by instadatahelp | Sep 3, 2023 | AI Blogs
In the fast-paced digital age, the analysis of document layouts is crucial for automated information extraction and interpretation. Our research focuses on training the MViTv2 transformer model architecture with cascaded mask R-CNN on the BaDLAD dataset. This allows...
by instadatahelp | Sep 3, 2023 | AI Blogs
Model-Based Multi-Agent Reinforcement Learning in Zero-Sum Markov Games with Near-Optimal Sample Complexity Kaiqing Zhang, Sham M. Kakade, Tamer Basar, Lin F. Yang; 24(175):1−53, 2023. Abstract Model-based reinforcement learning (RL) is a fundamental approach in RL...
by instadatahelp | Sep 3, 2023 | AI Blogs
Mobile devices have become the most widely used technology, but they are also vulnerable to botnet-related malware. One example is FluBot, a botnet malware that specifically targets mobile devices. FluBot uses Domain Generation Algorithms (DGA) to communicate with its...
by instadatahelp | Sep 3, 2023 | AI Blogs
Statistical Inference for Noisy Incomplete Binary Matrix Authors: Yunxiao Chen, Chengcheng Li, Jing Ouyang, Gongjun Xu; Volume 24, Issue 95, Pages 1-66, 2023. Abstract This paper focuses on statistical inference for noisy incomplete binary (or 1-bit) matrices. While...
by instadatahelp | Sep 3, 2023 | AI Blogs
The content can be rewritten as: arXivLabs is a platform where collaborators can create and share new features for arXiv directly on our website. Both individuals and organizations that collaborate with arXivLabs have embraced and adopted our values of openness,...
by instadatahelp | Sep 3, 2023 | AI Blogs
Evaluating Instrument Validity using the Principle of Independent Mechanisms Patrick F. Burauel; 24(176):1−56, 2023. Abstract The validity of instrumental variables for estimating causal effects is often controversial and typically justified through narratives....
by instadatahelp | Sep 3, 2023 | AI Blogs
arXivLabs is a platform that enables collaborators to create and share new features for arXiv directly on our website. Both individuals and organizations that collaborate with arXivLabs share our core values of openness, community, excellence, and user data privacy....
by instadatahelp | Sep 3, 2023 | AI Blogs
Fitting Autoregressive Graph Generative Models through Maximum Likelihood Estimation Xu Han, Xiaohui Chen, Francisco J. R. Ruiz, Li-Ping Liu; 24(97):1−30, 2023. Abstract The objective of this study is to address the problem of fitting autoregressive graph generative...
by instadatahelp | Sep 2, 2023 | AI Blogs
[Submitted on 31 Aug 2023] Click here to download a PDF of the paper titled “On a Connection between Differential Games, Optimal Control, and Energy-based Models for Multi-Agent Interactions” by Christopher Diehl, Tobias Klosek, Martin Krüger, Nils Murzyn,...
by instadatahelp | Sep 2, 2023 | AI Blogs
Evaluation of Algorithm Portfolios using Item Response Theory Authors: Sevvandi Kandanaarachchi, Kate Smith-Miles; Published in Journal of Machine Learning Research, Volume 24, Issue 177, 2023. Abstract Item Response Theory (IRT) is a method used in Educational...
