research
∙
06/05/2023
Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation
In real-world scenarios, the application of reinforcement learning is si...
share
research
∙
10/01/2022
Learnable Distribution Calibration for Few-Shot Class-Incremental Learning
Few-shot class-incremental learning (FSCIL) faces challenges of memorizi...
research
∙
04/06/2021
Learnable Expansion-and-Compression Network for Few-shot Class-Incremental Learning
Few-shot class-incremental learning (FSCIL), which targets at continuous...
research
∙
03/08/2021
Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detection
Few-shot object detection has made substantial progressby representing n...
research
∙
08/10/2020