Prospective role of foundation models in advancing autonomous vehicles
J Wu, B Gao, J Gao, J Yu, H Chu, Q Yu, X Gong… - Research, 2024 - spj.science.org
With the development of artificial intelligence and breakthroughs in deep learning, large-
scale foundation models (FMs), such as generative pre-trained transformer (GPT), Sora, etc …
scale foundation models (FMs), such as generative pre-trained transformer (GPT), Sora, etc …
A Survey on Self-Supervised Pre-Training of Graph Foundation Models: A Knowledge-Based Perspective
Graph self-supervised learning is now a go-to method for pre-training graph foundation
models, including graph neural networks, graph transformers, and more recent large …
models, including graph neural networks, graph transformers, and more recent large …
T-JEPA: Augmentation-Free Self-Supervised Learning for Tabular Data
Self-supervision is often used for pre-training to foster performance on a downstream task by
constructing meaningful representations of samples. Self-supervised learning (SSL) …
constructing meaningful representations of samples. Self-supervised learning (SSL) …
Graphs, Geometry, and Learning Representations: Navigating the Non-Euclidean Landscape in Computer Vision and Beyond
G Skenderi - 2024 - iris.univr.it
Artificial Intelligence (AI) requires machines capable of learning and generalizing from data
without being explicitly programmed to do so, giving rise to the field of Machine Learning …
without being explicitly programmed to do so, giving rise to the field of Machine Learning …