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 | 444 | 2022 |
Online class-incremental continual learning with adversarial shapley value Z Mai*, J Jeong*, D Shim*, S Sanner, H Kim, J Jang 🏆 (Oral) Proceedings of the AAAI Conference on Artificial Intelligence 35 …, 2021 | 225 | 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 | 195 | 2021 |
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 | 60 | 2023 |
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 | 60 | 2022 |
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 | 55 | 2023 |
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 | 41 | 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 | 41* | 2023 |
Batch-level Experience Replay with Review for Continual Learning Z Mai, H Kim, J Jeong, S Sanner 🏆 1st place solution for CVPR2020 CLVision Challenge, 2020 | 21 | 2020 |
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 | 20 | 2022 |
MLLM-CompBench: A Comparative Reasoning Benchmark for Multimodal LLMs Z Mai*, J Kil*, J Lee, A Chowdhury, Z Wang, K Cheng, L Wang, Y Liu, ... The Thirty-eight Conference on Neural Information Processing Systems …, 2024 | 5* | 2024 |
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 | 4 | 2022 |
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, 29149-29173, 2023 | 3 | 2023 |
Online Continual Learning in Image Classification Z Mai University of Toronto, 2021 | 3 | 2021 |
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 |
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 |
Lessons Learned from a Unifying Empirical Study of Parameter-Efficient Transfer Learning (PETL) in Visual Recognition Z Mai, P Zhang, CH Tu, HY Chen, L Zhang, WL Chao arXiv preprint arXiv:2409.16434, 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 | 1 | 2021 |
Fine-Tuning is Fine, if Calibrated Z Mai*, A Chowdhury*, P Zhang*, CH Tu, HY Chen, V Pahuja, ... NeurIPS 2024, 2024 | | 2024 |