Surpassing human-level face verification performance on LFW with GaussianFace C Lu, X Tang in Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI), 2015 | 461 | 2015 |
Flexible Spatio-Temporal Networks for Video Prediction C Lu, M Hirsch, B Schölkopf The IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), 2017 | 125 | 2017 |
Invariant Causal Representation Learning for Out-of-Distribution Generalization C Lu, Y Wu, JM Hernández-Lobato, B Schölkopf International Conference on Learning Representations, 2021 | 107 | 2021 |
Deconfounding Reinforcement Learning in Observational Settings C Lu, B Schölkopf, JM Hernández-Lobato arXiv preprint arXiv:1812.10576, 2018 | 75 | 2018 |
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning B Huang, F Feng, C Lu, S Magliacane, K Zhang International Conference on Learning Representations, 2021 | 73 | 2021 |
Nonlinear Invariant Risk Minimization: A Causal Approach C Lu, Y Wu, JM Hernández-Lobato, B Schölkopf | 65 | 2021 |
Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation C Lu*, B Huang*, K Wang, JM Hernández-Lobato, K Zhang, B Schölkopf in Proceedings of Neural Information Processing Systems Workshop on Offline …, 2020 | 65 | 2020 |
Action-sufficient state representation learning for control with structural constraints B Huang*, C Lu*, L Leqi, JM Hernández-Lobato, C Glymour, B Schölkopf, ... International Conference on Machine Learning, 9260-9279, 2022 | 43 | 2022 |
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding J Wu, T Yu, R Wang, Z Song, R Zhang, H Zhao, C Lu, S Li, R Henao in Proceedings of the 37th Conference on Neural Information Processing …, 2023 | 28 | 2023 |
From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities C Lu, C Qian, G Zheng, H Fan, H Gao, J Zhang, J Shao, J Deng, J Fu, ... arXiv preprint arXiv:2401.15071, 2024 | 15 | 2024 |
Learning the Face Prior for Bayesian Face Recognition C Lu, X Tang in Proceedings of European Conference on Computer Vision (ECCV), 119-134, 2014 | 14 | 2014 |
Invariant Causal Representation Learning for Generalization in Imitation and Reinforcement Learning C Lu, JM Hernández-Lobato, B Schölkopf ICLR2022 Workshop on the Elements of Reasoning: Objects, Structure and Causality, 2022 | 13 | 2022 |
Face Recognition Using Face Patch Networks C Lu, D Zhao, X Tang in Proceedings of IEEE International Conference on Computer Vision (ICCV …, 2013 | 12 | 2013 |
ConditionVideo: Training-Free Condition-Guided Video Generation B Peng, X Chen, Y Wang, C Lu, Y Qiao Proceedings of the AAAI Conference on Artificial Intelligence 38 (5), 4459-4467, 2024 | 11 | 2024 |
Causal Evaluation of Language Models S Chen, B Peng, M Chen, R Wang, M Xu, X Zeng, R Zhao, S Zhao, Y Qiao, ... arXiv preprint arXiv:2405.00622, 2024 | 10 | 2024 |
Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective M Chen, Y Cao, Y Zhang, C Lu Empirical Methods in Natural Language Processing (EMNLP) Findings, 2024 | 10 | 2024 |
Few-Shot Composition Learning for Image Retrieval with Prompt Tuning J Wu, R Wang, H Zhao, R Zhang, C Lu, S Li, R Henao in Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI), 2023 | 8 | 2023 |
Oasis: Open agents social interaction simulations on one million agents Z Yang, Z Zhang, Z Zheng, Y Jiang, Z Gan, Z Wang, Z Ling, J Chen, M Ma, ... arXiv preprint arXiv:2411.11581, 2024 | 7 | 2024 |
Interpreting Spatially Infinite Generative Models C Lu, R Turner, Y Li, N Kushman in Proceedings of ICML Workshop on Human Interpretability in Machine …, 2020 | 6 | 2020 |
Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations Y Hu, Y Guo, P Wang, X Chen, YJ Wang, J Zhang, K Sreenath, C Lu, ... arXiv preprint arXiv:2412.14803, 2024 | 5 | 2024 |