2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Adjusting Pretrained Backbones for Performativity
Berker Demirel, Lingjing Kong, Kun Zhang +3
With the widespread deployment of deep learning models, they influence their environment in various ways. The induced distribution shifts can lead to unexpected performance degrada…
cs.LG2024★ 1 cited
Counterfactual Generation with Identifiability Guarantees
Hanqi Yan, Lingjing Kong, Lin Gui +4
Counterfactual generation lies at the core of various machine learning tasks, including image translation and controllable text generation. This generation process usually requires…
cs.LG2023★ 2 cited
Understanding Masked Autoencoders via Hierarchical Latent Variable Models
Lingjing Kong, Martin Q. Ma, Guangyi Chen +4
Masked autoencoder (MAE), a simple and effective self-supervised learning framework based on the reconstruction of masked image regions, has recently achieved prominent success in…