conftrace_
← Models
Deep Learning › Models ›

Foundation Models

278 papers

Papers per year

5
13
23
104
117
16

Papers

Foundation Model Ensemble for Out-of-Distribution Generalization: Predicting Lymph Node Metastasis in Early Gastric Cancer Using Whole-Slide Imaging MIDL 2025
Beyond the Prompt: Deploying Medical Foundation Models on Diverse Chest X-ray Populations MIDL 2025
Segment Anything for Histopathology MIDL 2025
Scaling Supervision for Free: Leveraging Universal Segmentation Models for Enhanced Medical Image Diagnosis MIDL 2025
Zero-shot capability of 2D SAM-family models for bone segmentation in CT scans MIDL 2025
Empirical Analysis of Scaling Vision Foundation Models for Chest X-rays MIDL 2025
Biologically-Constrained Multi-Label Classification with Learnable Domain Knowledge MIDL 2025
Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging MIDL 2025
Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving NIPS 2024
CLIPCEIL: Domain Generalization through CLIP via Channel rEfinement and Image-text aLignment NIPS 2024
Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning NIPS 2024
Cell ontology guided transcriptome foundation model NIPS 2024
Vision Foundation Model Enables Generalizable Object Pose Estimation NIPS 2024
A Simple yet Universal Framework for Depth Completion NIPS 2024
Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking NIPS 2024
Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method NIPS 2024
Predicting the Performance of Foundation Models via Agreement-on-the-Line NIPS 2024
MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens NIPS 2024
Interfacing Foundation Models' Embeddings NIPS 2024
WikiDBs: A Large-Scale Corpus Of Relational Databases From Wikidata NIPS 2024
HEMM: Holistic Evaluation of Multimodal Foundation Models NIPS 2024
Beyond Accuracy: Ensuring Correct Predictions With Correct Rationales NIPS 2024
ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction NIPS 2024
II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models NIPS 2024
Exploring Molecular Pretraining Model at Scale NIPS 2024