Freeze, Diffuse, Decode: Task-Aware Adaptation of Transformer Embeddings for Antimicrobial Peptide Design
cs.LG
Submitted: 2025-11-28
Updated: 2026-09-02
Terminology
Sources
- The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning
- Random Forest Autoencoders for Guided Representation Learning
- Neural Ordinary Differential Equations
- ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction
- Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
- Enhancing Molecular Property Prediction with Auxiliary Learning and Task-Specific Adaptation
- A Strong Baseline for Molecular Few-Shot Learning
- Synergistic Benefits of Joint Molecule Generation and Property Prediction
- Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution
- Optimal Transport losses and Sinkhorn algorithm with general convex regularization
- Benchmarking Pretrained Molecular Embedding Models For Molecular Representation Learning
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