Morency, Louis-Philippe
- Multimodal Machine Learning: A Survey and Taxonomy
2017/05/26 by Tadas Baltrušaitis, Baltrušaitis, Tadas, Chaitanya Ahuja +3 · 1 voice · 116 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.LG
- Multimodal Transformer for Unaligned Multimodal Language Sequences
2019/06/01 by Tsai, Yao-Hung Hubert, Bai, Shaojie, Liang, Paul Pu +3 · 94 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- Tensor Fusion Network for Multimodal Sentiment Analysis
2017/07/23 by Zadeh, Amir, Chen, Minghai, Poria, Soujanya +2 · 50 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- Efficient Low-rank Multimodal Fusion with Modality-Specific Factors
2018/05/31 by Zhun Liu, Ying Shen, Liu, Zhun +9 · 44 citations
Computer Science · Psychology · #Sentiment Analysis and Opinion Mining #Emotion and Mood Recognition #Multimodal Machine Learning Applications
- SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents
2023/10/18 by Xuhui Zhou, Hao Zhu, Zhou, Xuhui +19 · 54 citations
Computer Science · #Topic Modeling #Multi-Agent Systems and Negotiation #Natural Language Processing Techniques
- Speaker-Follower Models for Vision-and-Language Navigation
2018/06/07 by Daniel Fried, Ronghang Hu, Fried, Daniel +17 · 27 citations
Computer Science · #Speech and dialogue systems #Natural Language Processing Techniques #Speech Recognition and Synthesis
- Memory Fusion Network for Multi-view Sequential Learning
2018/02/03 by Amir Zadeh, Zadeh, Amir, Paul Pu Liang +9 · 25 citations
Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning and ELM
- MultiBench: Multiscale Benchmarks for Multimodal Representation Learning
2021/07/15 by Liang, Paul Pu, Lyu, Yiwei, Fan, Xiang +9 · 27 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimedia (cs.MM)
- Language2Pose: Natural Language Grounded Pose Forecasting
2019/07/02 by Ahuja, Chaitanya, Morency, Louis-Philippe · 20 citations
#Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions
2022/09/07 by Paul Pu Liang, Liang, Paul Pu, Amir Zadeh +3 · 25 citations
Computer Science · #Speech and dialogue systems #Topic Modeling
- Towards Understanding and Mitigating Social Biases in Language Models
2021/06/24 by Liang, Paul Pu, Wu, Chiyu, Morency, Louis-Philippe +1 · 19 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Think Locally, Act Globally: Federated Learning with Local and Global Representations
2020/01/06 by Paul Pu Liang, Liang, Paul Pu, Terrance Liu +13 · 16 citations
Computer Science · Social Sciences · #Distributed #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel #Privacy, Security, and Data Protection #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
- Learning Factorized Multimodal Representations
2018/06/16 by Yao-Hung Hubert Tsai, Tsai, Yao-Hung Hubert, Paul Pu Liang +7 · 17 citations
Computer Science · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Sentiment Analysis and Opinion Mining #Topic Modeling
- Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework
2023/02/23 by Paul Pu Liang, Liang, Paul Pu, Yun Cheng +19 · 21 citations
Computer Science · #Topic Modeling #Machine Learning in Healthcare #Explainable Artificial Intelligence (XAI)
- Towards Debiasing Sentence Representations
2020/07/16 by Paul Pu Liang, Liang, Paul Pu, Irene Li +9 · 14 citations
Computer Science · #Topic Modeling #Hate Speech and Cyberbullying Detection #Natural Language Processing Techniques
- Found in Translation: Learning Robust Joint Representations by Cyclic Translations Between Modalities
2018/12/19 by Hai Pham, Paul Pu Liang, Pham, Hai +7 · 12 citations
Computer Science · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Sentiment Analysis and Opinion Mining #Topic Modeling
- Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
2023/06/08 by Liang, Paul Pu, Deng, Zihao, Ma, Martin +3 · 20 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimedia (cs.MM)
- Transformer Dissection: A Unified Understanding of Transformer's\n Attention via the Lens of Kernel
2019/08/30 by Yao-Hung Hubert Tsai, Shaojie Bai, Tsai, Yao-Hung Hubert +7 · 11 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling
- Embodied AI Agents: Modeling the World
2025/06/27 by Pascale Fung, Fung, Pascale, Yoram Bachrach +39 · 1 voice · 20 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #cs.AI
- Think Twice: Perspective-Taking Improves Large Language Models' Theory-of-Mind Capabilities
2023/11/16 by Alex Wilf, Sihyun Shawn Lee, Wilf, Alex +5 · 14 citations
Computer Science · Social Sciences · #Topic Modeling #Computational and Text Analysis Methods #Explainable Artificial Intelligence (XAI)
- DIME: Fine-grained Interpretations of Multimodal Models via Disentangled Local Explanations
2022/03/03 by Yiwei Lyu, Paul Pu Liang, Lyu, Yiwei +7 · 9 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Topic Modeling
- Multi-attention Recurrent Network for Human Communication Comprehension
2018/02/03 by Zadeh, Amir, Liang, Paul Pu, Poria, Soujanya +3 · 5 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis
2022/10/10 by Xiao, Yuxin, Liang, Paul Pu, Bhatt, Umang +3 · 7 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Deep Gamblers: Learning to Abstain with Portfolio Theory
2019/06/29 by Liu Ziyin, Zhikang Wang, Ziyin, Liu +9 · 5 citations
Economics, Econometrics and Finance · Engineering · #FOS: Computer and information sciences #Financial Markets and Investment Strategies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reservoir Engineering and Simulation Methods #Sports Analytics and Performance
- MMoE: Enhancing Multimodal Models with Mixtures of Multimodal Interaction Experts
2023/11/16 by Haofei Yu, Yu, Haofei, Qi, Zhengyang +7 · 8 citations
Computer Science · Psychology · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Language, Metaphor, and Cognition #Multimodal Machine Learning Applications #Topic Modeling
- Advancing Social Intelligence in AI Agents: Technical Challenges and Open Questions
2024/04/17 by Mathur, Leena, Liang, Paul Pu, Morency, Louis-Philippe · 10 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG)
- Understanding Masked Autoencoders via Hierarchical Latent Variable Models
2023/06/08 by Lingjing Kong, Martin Q. Ma, Kong, Lingjing +11 · 7 citations
Computer Science · Engineering · #Generative Adversarial Networks and Image Synthesis #Domain Adaptation and Few-Shot Learning #Image Processing Techniques and Applications
- Learning Representations from Imperfect Time Series Data via Tensor Rank\n Regularization
2019/07/01 by Paul Pu Liang, Zhun Liu, Liang, Paul Pu +9 · 4 citations
Computer Science · Mathematics · #Computation and Language (cs.CL) #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Tensor decomposition and applications #Topic Modeling
- Cross-modal Attention Congruence Regularization for Vision-Language Relation Alignment
2022/12/20 by Rohan Pandey, Rulin Shao, Pandey, Rohan +7 · 5 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- Multimodal Sentiment Analysis with Word-Level Fusion and Reinforcement Learning
2018/02/03 by Chen, Minghai, Wang, Sen, Liang, Paul Pu +3 · 3 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Multimodal Language Analysis with Recurrent Multistage Fusion
2018/08/12 by Liang, Paul Pu, Liu, Ziyin, Zadeh, Amir +1 · 3 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
- Conditional Contrastive Learning for Improving Fairness in Self-Supervised Learning
2021/06/05 by Ma, Martin Q., Tsai, Yao-Hung Hubert, Liang, Paul Pu +4 · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications
2023/06/07 by Liang, Paul Pu, Ling, Chun Kai, Cheng, Yun +6 · 4 citations
#Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Language Models Get a Gender Makeover: Mitigating Gender Bias with Few-Shot Data Interventions
2023/06/07 by Thakur, Himanshu, Jain, Atishay, Vaddamanu, Praneetha +2 · 4 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Words Can Shift: Dynamically Adjusting Word Representations Using Nonverbal Behaviors
2018/11/23 by Yansen Wang, Ying Shen, Wang, Yansen +9 · 3 citations
Computer Science · Psychology · #Sentiment Analysis and Opinion Mining #Emotion and Mood Recognition #Topic Modeling
- MultiViz: Towards Visualizing and Understanding Multimodal Models
2022/06/30 by Paul Pu Liang, Yiwei Lyu, Liang, Paul Pu +13 · 3 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #Software Engineering Research #Anomaly Detection Techniques and Applications
- High-Modality Multimodal Transformer: Quantifying Modality & Interaction Heterogeneity for High-Modality Representation Learning
2022/03/02 by Paul Pu Liang, Yiwei Lyu, Liang, Paul Pu +13 · 3 citations
Computer Science · #Speech and dialogue systems #Multimodal Machine Learning Applications #Music and Audio Processing
- Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models
2025/02/10 by Ce Zhang, Zhang, Ce, Zifu Wan +17 · 8 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Neuroscience · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #Fractal and DNA sequence analysis #Topological and Geometric Data Analysis
- Social Genome: Grounded Social Reasoning Abilities of Multimodal Models
2025/02/21 by Mathur, Leena, Qian, Marian, Liang, Paul Pu +1 · 8 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Neural Methods for Point-wise Dependency Estimation
2020/06/09 by Tsai, Yao-Hung Hubert, Zhao, Han, Yamada, Makoto +2 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
- AV-Flow: Transforming Text to Audio-Visual Human-like Interactions
2025/02/18 by Chatziagapi, Aggelina, Morency, Louis-Philippe, Gong, Hongyu +3 · 5 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Propose, Solve, Verify: Self-Play Through Formal Verification
2025/12/20 by Alex Wilf, Wilf, Alex, Pranjal Aggarwal +11 · 4 voices
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #cs.AI
- Seamless Interaction: Dyadic Audiovisual Motion Modeling and Large-Scale Dataset
2025/06/27 by Vasu Agrawal, Akinniyi Akinyemi, Agrawal, Vasu +165 · 1 voice · 4 citations
#cs.CV #cs.AI
- GazeDirector: Fully Articulated Eye Gaze Redirection in Video
2017/04/27 by Wood, Erroll, Baltrusaitis, Tadas, Morency, Louis-Philippe +2 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- HEMM: Holistic Evaluation of Multimodal Foundation Models
2024/07/03 by Paul Pu Liang, Liang, Paul Pu, Akshay Goindani +11 · 3 citations
Engineering · #BIM and Construction Integration
- Strong and Simple Baselines for Multimodal Utterance Embeddings
2019/05/14 by Liang, Paul Pu, Lim, Yao Chong, Tsai, Yao-Hung Hubert +2 · 1 citation
#Artificial Intelligence (cs.AI) #Audio and Speech Processing (eess.AS) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sound (cs.SD) #electronic engineering #information engineering
- LlaMADRS: Prompting Large Language Models for Interview-Based Depression Assessment
2025/01/07 by Kebe, Gaoussou Youssouf, Girard, Jeffrey M., Liebenthal, Einat +3 · 4 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #I.2.7
- What Gives the Answer Away? Question Answering Bias Analysis on Video QA Datasets
2020/07/07 by Yang, Jianing, Zhu, Yuying, Wang, Yongxin +3 · 1 citation
#Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Self-supervised Representation Learning with Relative Predictive Coding
2021/03/21 by Tsai, Yao-Hung Hubert, Ma, Martin Q., Yang, Muqiao +3 · 1 citation
#FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG)
- Understanding the Tradeoffs in Client-side Privacy for Downstream Speech Tasks
2021/01/22 by Peter Wu, Wu, Peter, Paul Pu Liang +9 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Audio and Speech Processing (eess.AS) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #FOS: Electrical engineering #Privacy-Preserving Technologies in Data #Sound (cs.SD) #Speech Recognition and Synthesis #electronic engineering #information engineering
- A Note on Connecting Barlow Twins with Negative-Sample-Free Contrastive Learning
2021/04/28 by Tsai, Yao-Hung Hubert, Bai, Shaojie, Morency, Louis-Philippe +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Integrating Auxiliary Information in Self-supervised Learning
2021/06/05 by Tsai, Yao-Hung Hubert, Li, Tianqin, Liu, Weixin +3 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Conditional Contrastive Learning with Kernel
2022/02/11 by Tsai, Yao-Hung Hubert, Li, Tianqin, Ma, Martin Q. +4 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- SeedBERT: Recovering Annotator Rating Distributions from an Aggregated Label
2022/11/23 by Aneesha Sampath, Victoria Lin, Sampath, Aneesha +3 · 1 citation
Computer Science · Psychology · Social Sciences · #Computation and Language (cs.CL) #Emotion and Mood Recognition #FOS: Computer and information sciences #Machine Learning (cs.LG) #Misinformation and Its Impacts #Sentiment Analysis and Opinion Mining
- Difference-Masking: Choosing What to Mask in Continued Pretraining
2023/05/23 by Wilf, Alex, Akter, Syeda Nahida, Mathur, Leena +5 · 1 citation
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Multimodal Fusion Interactions: A Study of Human and Automatic Quantification
2023/06/07 by Paul Pu Liang, Yun Cheng, Liang, Paul Pu +5 · 1 citation
Computer Science · Decision Sciences · #Advanced Text Analysis Techniques #Computation and Language (cs.CL) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Multi-Criteria Decision Making #Speech and dialogue systems
- Comparative Knowledge Distillation
2023/11/03 by Wilf, Alex, Xu, Alex Tianyi, Liang, Paul Pu +3 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- From Reproduction to Replication: Evaluating Research Agents with Progressive Code Masking
2025/06/24 by G.J. Kim, Alex Wilf, Kim, Gyeongwon James +5 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Model-Driven Software Engineering Techniques #Semantic Web and Ontologies #Software Engineering Research
- Factorized Multimodal Transformer for Multimodal Sequential Learning
2019/11/22 by Amir Zadeh, Zadeh, Amir, Chengfeng Mao +11 · 1 citation
Computer Science · #Speech and dialogue systems #Speech Recognition and Synthesis #Topic Modeling
- ONLY: One-Layer Intervention Sufficiently Mitigates Hallucinations in Large Vision-Language Models
2025/07/01 by Wan, Zifu, Zhang, Ce, Yong, Silong +6 · 2 citations
#Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- IoT-LM: Large Multisensory Language Models for the Internet of Things
2024/07/13 by Shentong Mo, Russ R. Salakhutdinov, Mo, Shentong +5 · 1 citation
Agricultural and Biological Sciences · Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Food Supply Chain Traceability #Machine Learning (cs.LG) #Multimedia (cs.MM) #Public Relations and Crisis Communication