Prototypes-oriented Transductive Few-shot Learning with Conditional Transport

no code implementations • ICCV 2023 • Long Tian, Jingyi Feng, Wenchao Chen, Xiaoqiang Chai, Liming Wang, Xiyang Liu, Bo Chen

Transductive Few-Shot Learning (TFSL) has recently attracted increasing attention since it typically outperforms its inductive peer by leveraging statistics of query samples.

Few-Shot Learning

Grid-SD2E: A General Grid-Feedback in a System for Cognitive Learning

no code implementations • 4 Apr 2023 • Jingyi Feng, Chenming Zhang

Comprehending how the brain interacts with the external world through generated neural data is crucial for determining its working mechanism, treating brain diseases, and understanding intelligence.

ViF-SD2E: A Robust Weakly-Supervised Method for Neural Decoding

no code implementations • 2 Dec 2021 • Jingyi Feng, Yong Luo, Shuang Song

Neural decoding plays a vital role in the interaction between the brain and the outside world.