6 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CV2026
Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery
Yuxun Qu, Minyu Zhou, Yongqiang Tang +2
Generalized Category Discovery (GCD) aims to classify old categories and discover new ones from unlabeled data. Recent multi-modal approaches introduce retrieved or synthesized tex…
cs.CV2024
AdaptGCD: Multi-Expert Adapter Tuning for Generalized Category Discovery
Yuxun Qu, Yongqiang Tang, Chenyang Zhang +1
Different from the traditional semi-supervised learning paradigm that is constrained by the close-world assumption, Generalized Category Discovery (GCD) presumes that the unlabeled…
cs.LG2021★ 6 cited
MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep Reinforcement Learning
Qiang He, Huangyuan Su, Chen Gong +1
During the training of a reinforcement learning (RL) agent, the distribution of training data is non-stationary as the agent's behavior changes over time. Therefore, there is a ris…