Greedy hierarchical variational autoencoders for large-scale video prediction

B Wu, S Nair, R Martin-Martin… - Proceedings of the …, 2021 - openaccess.thecvf.com
A video prediction model that generalizes to diverse scenes would enable intelligent agents
such as robots to perform a variety of tasks via planning with the model. However, while …

Brain-inspired computing: A systematic survey and future trends

G Li, L Deng, H Tang, G Pan, Y Tian… - Proceedings of the …, 2024 - ieeexplore.ieee.org
Brain-inspired computing (BIC) is an emerging research field that aims to build fundamental
theories, models, hardware architectures, and application systems toward more general …

LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models

H Li, Y Zhou, Z Zhao, S Du, J Yao, W **e… - arxiv preprint arxiv …, 2024 - arxiv.org
The widespread adoption of large-scale pre-training techniques has significantly advanced
the development of medical foundation models, enabling them to serve as versatile tools …

Comparative implementation of Greedy InfoMax and Slow Feature Analysis for self-supervised neural networks

M Roselló Oviedo - 2020 - riunet.upv.es
[ES] En los últimos años, los modelos supervisados con retropropagación de extremo a
extremo han dominado el paradigma del aprendizaje profundo. Sin embargo, se puede …