architectural and algorithmic strategies for generalizable deep reinforcement learning NM Nafi Kansas State University, 2024 | | 2024 |
| Relevant Instance Segmentation in American Football Practice Images to Aid Risky Tackle Detection NM Nafi, A Rediger, S Dietrich, W Hsu International Conference on Machine Learning and Applications (ICMLA), 725-729, 2023 | | 2023 |
| Learning Representations and Robust Exploration for Improved Generalization in Reinforcement Learning NM Nafi International Conference on Autonomous Agents and Multiagent Systems (AAMAS …, 2023 | | 2023 |
| MetaVHAR: Meta-Learning for Video-Based Human Activity Recognition NM Nafi, W Hsu AAAI Workshop on User-Centric Artificial Intelligence for Assistance in At …, 2023 | | 2023 |
| Attention-based Partial Decoupling of Policy and Value for Generalization in Reinforcement Learning NM Nafi, C Glasscock, W Hsu Deep Reinforcement Learning Workshop at NeurIPS 2021, 2021 | | 2021 |
| Generative versus Sampling-Based Approaches to Variability of Class Imbalance in Visual Anomaly Detection NM Nafi | | 2019 |
| Identifying and Correcting Risky Tackle Technique in American Football Authors SR Dietrich, NM Nafi, T Hibbs, R Givens | | |
| BEST PAPER NM Nafi, WH Hsu, M Claro, L Vogado, R Veras, A Santana, J Tavares, ... | | |
William H. HsuProfessor of Computer Science, Kansas State UniversityVerified email at ksu.edu