| Squeezeseg: Convolutional Neural Nets with Recurrent CRF for Real-time Road-Object Segmentation from 3D LiDAR Point Cloud B Wu, A Wan, X Yue, K Keutzer 2018 IEEE International Conference on Robotics and Automation (ICRA), 1887-1893, 2018 | 1119 | 2018 |
| Visual transformers: Where do transformers really belong in vision models? B Wu, C Xu, X Dai, A Wan, P Zhang, Z Yan, M Tomizuka, JE Gonzalez, ... Proceedings of the IEEE/CVF International Conference on Computer Vision, 599-609, 2021 | 703* | 2021 |
| Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions B Wu, A Wan, X Yue, P Jin, S Zhao, N Golmant, A Gholaminejad, ... Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017 | 472 | 2017 |
| FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions A Wan, X Dai, P Zhang, Z He, Y Tian, S Xie, B Wu, M Yu, T Xu, K Chen, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 368 | 2020 |
| Model-based value estimation for efficient model-free reinforcement learning V Feinberg, A Wan, I Stoica, MI Jordan, JE Gonzalez, S Levine arXiv preprint arXiv:1803.00101, 2018 | 366 | 2018 |
| NBDT: Neural-Backed Decision Trees A Wan, L Dunlap, D Ho, J Yin, S Lee, H Jin, S Petryk, SA Bargal, ... International Conference on Learning Representations (2021), 2021 | 212 | 2021 |
| Fbnetv3: Joint architecture-recipe search using predictor pretraining X Dai, A Wan, P Zhang, B Wu, Z He, Z Wei, K Chen, Y Tian, M Yu, P Vajda, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 192* | 2021 |
| Model-based value expansion for efficient model-free reinforcement learning V Feinberg, A Wan, I Stoica, MI Jordan, JE Gonzalez, S Levine Proceedings of the 35th International Conference on Machine Learning (ICML 2018), 2018 | 80 | 2018 |
| CathAI: fully automated coronary angiography interpretation and stenosis estimation R Avram, JE Olgin, Z Ahmed, L Verreault-Julien, A Wan, J Barrios, ... npj Digital Medicine 6 (1), 142, 2023 | 36* | 2023 |
| Apple Intelligence Foundation Language Models T Gunter, Z Wang, C Wang, R Pang, A Narayanan, A Zhang, B Zhang, ... arXiv preprint arXiv:2407.21075, 2024 | 31 | 2024 |
| AutoFocusFormer: Image Segmentation off the Grid C Ziwen, K Patnaik, S Zhai, A Wan, Z Ren, AG Schwing, A Colburn, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 11 | 2023 |
| CoVista: A unified view on privacy sensitive mobile contact tracing effort D Culler, P Dutta, G Fierro, JE Gonzalez, N Pemberton, J Schleier-Smith, ... arXiv preprint arXiv:2005.13164, 2020 | 6 | 2020 |
| UPSCALE: Unconstrained Channel Pruning A Wan, H Hao, K Patnaik, Y Xu, O Hadad, D Güera, Z Ren, Q Shan International Conference on Machine Learning, 35384-35412, 2023 | 5 | 2023 |
| The super weight in large language models M Yu, D Wang, Q Shan, A Wan arXiv preprint arXiv:2411.07191, 2024 | 3 | 2024 |
| Efficiently Designing Efficient Deep Neural Networks A Wan University of California, Berkeley, 2022 | 1 | 2022 |
| Test-Time RAG: Enhancing Long Context Understanding in LLMs with Retrieval-Augmented Mechanisms SG Patil, P Ramesh, A Wan, I Stoica, Q Shan, JE Gonzalez | | |
Joseph E. GonzalezProfessor of Computer Science, UC Berkeleyberkeley.edu의 이메일 확인됨