Scott Vasquez

2 papers · 2022–2022 · 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

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10) ❓ The Questioner

Venues

ACL (1) NeurIPS (1)

Top co-authors

Svitlana Volkova (1) Maria Glenski (1) Robin Cosbey (1) Tegan Emerson (1) Tim Doster (1) Scott Howland (1) Henry Kvinge (1) Megha Subramanian (1) Ellyn Ayton (1) Grayson Jorgenson (1)

Research topics

Deep Learning (2) Machine Learning (2) Learning Types · Deep Learning (2) Natural Language Processing (1) Architectures (1) Learning Types · Machine Learning (1) Models (1) Optimization & Theory · Machine Learning (1) Optimization & Theory · Deep Learning (1) Resources & Methods (1)

Keywords

zero-shot learning (1) data augmentation (1) deep neural network (1) foundation model (1) model scaling (1) scientific knowledge (1) large language model (1) invariance metric (1) equivariance metric (1) pretrained weight (1) equivariant layer (1) invariance measurement (1) equivariance measurement (1)

Papers

Foundation Models of Scientific Knowledge for Chemistry: Opportunities, Challenges and Lessons Learned ACL 2022 In What Ways Are Deep Neural Networks Invariant and How Should We Measure This? NeurIPS 2022