| Towards One Shot Search Space Poisoning in Neural Architecture Search (Student Abstract) N Saxena, R Wu, R Jain Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 13043 …, 2022 | 3* | 2022 |
| QENAS: Q-Learning for Efficient Neural Architecture Search R Wu, R Jain | 2 | 2021 |
| Linguistic Collapse: Neural Collapse in (Large) Language Models R Wu, V Papyan arXiv preprint arXiv:2405.17767, 2024 | 1 | 2024 |
| Poisoning the Search Space in Neural Architecture Search R Wu, N Saxena, R Jain arXiv preprint arXiv:2106.14406, 2021 | 1 | 2021 |
| SEE-2-SOUND: Zero-Shot Spatial Environment-to-Spatial Sound R Dagli, S Prakash, R Wu, H Khosravani arXiv preprint arXiv:2406.06612, 2024 | | 2024 |
| Custom Expressivity without the Degeneracy R Wu | | 2022 |
| NeuralArTS: Structuring Neural Architecture Search with Type Theory (Student Abstract) R Wu, N Saxena, R Jain Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 13085 …, 2022 | | 2022 |
| Analysis of Heuristics for Neural Architecture Search R Wu | | 2022 |
| Super-Resolution using Deep Learning CSC420H1: Project Report (CosmicMangos) M Fishkin, S Jain, R Wu | | 2021 |
| Comparing Image Captioning Results from CNN-LSTM and Nearest-Neighbors Approaches S Khalili-Moghaddam, J Nam, R Wu | | 2021 |
| Bayesian Filters State Estimation on Directed Graphs: On The Toronto Subway System R Wu, R Gao | | 2021 |
| Image Captioning: Nearest-Neighbors versus CNN-LSTM Approaches S Khalili-Moghaddam, J Nam, R Wu | | |
Rohan JainUniversity of Calgary; ML Collective在 mlcollective.org 的电子邮件经过验证
