4 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 3 cited
PRODIGY: Enabling In-context Learning Over Graphs
Qian Huang, Hongyu Ren, Peng Chen +4
In-context learning is the ability of a pretrained model to adapt to novel and diverse downstream tasks by conditioning on prompt examples, without optimizing any parameters. While…
cs.LG2022★ 4 cited
Deep Causal Learning: Representation, Discovery and Inference
Zizhen Deng, Xiaolong Zheng, Hu Tian +1
Causal learning has garnered significant attention in recent years because it reveals the essential relationships that underpin phenomena and delineates the mechanisms by which the…
cs.CV2022★ 1 cited
Boosting Multi-Label Image Classification with Complementary Parallel Self-Distillation
Jiazhi Xu, Sheng Huang, Fengtao Zhou +3
Multi-Label Image Classification (MLIC) approaches usually exploit label correlations to achieve good performance. However, emphasizing correlation like co-occurrence may overlook…