#transfer learning
24 papers match
Strategy, Not Payoffs: A Behavioural Embedding of Normal-Form Games
Joshua Caiata, Sreepriya Pulyassary, Xiang Li +1
The paper introduces a lightweight behavioural embedding for normal-form games, using Nash equilibrium entropy and response sensitivity, to predict how fine‑tuning large language m…
Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors
Neelam Akula, Surbhi Kumar, Murat Kantarcioglu +1
The paper defines a clean evaluation protocol for transferring knowledge between node classification and link prediction on the same graph, shows that transfer is directionally dep…
PerturbMap: Cross-Context Transfer of Single-Cell Perturbation Responses
Panpan Cui, Yiqi Liu, Wenhao Sun
PerturbMap predicts missing single‑cell perturbation effects in a new cellular context by combining a low‑rank local model with ridge‑based transfer of measured responses from sour…
Quantum machine learning interatomic potential: Application of variational quantum algorithm
Kohei Numata, Wataru Mizukami, Kosuke Mitarai +2
The paper integrates a variational quantum circuit into a classical neural network for interatomic potentials, retraining the ANI model via quantum transfer learning and showing mo…
Beyond Classification: Pathology Foundation Models as Detection Encoders for Mitotic Figures
Sweta Banerjee, Alireza Teimoury, Nils Porsche +11
The paper evaluates whether pathology foundation models can serve as effective backbones for dense detection of mitotic figures, comparing several self‑supervised models to a ResNe…
Interpretable Image-Level Acne Severity Grading via EfficientNet-B0 Transfer Learning and Grad-CAM
Sophie Zeng, Sean Kalaycioglu, Collin Hong +1
The paper introduces a four‑class acne severity grading model that uses transfer learning with an EfficientNet‑B0 backbone and Grad‑CAM visualizations to achieve high accuracy and…