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
-/100
发表论文2 篇
平均评分
年均产出2.0 篇/年
AI 学术分析
Tom Julian Viering
研究方向
Prior-Data Fitted Network (PFN) · Transformers · Tabular data · Learning curves · Statistical learning theory · Deep generative models · Non-monotonicity of learning · Meta Learning · Domain adaptation · Online learning · Semi-supervised learning · Interpretable machine learning · Active learning