Publisher
Springer Nature Switzerland
Reference65 articles.
1. Assran, M., et al.: Self-supervised learning from images with a joint-embedding predictive architecture. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 15619–15629 (2023)
2. Bear, D.M., et al.: Unifying (machine) vision via counterfactual world modeling. arXiv preprint arXiv:2306.01828 (2023)
3. Besiroglu, T., Bergerson, S.A., Michael, A., Heim, L., Luo, X., Thompson, N.: The compute divide in machine learning: a threat to academic contribution and scrutiny? arXiv preprint arXiv:2401.02452 (2024)
4. Buchanan, M.: The limits of machine prediction. Nat. Phys. 15(4), 304 (2019)
5. Chandran, K.S., Paul, A.M., Paul, A., Ghosh, K.: Psychophysics may be the game-changer for deep neural networks (DNNs) to imitate the human vision. Behav. Brain Sci. 46, e388 (2023)