← Authors

Jennifer Dy

38 papers · 2010–2026 · 13 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (16) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (13) πŸƒ Academic Marathon (16) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ”¬ Deep Specialist (10) 🧬 Topic Evolution 🀝 Dynamic Duo (11) πŸ—ƒοΈ Keyword Collector (160) ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (38) πŸ”₯ Unstoppable (11)

Conferences

AISTATS (17) NIPS (7) ACML (2) ICLR (2) ICML (2) ACL (1) CVPR (1) ECCV (1) EMNLP (1) IJCAI (1) JMLR (1) MLHC (1) WACV (1)

Top co-authors

Stratis Ioannidis (11) Aria Masoomi (9) Zifeng Wang (8) Davin Hill (6) Deniz Erdogmus (5) Susan Ostmo (4) Yale Chang (4) Dana Brooks (3) Tomas Pfister (3) Guolong Su (3)

Keywords

alternating direction method of multiplier (4) mutual information (4) variational inference (3) continual learning (3) catastrophic forgetting (3) plackett-luce model (3) feature attribution (2) active learning (2) probabilistic model (2) multi-annotator learning (2) spectral algorithm (2) gaussian process (2) spectral clustering (2) nonparametric bayesian (2) dimensionality reduction (2) feature selection (2) black-box optimization (1) dirichlet process (1) adversarial robustness (1) iterative optimization (1)

Papers

SSplain: Sparse and Smooth Explainer for Retinopathy of Prematurity Classification WACV 2026
STAR: Stability-Inducing Weight Perturbation for Continual Learning ICLR 2025
Axiomatic Explainer Globalness via Optimal Transport AISTATS 2025
Linear-Time Demonstration Selection for In-Context Learning via Gradient Estimation EMNLP 2025
Boundary-Aware Uncertainty for Feature Attribution Explainers AISTATS 2024
Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions AISTATS 2024
DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning ICML 2023
SmoothHess: ReLU Network Feature Interactions via Stein's Lemma NIPS 2023
QueryForm: A Simple Zero-shot Form Entity Query Framework ACL 2023
Deep Layer-wise Networks Have Closed-Form Weights AISTATS 2022
SparCL: Sparse Continual Learning on the Edge NIPS 2022
Explanations of Black-Box Models based on Directional Feature Interactions ICLR 2022
DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning ECCV 2022
Learning To Prompt for Continual Learning CVPR 2022
Faster & More Reliable Tuning of Neural Networks: Bayesian Optimization with Importance Sampling AISTATS 2021
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness NIPS 2021
Rate-Regularization and Generalization in Variational Autoencoders AISTATS 2021
Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space NIPS 2021
Deep Spectral Ranking AISTATS 2021
Fast and Accurate Ranking Regression AISTATS 2020
Neural Topographic Factor Analysis for fMRI Data NIPS 2020
Instance-wise Feature Grouping NIPS 2020
Structured Disentangled Representations AISTATS 2019
Solving Interpretable Kernel Dimensionality Reduction NIPS 2019
ADMMBO: Bayesian Optimization with Unknown Constraints using ADMM JMLR 2019
Variational Inference from Ranked Samples with Features ACML 2019
Iterative Spectral Method for Alternative Clustering AISTATS 2018
Crowdclustering with Partition Labels AISTATS 2018
Experimental Design under the Bradley-Terry Model IJCAI 2018
Rate Optimal Estimation for High Dimensional Spatial Covariance Matrices ACML 2017
Clustering from Multiple Uncertain Experts AISTATS 2017
Multi-task Learning with Weak Class Labels: Leveraging iEEG to Detect Cortical Lesions in Cryptogenic Epilepsy MLHC 2016
A Robust-Equitable Copula Dependence Measure for Feature Selection AISTATS 2016
Nonparametric Mixture of Gaussian Processes with Constraints ICML 2013
A Nonparametric Bayesian Model for Multiple Clustering with Overlapping Feature Views AISTATS 2012
Active Learning from Multiple Knowledge Sources AISTATS 2012
Dimensionality Reduction for Spectral Clustering AISTATS 2011
Modeling annotator expertise: Learning when everybody knows a bit of something AISTATS 2010