| SBEED: Convergent reinforcement learning with nonlinear function approximation B Dai, A Shaw, L Li, L Xiao, N He, Z Liu, J Chen, L Song International conference on machine learning, 1125-1134, 2018 | 324 | 2018 |
| SqueezeBERT: What can computer vision teach NLP about efficient neural networks? FN Iandola, AE Shaw, R Krishna, KW Keutzer arXiv preprint arXiv:2006.11316, 2020 | 126 | 2020 |
| Squeezeformer: An efficient transformer for automatic speech recognition S Kim, A Gholami, A Shaw, N Lee, K Mangalam, J Malik, MW Mahoney, ... Advances in Neural Information Processing Systems 35, 9361-9373, 2022 | 120 | 2022 |
| Squeezenas: Fast neural architecture search for faster semantic segmentation A Shaw, D Hunter, F Landola, S Sidhu Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 89 | 2019 |
| Meta architecture search A Shaw, W Wei, W Liu, L Song, B Dai Advances in Neural Information Processing Systems 32, 2019 | 46 | 2019 |
| Boosting the actor with dual critic B Dai, A Shaw, N He, L Li, L Song arXiv preprint arXiv:1712.10282, 2017 | 44 | 2017 |
| SqueezeBERT: What can computer vision teach NLP about efficient neural networks? arXiv 2020 FN Iandola, AE Shaw, R Krishna, KW Keutzer arXiv preprint arXiv:2006.11316, 2006 | 8 | 2006 |
| Learning disentangled prompts for compositional image synthesis K Sohn, A Shaw, Y Hao, H Zhang, L Polania, H Chang, L Jiang, I Essa arXiv preprint arXiv:2306.00763, 2023 | 6 | 2023 |
| BrainBits: How Much of the Brain are Generative Reconstruction Methods Using? D Mayo, C Wang, A Harbin, A Alabdulkareem, AE Shaw, B Katz, A Barbu arXiv preprint arXiv:2411.02783, 2024 | | 2024 |
| How do different interaction mediums affect visual-perceptual-spatial and motor planning abilities? D Mayo, A Shaw Computer 24 (28.47), 24.07, 0 | | |
