Technology
CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement
To address the above issues, we propose CrossGNN, a linear complexity GNN model to refine the cross-scale and cross-variable interaction for MTS. To deal with the unexpected noise in time dimension, an adaptive multi-scale identifier (AMSI) is leveraged to construct multi-scale time series with reduced noise.
DiPlomat: A Dialogue Dataset for Situated Pragmatic Reasoning Hengli Li
Along with the dataset, two tasks are proposed to evaluate machines'
1 Hosting Licensing and Maintenance Plan
The dataset will be available for a minimum of five years, with no plans for removal. We will ensure ongoing maintenance to verify and maintain data accessibility. For what purpose was the dataset created? Was there a specific task in mind? Who created the dataset (e.g., which team, research group) and on behalf of which Who funded the creation of the dataset?
Map It Anywhere (MIA): Empowering Bird's Eye View Mapping using Large-scale Public Data
Top-down Bird's Eye View (BEV) maps are a popular perceptual representation for ground robot navigation due to their richness and flexibility for downstream
Flipping-based Policy for Chance-Constrained Markov Decision Processes
Safe reinforcement learning (RL) is a promising approach for many real-world decision-making problems where ensuring safety is a critical necessity.