| Teaching arithmetic to small transformers N Lee, K Sreenivasan, JD Lee, K Lee, D Papailiopoulos ICLR 2024, 2024 | 88 | 2024 |
| Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks J Park, J Park, Z Xiong, N Lee, J Cho, S Oymak, K Lee, D Papailiopoulos ICML 2024, 2024 | 69 | 2024 |
| Rate maximization with reinforcement learning for time-varying energy harvesting broadcast channels H Kim, W Shin, H Yang, N Lee, J Lee 2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019 | 6 | 2019 |
| On the design of tailored neural networks for energy harvesting broadcast channels: A reinforcement learning approach H Kim, J Kim, W Shin, H Yang, N Lee, SJ Kim, J Lee IEEE Access 8, 179678-179691, 2020 | 4 | 2020 |
| Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges N Lee, Z Cai, A Schwarzschild, K Lee, D Papailiopoulos arXiv preprint arXiv:2502.01612, 2025 | | 2025 |
| Super Seeds: extreme model compression by trading off storage with computation N Lee, S Rajput, J Sohn, H Wang, A Nagle, E Xing, K Lee, ... UpML 2022: Updatable Machine Learning (ICML 2022 Workshop), 2022 | | 2022 |
| Analog network coding using differential and double-differential modulation with relay selection S Heo, C Kim, N Lee, J Lee ICT Express 5 (2), 104-109, 2019 | | 2019 |