Johannes Welbl
Google (United States)(US)Google DeepMind (United Kingdom)(GB)Google (United Kingdom)(GB)
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Advanced Graph Neural Networks, Adversarial Robustness in Machine Learning, Neural Networks and Applications
Most-Cited Works
- → Complex Embeddings for Simple Link Prediction(2016)1,127 cited
- → Training Compute-Optimal Large Language Models(2022)651 cited
- → QAngaroo (MedHop + WikiHop) - Constructing Datasets for Multi-hop Reading Comprehension Across Documents(2018)484 cited
- → Scaling Language Models: Methods, Analysis & Insights from Training Gopher(2021)242 cited
- → Knowledge graph completion via complex tensor factorization(2017)207 cited
- → Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation(2019)122 cited
- → Reducing Sentiment Bias in Language Models via Counterfactual Evaluation(2020)119 cited