trainable parameters
- A data and task-constrained mechanistic model of the mouse outer retina shows robustness to contrast variations
- AdaMSS: Adaptive Multi-Subspace Approach for Parameter-Efficient Fine-Tuning
- BioOSS: A Bio-Inspired Oscillatory State System with Spatio-Temporal Dynamics
- Dependency Parsing is More Parameter-Efficient with Normalization
- Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer
- GeRaF: Neural Geometry Reconstruction from Radio Frequency Signals
- Magical: Medical Lay Language Generation via Semantic Invariance and Layperson-tailored Adaptation
- Multivariate Time Series Anomaly Detection with Idempotent Reconstruction
- Parameter Efficient Fine-tuning via Explained Variance Adaptation
- The Quest for Universal Master Key Filters in DS-CNNs