EPFLiGHT / MultiModNLinks
MultiModN – Multimodal, Multi-Task, Interpretable Modular Networks (NeurIPS 2023)
☆34Updated 2 years ago
Alternatives and similar repositories for MultiModN
Users that are interested in MultiModN are comparing it to the libraries listed below
Sorting:
- Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records☆23Updated last year
- Code for the paper "ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction?"☆28Updated 4 months ago
- [NeurIPS 2023] Factorized Contrastive Learning: Going Beyond Multi-view Redundancy☆71Updated last year
- [ICLR 2023] MultiViz: Towards Visualizing and Understanding Multimodal Models☆97Updated last year
- Official Code for ICLR 2024 Paper: Non-negative Contrastive Learning☆46Updated last year
- An offical implementation of EHRDiff [TMLR]☆27Updated last year
- [NeurIPS 2023] Official repository for "Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models"☆12Updated last year
- Towards Understanding the Mixture-of-Experts Layer in Deep Learning☆31Updated last year
- [NeurIPS 2023, ICMI 2023] Quantifying & Modeling Multimodal Interactions☆82Updated 11 months ago
- [ICLR 2024 spotlight] Making Pre-trained Language Models Great on Tabular Prediction☆59Updated last year
- Code for the paper "Explain Any Concept: Segment Anything Meets Concept-Based Explanation". Poster @ NeurIPS 2023☆45Updated last year
- The code repository for ICML24 paper "Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images"☆21Updated 7 months ago
- DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language Models (NeurIPS 2024 D&B Track)☆22Updated 7 months ago
- Expert-level AI radiology report evaluator☆34Updated 6 months ago
- Symile is a flexible, architecture-agnostic contrastive loss that enables training modality-specific representations for any number of mo…☆41Updated 7 months ago
- [ACL 2024 Findings] This is the code for our paper "Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation wi…☆40Updated last year
- ☆17Updated last year
- A regression-alike loss to improve numerical reasoning in language models - ICML 2025☆26Updated 2 months ago
- ☆31Updated 11 months ago
- Official implementation of Vector-ICL: In-context Learning with Continuous Vector Representations (ICLR 2025)☆20Updated 4 months ago
- [ICML 2023] Official repository of paper: Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repe…☆25Updated 2 months ago
- Source codes of the paper "Hierarchical Pretraining on Multimodal Electronic Health Records".☆18Updated last year
- [NeurIPS 2024] RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models☆28Updated 11 months ago
- (ICML 2023) Discover and Cure: Concept-aware Mitigation of Spurious Correlation☆42Updated last year
- [ICCVW2023] Robust Asymmetric Loss for Multi-Label Long-Tailed Learning☆17Updated 2 years ago
- State Space Models☆70Updated last year
- [NeurIPS'24] Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization☆35Updated last year
- I2M2: Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning (NeurIPS 2024)☆22Updated 11 months ago
- [EMNLP 2025] Med-PRM: Medical Reasoning Models with Stepwise, Guideline-verified Process Rewards☆45Updated last month
- EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images, NeurIPS 2023 D&B☆85Updated last year