| Multibench: Multiscale benchmarks for multimodal representation learning PP Liang, Y Lyu, X Fan, Z Wu, Y Cheng, J Wu, L Chen, P Wu, MA Lee, ... arXiv preprint arXiv:2107.07502, 2021 | 115 | 2021 |
| Quantifying & modeling feature interactions: An information decomposition framework PP Liang, Y Cheng, X Fan, CK Ling, S Nie, R Chen, Z Deng, F Mahmood, ... arXiv e-prints, arXiv: 2302.12247, 2023 | 17 | 2023 |
| Highmmt: Towards modality and task generalization for high-modality representation learning PP Liang, Y Lyu, X Fan, S Mo, D Yogatama, LP Morency, R Salakhutdinov arXiv preprint arXiv:2203.01311, 2022 | 17 | 2022 |
| High-modality multimodal transformer: Quantifying modality & interaction heterogeneity for high-modality representation learning PP Liang, Y Lyu, X Fan, J Tsaw, Y Liu, S Mo, D Yogatama, LP Morency, ... Transactions on Machine Learning Research, 2022 | 15 | 2022 |
| Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework PP Liang, Y Cheng, X Fan, CK Ling, S Nie, R Chen, Z Deng, N Allen, ... Advances in Neural Information Processing Systems 36, 2024 | 4 | 2024 |
| MULTIZOO & multibench: A standardized toolkit for multimodal deep learning PP Liang, Y Lyu, X Fan, A Agarwal, Y Cheng, LP Morency, ... The Journal of Machine Learning Research 24 (1), 11056-11062, 2023 | 2 | 2023 |
| Nano: Nested Human-in-the-Loop Reward Learning for Few-shot Language Model Control X Fan, Y Lyu, PP Liang, R Salakhutdinov, LP Morency arXiv preprint arXiv:2211.05750, 2022 | 1 | 2022 |
| HighMMT: Quantifying Modality & Interaction Heterogeneity for High-Modality Representation Learning PP Liang, Y Lyu, X Fan, J Tsaw, Y Liu, S Mo, D Yogatama, LP Morency, ... arXiv preprint arXiv:2203.01311, 2022 | | 2022 |
