Multimodal Learning Publications

Publications in Multimodal Learning

Explore the most influential research papers and scholarly works that have shaped Multimodal Learning. Use the concept filter below to focus on a specific sub-area of research.

Multimodal Learning

3.8K

Publications

261.5K

Citations

Showing yearly statistics from 2000-2026.

Page 1

	Year	Citations
Representation Learning with Contrastive Predictive Coding Aäron van den Oord, Yazhe Li, Oriol Vinyals arXiv (Cornell University) Artificial IntelligenceStructured PredictionGeometric LearningEngineeringMachine Learning	2018	4.5K
Multimodal Machine Learning: A Survey and Taxonomy Tadas Baltrušaitis, Chaitanya Ahuja, Louis–Philippe Morency IEEE Transactions on Pattern Analysis and Machine Intelligence Artificial IntelligenceMultimodal MachineMultiple ModalitiesMachine LearningData Science	2018	3.8K
Representation Learning with Contrastive Predictive Coding Aäron van den Oord, Yazhe Li, Oriol Vinyals arXiv (Cornell University) Artificial IntelligenceStructured PredictionGeometric LearningEngineeringMachine Learning	2018	3.8K
Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition Francisco Ordóñez, Daniel Roggen Sensors Wearable SystemConvolutional Neural NetworkEngineeringMachine LearningWearable Technology	2016	2.5K
An Overview of Multi-Task Learning in Deep Neural Networks Sebastian Ruder arXiv (Cornell University) Artificial IntelligenceConvolutional Neural NetworkDeep Neural NetworksEngineeringMachine Learning	2017	2.4K
LXMERT: Learning Cross-Modality Encoder Representations from Transformers Hao Tan, Mohit Bansal EngineeringMachine LearningAutoencodersMultimodal LearningLanguage Processing	2019	2.2K
Improved Baselines with Momentum Contrastive Learning Xinlei Chen, Haoqi Fan, Ross Girshick, arXiv (Cornell University) Artificial IntelligenceStructured PredictionEngineeringMachine LearningSequential Learning	2020	2.1K
Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models Ryan Kiros, Ruslan Salakhutdinov, Richard S. Zemel arXiv (Cornell University) Natural Language ProcessingMultimodal LlmImage AnalysisMachine LearningData Science	2014	1.3K
Flamingo: a Visual Language Model for Few-Shot Learning Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, arXiv (Cornell University) Artificial IntelligenceFew-shot LearningNatural Language ProcessingBuilding ModelsEngineering	2022	1.2K
SwinFusion: Cross-domain Long-range Learning for General Image Fusion via Swin Transformer Jiayi Ma, Linfeng Tang, Fan Fan, IEEE/CAA Journal of Automatica Sinica General Image FusionCross-domain Long-range LearningEngineeringMachine LearningMultimodal Learning	2022	1.1K
Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph AmirAli Bagher Zadeh, Paul Pu Liang, Soujanya Poria, Louis-philippe MorencyMachine LearningEngineeringMultimodal LearningMathematical Linguistics	2018	1.1K
End-To-End Multi-Task Learning With Attention Shikun Liu, Edward Johns, Andrew J. Davison Few-shot LearningStructured PredictionConvolutional Neural NetworkEngineeringMachine Learning	2019	1.1K

Page 1