Oceania
ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination Xihuai Wang
The significant difference between the deployment-time partners' distribution and the training partners' distribution determined by the
MMSite: A Multi-modal Framework for the Identification of Active Sites in Proteins Song Ouyang
MMSite is a two-stage ("First Align, Then Fuse") Understanding these sites is essential for elucidating enzyme mechanisms, designing inhibitors, and developing novel drugs. MNER, high-quality datasets for multi-modal active sites identification are less abundant.
Referring Human Pose and Mask Estimation in the Wild Bo Miao
This new task holds significant potential for human-centric applications such as assistive robotics and sports analysis.
Aligning Individual and Collective Objectives in Multi-Agent Cooperation
Among the research topics in multi-agent learning, mixed-motive cooperation is one of the most prominent challenges, primarily due to the mismatch between individual and collective goals.
Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts
Leveraging the model's outputs, specifically the logits, is a common approach to
Interpretable Image Classification with Adaptive Prototype-based Vision Transformers Chiyu Ma
In our model, a prototype consists of parts, which can deform over irregular geometries to create a better comparison between images.
Huge buzz but a big gamble: Battlefield 6 takes aim at Call of Duty
A new challenger has appeared. In the fiercely competitive world of video games, it's common for new contenders to fade away as quickly as they burst on to the scene. But Battlefield 6 is hoping to change that. It's the latest entry in a long-running military shooter series often framed as a grittier, more realistic answer to Call of Duty. The title's never quite managed to match its most famous rival in terms of sales or players, but there are signs the new installment could close the gap.