repoGitHubTrust 82 · PrimaryPublished yesterdayLive · yesterday
willxxy/awesome-mmps
Corpus of resources for multimodal machine learning with physiological signals (mmps).
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 50%HSEmotion Team at the 11th ABAW Challenge: Multi-Task Learning and Ambivalence/Hesitancy Video Recognition →
- PossiblePossibly related (embedding) · 48%SAGEAgent: A Self-Evolving Agent for Cost-Aware Modality Acquisition in Multimodal Survival Prediction →
- PossiblePossibly related (embedding) · 47%Introducing Gemma 4 12B: a unified, encoder-free multimodal model →
- PossiblePossibly related (embedding) · 47%Do We Really Need Multimodal Emotion Language Models Larger Than 1B Parameters? →
- PossiblePossibly related (embedding) · 46%TIP12 Validation of a Multimodal Artificial Intelligence Prognostic Model in Early-Stage HR+/HER2− Breast Cancer - CancerNetwork →
Implements
paperHSEmotion Team at the 11th ABAW Challenge: Multi-Task Learning and Ambivalence/Hesitancy Video RecognitionpaperSAGEAgent: A Self-Evolving Agent for Cost-Aware Modality Acquisition in Multimodal Survival PredictionpaperDo We Really Need Multimodal Emotion Language Models Larger Than 1B Parameters?
Covers
Related across the graph
paperSAGEAgent: A Self-Evolving Agent for Cost-Aware Modality Acquisition in Multimodal Survival PredictionpaperDo We Really Need Multimodal Emotion Language Models Larger Than 1B Parameters?newsTIP12 Validation of a Multimodal Artificial Intelligence Prognostic Model in Early-Stage HR+/HER2− Breast Cancer - CancerNetworkpaperHSEmotion Team at the 11th ABAW Challenge: Multi-Task Learning and Ambivalence/Hesitancy Video RecognitionnewsIntroducing Gemma 4 12B: a unified, encoder-free multimodal model