影响力指数
论文质量、代表作、近期表现、广度与样本量置信度综合计算
21.07/100
前 39%
全站排名 #25,109
发表论文6 篇
平均评分
年均产出2.0 篇/年
Thomas Seidl
研究方向
active learning · limited labels learning · process mining · stream data mining · clustering · unsupervised learning
10
Human Uncertainty-Aware Data Selection and Automatic Labeling in Visual Question Answering
ICLR 2026Poster
通讯16
ExDBSCAN: Explaining DBSCAN with Counterfactual Reasoning
ICLR 2026Rejected
10
My Answer Is NOT 'Fair': Mitigating Gender and Race Bias in Vision-Language Models via Fair and Biased Residuals
ICLR 2026Rejected
通讯