4 papers
Teaching AI Agent to Play Poker Strategically Through Preference Optimization
Phurinat Polasa, Thanapon Thanadunpremdet, Phatthanasak Kraiduang +1
A poker agent can make a legal move and still make a strategically poor one. We ask whether compact AI agents can exhibit strategic behavior under hidden information and whether pr…
LINGO: Latent Initialization and Gradient Optimization for Sparse-view X-ray Novel View Synthesis and CT Reconstruction with 3D Gaussian Splatting
Lifeng Xing, Dequan Jin, Kunpeng Bu +2
In novel view synthesis and Computed Tomography (CT) reconstruction with sparse-view X-ray imaging, insufficient angular coverage leads to structural ambiguity and accumulated nois…
RoNFA: Robust Neural Field-based Approach for Few-Shot Image Classification with Noisy Labels
Nan Xiang, Lifeng Xing, Dequan Jin
In few-shot learning (FSL), the labeled samples are scarce. Thus, label errors can significantly reduce classification accuracy. Since label errors are inevitable in realistic lear…
ViTNF: Leveraging Neural Fields to Boost Vision Transformers in Generalized Category Discovery
Jiayi Su, Dequan Jin
Generalized category discovery (GCD) is a highly popular task in open-world recognition, aiming to identify unknown class samples using known class data. By leveraging pre-training…