11 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Causal Interpretation of Neural Network Computations with Contribution Decomposition
Joshua Brendan Melander, Zaki Alaoui, Shenghua Liu +2
Understanding how neural networks transform inputs into outputs is crucial for interpreting and manipulating their behavior. Most existing approaches analyze internal representatio…
cs.CV2023★ 11 cited
Swin MAE: Masked Autoencoders for Small Datasets
Zi'an Xu, Yin Dai, Fayu Liu +5
The development of deep learning models in medical image analysis is majorly limited by the lack of large-sized and well-annotated datasets. Unsupervised learning does not require…
cs.LG2018
Discovering Influential Factors in Variational Autoencoders
Shiqi Liu, Jingxin Liu, Qian Zhao +5
In the field of machine learning, it is still a critical issue to identify and supervise the learned representation without manually intervening or intuition assistance to extract…