Summary of Human-like Geometric Abstraction in Large Pre-trained Neural Networks, by Declan Campbell et al.
Human-Like Geometric Abstraction in Large Pre-trained Neural Networksby Declan Campbell, Sreejan Kumar, Tyler Giallanza, Thomas…
Human-Like Geometric Abstraction in Large Pre-trained Neural Networksby Declan Campbell, Sreejan Kumar, Tyler Giallanza, Thomas…
torchmSAT: A GPU-Accelerated Approximation To The Maximum Satisfiability Problemby Abdelrahman Hosny, Sherief RedaFirst submitted to…
EMBRE: Entity-aware Masking for Biomedical Relation Extractionby Mingjie Li, Karin VerspoorFirst submitted to arxiv on:…
Grounded learning for compositional vector semanticsby Martha LewisFirst submitted to arxiv on: 10 Jan 2024CategoriesMain:…
Vehicle: Bridging the Embedding Gap in the Verification of Neuro-Symbolic Programsby Matthew L. Daggitt, Wen…
Enhancing Source Code Classification Effectiveness via Prompt Learning Incorporating Knowledge Featuresby Yong Ma, Senlin Luo,…
Image classification network enhancement methods based on knowledge injectionby Yishuang Tian, Ning Wang, Liang ZhangFirst…
Let’s Go Shopping (LGS) – Web-Scale Image-Text Dataset for Visual Concept Understandingby Yatong Bai, Utsav…
XXAI: Towards eXplicitly eXplainable Artificial Intelligenceby V. L. Kalmykov, L.V. KalmykovFirst submitted to arxiv on:…
Real Time Human Detection by Unmanned Aerial Vehiclesby Walid Guettala, Ali Sayah, Laid Kahloul, Ahmed…