Foundation Models Publications

Publications in Foundation Models

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

Foundation Models

542

Publications

56.7K

Citations

Showing yearly statistics from 2000-2026.

Page 1

	Year	Citations
Segment Anything Alexander M. Kirillov, Eric Mintun, Nikhila Ravi, Scene AnalysisMachine VisionImage AnalysisData ScienceMachine Learning	2023	7.8K
LLaMA: Open and Efficient Foundation Language Models Hugo Touvron, Thibaut Lavril, Gautier Izacard, arXiv (Cornell University) Llm Fine-tuningEngineeringMachine LearningLarge Language ModelLarge Language Models	2023	3.8K
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar, Peyton Greenside, Anshul Kundaje arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningNeural Networks (Machine Learning)Neural Network	2017	2.4K
On the Opportunities and Risks of Foundation Models Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningAi FoundationAi Safety	2021	2.1K
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing Robert Tinn, Hao Cheng, Michael Lucas, ACM Transactions on Computing for Healthcare Llm Fine-tuningEngineeringMachine LearningPo TaggingMultilingual Pretraining	2021	1.9K
Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images Deng-Ping Fan, Tao Zhou, Ge-Peng Ji, IEEE Transactions on Medical Imaging Convolutional Neural NetworkMedical Image SegmentationEngineeringMachine LearningCovid-19	2020	1.2K
Applications of Machine Learning in Cancer Prediction and Prognosis Joseph A. Cruz, David S. Wishart Cancer Informatics Artificial IntelligenceEngineeringMachine LearningComputational MedicineBiomedical Artificial Intelligence	2006	1.1K
DINOv2: Learning Robust Visual Features without Supervision Maxime Oquab, Timothée Darcet, Théo Moutakanni, arXiv (Cornell University) EngineeringMachine LearningRobust FeatureNatural Language ProcessingMultimodal Llm	2023	1K
COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images Ezz El‐Din Hemdan, Marwa A. Shouman, Mohamed Esmail Karar arXiv (Cornell University) World Health OrganizationMedical Image SegmentationEngineeringMachine LearningConvolutional Neural Network	2020	972
Mamba: Linear-Time Sequence Modeling with Selective State Spaces Albert Gu, Tri Dao arXiv (Cornell University) EngineeringMachine LearningRecurrent ModelsRecurrent Neural NetworkNatural Language Processing	2023	954
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions Wenhai Wang, Jifeng Dai, Zhe Chen, Convolutional Neural NetworkEngineeringMachine LearningLarge-scale Vision TransformersLarge Dense Kernels	2023	819
Medical image segmentation using deep learning: A survey Risheng Wang, Tao Lei, Ruixia Cui, IET Image Processing Convolutional Neural NetworkMedical Image SegmentationEngineeringMachine LearningBiomedical Artificial Intelligence	2022	716

Page 1