| Ctrl: Closed-loop transcription to an ldr via minimaxing rate reduction X Dai, S Tong, M Li, Z Wu, M Psenka, KHR Chan, P Zhai, Y Yu, X Yuan, ... Entropy 24 (4), 456, 2022 | 23 | 2022 |
| Incremental learning of structured memory via closed-loop transcription S Tong, X Dai, Z Wu, M Li, B Yi, Y Ma ICLR 2023, 2022 | 12 | 2022 |
| Investigating the catastrophic forgetting in multimodal large language models Y Zhai, S Tong, X Li, M Cai, Q Qu, YJ Lee, Y Ma CPAL 2024, 2023 | 11 | 2023 |
| Revisiting sparse convolutional model for visual recognition M Li, P Zhai, S Tong, X Gao, SL Huang, Z Zhu, C You, Y Ma NIPS 2022, 2022 | 8 | 2022 |
| White-Box Transformers via Sparse Rate Reduction Y Yu, S Buchanan, D Pai, T Chu, Z Wu, S Tong, BD Haeffele, Y Ma NIPS2023, 2023 | 6 | 2023 |
| Emergence of segmentation with minimalistic white-box transformers Y Yu, T Chu, S Tong, Z Wu, D Pai, S Buchanan, Y Ma CPAL 2024, 2023 | 4 | 2023 |
| Mass-Producing Failures of Multimodal Systems with Language Models S Tong, E Jones, J Steinhardt NIPS2023, 2023 | 4 | 2023 |
| EMP-SSL: Towards Self-Supervised Learning in One Training Epoch S Tong, Y Chen, Y Ma, Y Lecun arXiv preprint arXiv:2304.03977, 2023 | 4 | 2023 |
| Unsupervised manifold linearizing and clustering T Ding, S Tong, KHR Chan, X Dai, Y Ma, BD Haeffele ICCV 2023, 2023 | 4 | 2023 |
| Closed-Loop Transcription via Convolutional Sparse Coding X Dai, K Chen, S Tong, J Zhang, X Gao, M Li, D Pai, Y Zhai, XI Yuan, ... CPAL 2024, 2023 | 3 | 2023 |
| Unsupervised learning of structured representations via closed-loop transcription S Tong, X Dai, Y Chen, M Li, Z Li, B Yi, Y LeCun, Y Ma CPAL 2024, 2022 | 3 | 2022 |
| Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models T Chu, S Tong, T Ding, X Dai, BD Haeffele, R Vidal, Y Ma arXiv preprint arXiv:2306.05272, 2023 | 1 | 2023 |
| White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is? Y Yu, S Buchanan, D Pai, T Chu, Z Wu, S Tong, H Bai, Y Zhai, ... arXiv preprint arXiv:2311.13110, 2023 | | 2023 |
Yi Ma (马毅)Professor of EECS, UC Berkeley; Director of IDS & Head of CS, University of Hong KongVerified email at eecs.berkeley.edu
