| Mtl-nas: Task-agnostic neural architecture search towards general-purpose multi-task learning Y Gao, H Bai, Z Jie, J Ma, K Jia, W Liu Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2020 | 87 | 2020 |
| Suod: Accelerating large-scale unsupervised heterogeneous outlier detection Y Zhao, X Hu, C Cheng, C Wang, C Wan, W Wang, J Yang, H Bai, Z Li, ... Proceedings of Machine Learning and Systems 3, 463-478, 2021 | 56 | 2021 |
| BatchQuant: Quantized-for-all Architecture Search with Robust Quantizer H Bai, M Cao, P Huang, J Shan https://arxiv.org/abs/2105.08952, 2021 | 33 | 2021 |
| From scarcity to efficiency: Improving clip training via visual-enriched captions Z Lai, H Zhang, W Wu, H Bai, A Timofeev, X Du, Z Gan, J Shan, ... arXiv preprint arXiv:2310.07699, 2023 | 12 | 2023 |
| Self-supervised semi-supervised learning for data labeling and quality evaluation H Bai, M Cao, P Huang, J Shan arXiv preprint arXiv:2111.10932, 2021 | 11 | 2021 |
| SUOD: toward scalable unsupervised outlier detection Y Zhao, X Ding, J Yang, H Bai arXiv preprint arXiv:2002.03222, 2020 | 10 | 2020 |
| Towards material classification of scenes using active thermography H Bai, T Bhattacharjee, H Chen, A Kapusta, CC Kemp 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 6 | 2018 |
| Mtl-nas: Task-agnostic neural architecture search towards general-purpose multi-task learning. 2020 IEEE Y Gao, H Bai, Z Jie, J Ma, K Jia, W Liu CVF Conference on Computer Vision and Pattern Recognition (CVPR), 11540-11549, 2020 | 5 | 2020 |
| PAEDID: Patch Autoencoder-based Deep Image Decomposition for pixel-level defective region segmentation S Mou, M Cao, H Bai, P Huang, J Shi, J Shan IISE Transactions, 1-15, 2023 | 4 | 2023 |
| RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection S Mou, X Gu, M Cao, H Bai, P Huang, J Shan, J Shi The Eleventh International Conference on Learning Representations, 2022 | 3 | 2022 |
| Empowering Unsupervised Domain Adaptation With Large-Scale Pre-Trained Vision-Language Models Z Lai, H Bai, H Zhang, X Du, J Shan, Y Yang, CN Chuah, M Cao Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 2 | 2024 |
| Vision datasets: A benchmark for vision-based industrial inspection H Bai, S Mou, T Likhomanenko, RG Cinbis, O Tuzel, P Huang, J Shan, ... arXiv preprint arXiv:2306.07890, 2023 | 2 | 2023 |
| A model that predicts the material recognition performance of thermal tactile sensing T Bhattacharjee, H Bai, H Chen, CC Kemp arXiv: 1711.01490, 2017 | 2 | 2017 |
| Analyzing material recognition performance of thermal tactile sensing using a large materials database and a real robot H Bai, H Chen, E Healy, CC Kemp, T Bhattacharjee 2022 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2255 …, 2022 | 1 | 2022 |
| Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation A Liu, H Bai, Z Lu, X Kong, S Wang, J Shan, M Cao, L Wen arXiv preprint arXiv:2402.11907, 2024 | | 2024 |
| Supplementary Material for the Paper: MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning Y Gao, H Bai, Z Jie, J Ma, K Jia, W Liu | | |
Zequn Jie, 揭泽群MeituanVerified email at u.nus.edu
