Andrew Ross

3 papers · 2018–2021 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird

Venues

AAAI (1) ICML (1) NeurIPS (1)

Top co-authors

Finale Doshi-velez (3) Weiwei Pan (1) Leo Celi (1) Isaac Lage (1) Samuel J Gershman (1) Been Kim (1)

Research topics

Machine Learning (3) Core Methods (3) Learning Types · Machine Learning (3) Artificial Intelligence (1) Deep Learning (1) Core AI (1) Learning Types · Deep Learning (1) Optimization & Theory (1)

Keywords

representation learning (1) metric learning (1) feature learning (1) ensemble learning (1) feature importance (1) model interpretability (1) hierarchical representation (1) covariate shift (1) generative model (1) model optimization (1) data manifold (1) ensemble diversity (1) hierarchical representation learning (1) model diversity (1) generative factor (1) hierarchical disentanglement (1) local extrapolation (1) user studies (1)

Papers

Benchmarks, Algorithms, and Metrics for Hierarchical Disentanglement ICML 2021 Ensembles of Locally Independent Prediction Models AAAI 2020 Human-in-the-Loop Interpretability Prior NeurIPS 2018