Dave Palfrey

3 papers · 2018–2020 · 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 🐣 Hot Topic Early Bird

Venues

EMNLP (2) NAACL (1)

Top co-authors

Arpit Mittal (3) Christos Christodoulopoulos (1) Esma Balkir (1) Amit Gurdasani (1) Masha Naslidnyk (1) Joseph Fisher (1) Andrew Hopkinson (1)

Research topics

Machine Learning (3) Artificial Intelligence (2) Deep Learning (2) Core AI (2) Core Methods (2) Knowledge & Reasoning (1) Architectures (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Reasoning (1)

Keywords

link prediction (1) adversarial learning (1) knowledge base (1) relation prediction (1) bilinear model (1) knowledge graph embedding (1) bias mitigation (1) knowledge graph completion (1) social bia (1) negative sampling (1) gender bia (1) neural network (1) completeness prediction (1) entity-relation pair (1)

Papers

Debiasing knowledge graph embeddings EMNLP 2020 Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets EMNLP 2019 Demand-Weighted Completeness Prediction for a Knowledge Base NAACL 2018