Paul Pu Liang
Orcid: 0000-0001-7768-3610
According to our database1,
Paul Pu Liang
authored at least 81 papers
between 2017 and 2023.
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Bibliography
2023
J. Mach. Learn. Res., 2023
Think Twice: Perspective-Taking Improves Large Language Models' Theory-of-Mind Capabilities.
CoRR, 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction.
CoRR, 2023
CoRR, 2023
Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Multimodal Interaction, 2023
Proceedings of the 25th International Conference on Multimodal Interaction, 2023
HIINT: Historical, Intra- and Inter- personal Dynamics Modeling with Cross-person Memory Transformer.
Proceedings of the 25th International Conference on Multimodal Interaction, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Towards Vision-Language Mechanistic Interpretability: A Causal Tracing Tool for BLIP.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Lecture Presentations Multimodal Dataset: Towards Understanding Multimodality in Educational Videos.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the 17th IEEE International Conference on Automatic Face and Gesture Recognition, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
MultiViz: Towards User-Centric Visualizations and Interpretations of Multimodal Models.
Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
Language Models Get a Gender Makeover: Mitigating Gender Bias with Few-Shot Data Interventions.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023
Cross-modal Attention Congruence Regularization for Vision-Language Relation Alignment.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Foundations and Recent Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions.
CoRR, 2022
Multimodal Lecture Presentations Dataset: Understanding Multimodality in Educational Slides.
CoRR, 2022
CoRR, 2022
CoRR, 2022
CoRR, 2022
HighMMT: Towards Modality and Task Generalization for High-Modality Representation Learning.
CoRR, 2022
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
DIME: Fine-grained Interpretations of Multimodal Models via Disentangled Local Explanations.
Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022
2021
CoRR, 2021
CoRR, 2021
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021
Learning Language and Multimodal Privacy-Preserving Markers of Mood from Mobile Data.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
Deep Neural Network for Robust Modulation Classification Under Uncertain Noise Conditions.
IEEE Trans. Veh. Technol., 2020
CoRR, 2020
Think Locally, Act Globally: Federated Learning with Local and Global Representations.
CoRR, 2020
CMU-MOSEAS: A Multimodal Language Dataset for Spanish, Portuguese, German and French.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Diverse and Admissible Trajectory Forecasting Through Multimodal Context Understanding.
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Words Can Shift: Dynamically Adjusting Word Representations Using Nonverbal Behaviors.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Found in Translation: Learning Robust Joint Representations by Cyclic Translations between Modalities.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Label-Assisted Transmission for Short Packet Communications: A Machine Learning Approach.
IEEE Trans. Veh. Technol., 2018
CoRR, 2018
Proceedings of the 2018 on International Conference on Multimodal Interaction, 2018
Proceedings of the 2018 IEEE International Conference on Communications, 2018
Robust Modulation Classification under Uncertain Noise Condition Using Recurrent Neural Network.
Proceedings of the IEEE Global Communications Conference, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
An Empirical Evaluation of Sketched SVD and its Application to Leverage Score Ordering.
Proceedings of The 10th Asian Conference on Machine Learning, 2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Proceedings of the 19th ACM International Conference on Multimodal Interaction, 2017