Proactive Pseudo-Intervention: Causally Informed Contrastive Learning For Interpretable Vision Models
By Dong Wang, Yuewei Yang, Chenyang Tao, Fanjie Kong, Ricardo Henao, Lawrence Carin. 2020
17 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Rui Wang
- Tong Yu
- Handong Zhao
- Sungchul Kim
- S. Mitra
- Ruiyi Zhang
- Ricardo Henao
- Chunyuan Li
Citations in the corpus
- Few-Shot Class-Incremental Learning for Named Entity Recognition (2022, methodology): “Following the current state-of-the-art approach of NER distillation (Wang et al., 2020b), we approximate the sequence-level output distribution of CRF with only its top S predictions.”