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
49.4/100
前 8.9%
全站排名 #5,719
发表论文6 篇
平均评分
年均产出2.0 篇/年
Jennifer Dy
研究方向
continual learning · interpretability · explainable AI · probabilistic models · clustering · feature selection · dimensionality reduction · mixture models · latent variable models · Bayesian nonparametric · SVM · kernel methods
23
H-SPLID: HSIC-based Saliency Preserving Latent Information Decomposition
NeurIPS 2025Poster
17
OrdShap: Feature Position Importance for Sequential Black-Box Models
NeurIPS 2025Poster
通讯23
DISCO: Disentangled Communication Steering for Large Language Models
NeurIPS 2025Poster
通讯21
STAR: Stability-Inducing Weight Perturbation for Continual Learning
ICLR 2025Poster
通讯