| Online continual learning in image classification: An empirical survey Z Mai, R Li, J Jeong, D Quispe, H Kim, S Sanner Neurocomputing 469, 28-51, 2022 | 325 | 2022 |
| Online class-incremental continual learning with adversarial shapley value Z Mai*, J Jeong*, D Shim*, S Sanner, H Kim, J Jang Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 9630-9638, 2021 | 163 | 2021 |
| Supervised contrastive replay: Revisiting the nearest class mean classifier in online class-incremental continual learning Z Mai, R Li, H Kim, S Sanner Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 150 | 2021 |
| CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions V Lomonaco, L Pellegrini, P Rodriguez, M Caccia, Q She, Y Chen, ... Artificial Intelligence 303, 103635, 2022 | 45 | 2022 |
| Transcam: Transformer attention-based cam refinement for weakly supervised semantic segmentation R Li, Z Mai, Z Zhang, J Jang, S Sanner Journal of Visual Communication and Image Representation 92, 103800, 2023 | 33 | 2023 |
| Segment anything model (sam) enhanced pseudo labels for weakly supervised semantic segmentation T Chen*, Z Mai*, R Li, W Chao NeurIPS 2023 ICBINB Workshop, 2023 | 25 | 2023 |
| Towards understanding and mitigating unintended biases in language model-driven conversational recommendation T Shen, J Li, MR Bouadjenek, Z Mai, S Sanner Information Processing & Management 60 (1), 103139, 2023 | 23* | 2023 |
| Batch-level Experience Replay with Review for Continual Learning Z Mai, H Kim, J Jeong, S Sanner CVPR2020 CLVision Challenge 1st Solution, 2020 | 21 | 2020 |
| Visual query tuning: Towards effective usage of intermediate representations for parameter and memory efficient transfer learning Z Mai*, CH Tu*, WL Chao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 14 | 2023 |
| Mitigating the filter bubble while maintaining relevance: Targeted diversification with VAE-based recommender systems Z Gao, T Shen, Z Mai, MR Bouadjenek, I Waller, A Anderson, R Bodkin, ... Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 12 | 2022 |
| Distributional Contrastive Embedding for Clarification-based Conversational Critiquing T Shen*, Z Mai*, G Wu, S Sanner Proceedings of the ACM Web Conference 2022, 2422-2432, 2022 | 3 | 2022 |
| Noise Contrastive Estimation for Autoencoding-based One-Class Collaborative Filtering JP Zhou, G Wu, Z Mai, S Sanner arXiv preprint arXiv:2008.01246, 2020 | 3 | 2020 |
| Online Continual Learning in Image Classification Z Mai University of Toronto, 2021 | 2 | 2021 |
| Attentive Autoencoders for Multifaceted Preference Learning in One-class Collaborative Filtering Z Mai, G Wu, K Luo, S Sanner IEEE International Conference on Data Mining Workshop (ICDMW), 2020, 2020 | 2 | 2020 |
| Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data CH Tu, HY Chen, Z Mai, J Zhong, V Pahuja, T Berger-Wolf, S Gao, ... Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Online class-incremental continual learning with adversarial shapley value S Dongsub, MAI Zheda, J Jeong, S Sanner, H Kim, J Jongseong US Patent App. 17/331,332, 2021 | | 2021 |
Scott SannerUniversity of TorontoVerified email at mie.utoronto.ca
