A survey on self-supervised learning: Algorithms, applications, and future trends

J Gui, T Chen, J Zhang, Q Cao, Z Sun… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Deep supervised learning algorithms typically require a large volume of labeled data to
achieve satisfactory performance. However, the process of collecting and labeling such data …

Transformers in computational visual media: A survey

Y Xu, H Wei, M Lin, Y Deng, K Sheng, M Zhang… - Computational Visual …, 2022 - Springer
Transformers, the dominant architecture for natural language processing, have also recently
attracted much attention from computational visual media researchers due to their capacity …

Openagi: When llm meets domain experts

Y Ge, W Hua, K Mei, J Tan, S Xu… - Advances in Neural …, 2023 - proceedings.neurips.cc
Human Intelligence (HI) excels at combining basic skills to solve complex tasks. This
capability is vital for Artificial Intelligence (AI) and should be embedded in comprehensive AI …

Sdedit: Guided image synthesis and editing with stochastic differential equations

C Meng, Y He, Y Song, J Song, J Wu, JY Zhu… - ar** autoencoder for deep image manipulation
T Park, JY Zhu, O Wang, J Lu… - Advances in …, 2020 - proceedings.neurips.cc
Deep generative models have become increasingly effective at producing realistic images
from randomly sampled seeds, but using such models for controllable manipulation of …