by instadatahelp | Sep 2, 2023 | AI Blogs
Connectivity Matters: Neural Network Pruning Through the Lens of Effective Sparsity Artem Vysogorets, Julia Kempe; 24(99):1−23, 2023. Abstract Neural network pruning is an area of research that has gained significant interest, particularly in high sparsity regimes. In...
![A Self-Adaptive Few-Shot 6D Pose Estimator for Novel and Occluded Objects: SA6D (arXiv:2308.16528v1 [cs.CV])](https://instadatanews.com/wp-content/uploads/2023/08/arxiv-logo-fb-1080x675.png)
by instadatahelp | Sep 2, 2023 | AI Blogs
In order to enable effective manipulation of objects by robots in real-world settings, accurate estimation of their 6D pose is crucial. However, many current approaches struggle to make accurate predictions when faced with new instances of objects and heavy...
by instadatahelp | Sep 2, 2023 | AI Blogs
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning Wenhao Li, Bo Jin, Xiangfeng Wang, Junchi Yan, Hongyuan Zha; 24(178):1−75, 2023. Abstract Traditional centralized multi-agent reinforcement learning (MARL)...
by instadatahelp | Sep 2, 2023 | AI Blogs
The limitations of graph neural networks (GNNs) are often caused by over-squashing and over-smoothing. Over-smoothing erases node differences, while over-squashing hinders information propagation over long distances. These issues stem from the graph structure itself....
by instadatahelp | Sep 2, 2023 | AI Blogs
Inference for Gaussian Processes with Matern Covariogram on Compact Riemannian Manifolds Authors: Didong Li, Wenpin Tang, Sudipto Banerjee; Volume 24(101):1−26, 2023. Abstract Gaussian processes are widely used as versatile modeling and predictive tools in spatial...
by instadatahelp | Sep 2, 2023 | AI Blogs
The field of science is currently facing a crisis in terms of reproducibility. One potential solution that has been proposed is the incorporation of data analysis replications into classrooms. However, the feasibility of this approach and what stakeholders can expect...
