Technology
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
Trans-LoRA: towards data-free Transferable Parameter Efficient Finetuning Runqian W ang
Such re-training requires access to the data used to train the LoRA for the original base model.
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.
Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning
Exploring unknown environments efficiently is a fundamental challenge in unsupervised goal-conditioned reinforcement learning.
AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs Adam D. Cobb
Datasets of complex cyber-physical systems (CPS) are difficult to build and large CPS datasets are not publicly available.