Burda, Yuri

Evaluating Large Language Models Trained on Code

Chen, M., Tworek, J., Jun, H., Yuan, Q., Pinto, H. P. D. O., Kaplan, J., Edwards, H., Burda, Y., Joseph, N., Brockman, G., et al. (2021) · arXiv

Software Engineering ResearchNatural Language Processing Techniques

Cited by 1,436

Importance Weighted Autoencoders

Burda, Y., Grosse, R., & Salakhutdinov, R. (2015) · arXiv

Gaussian Processes and Bayesian InferenceTopic Modeling

Cited by 644

Exploration by Random Network Distillation

Burda, Y., Edwards, H., Storkey, A., & Klimov, O. (2018) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 527

Large-Scale Study of Curiosity-Driven Learning

Burda, Y., Edwards, H., Pathak, D., Storkey, A., Darrell, T., & Efros, A. A. (2018) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 401

Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets

Power, A., Burda, Y., Edwards, H., Babuschkin, I., & Misra, V. (2022) · arXiv

Domain Adaptation and Few-Shot LearningStochastic Gradient Optimization Techniques

Cited by 83

Prover-Verifier Games improve legibility of LLM outputs

Kirchner, J. H., Chen, Y., Edwards, H., Leike, J., McAleese, N., & Burda, Y. (2024) · arXiv

Adversarial Robustness in Machine LearningExplainable Artificial Intelligence (XAI)

Cited by 2