Alex Lu

2 papers · 2019–2026 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

Venues

ACL (1) NeurIPS (1)

Top co-authors

Micah Mok (1) Alan Moses (1) David Andrews (1) Wiebke Schormann (1) Marzyeh Ghassemi (1) Immanuel Abdi (1) Nicholas Lee (1) Gopala Anumanchipalli (1) Amy Lu (1) Akshat Gupta (1)

Research topics

Artificial Intelligence (2) Learning Paradigms (2) Computer Vision (1) Machine Learning (1) Analysis (1) Application Areas (1) Core AI (1) Core Methods (1) Learning Types (1)

Keywords

image classification (1) continual learning (1) catastrophic forgetting (1) domain generalization (1) transfer learning (1) self-supervised learning (1) covariate shift (1) gradient-free optimization (1) evolutionary strategy (1) large language model (1) microscopy image (1) microscopy imaging (1) out-of-sample generalization (1)

Papers

Evolutionary Strategies at Scale lead to Catastrophic Forgetting ACL 2026 The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiers NeurIPS 2019