Asia
Unsupervised Homography Estimation on Multimodal Image Pair via Alternating Optimization
In response, unsupervised learning approaches have emerged.
DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework
Distributionally Robust Optimization (DRO) enhances model performance by optimizing it for the local worst-case scenario, but directly integrating AUC optimization with DRO results in an intractable optimization problem.
Real-Time Selection Under General Constraints via Predictive Inference
Real-time decision-making gets more attention in the big data era.
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization Yao Ni
To address such an issue, we propose P ACE, marrying generalization of P Arameter-efficient fine-tuning with Consistency rEgularization.
DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening Bowen Gao
Following this thought, we recast virtual screening as an information retrieval task, i.e., given a
Spec-Gaussian: Anisotropic View-Dependent Appearance for 3D Gaussian Splatting Ziyi Y ang
The recent advancements in 3D Gaussian splatting (3D-GS) have not only facilitated real-time rendering through modern GPU rasterization pipelines but have also attained state-of-the-art rendering quality.
