Wattenberg, Martin

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Abadi, M., Agarwal, A., Barham, P., Brevdo, E., Chen, Z., Citro, C., Corrado, G. S., Davis, A., Dean, J., Devin, M., et al. (2016) · arXiv

Parallel Computing and Optimization TechniquesCloud Computing and Resource Management

Cited by 9,408

SmoothGrad: removing noise by adding noise

Smilkov, D., Thorat, N., Kim, B., Viégas, F., & Wattenberg, M. (2017) · arXiv

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 1,467

Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)

Kim, B., Wattenberg, M., Gilmer, J., Cai, C., Wexler, J., Viegas, F., & Sayres, R. (2017) · arXiv

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 1,240

How to use t-SNE effectively

Wattenberg, M., Viégas, F., & Johnson, I. (2016) · Distill

Technical Engine Diagnostics and MonitoringFault Detection and Control Systems

Cited by 854

Human-Centered Tools for Coping with Imperfect Algorithms During Medical Decision-Making

Cai, C. J., Reif, E., Hegde, N., Hipp, J., Kim, B., Smilkov, D., Wattenberg, M., Viegas, F., Corrado, G. S., Stumpe, M. C., et al. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

Artificial Intelligence in Healthcare and EducationExplainable Artificial Intelligence (XAI)

Cited by 405

Open Problems in Mechanistic Interpretability

Sharkey, L., Chughtai, B., Batson, J., Lindsey, J., Wu, J., Bushnaq, L., Goldowsky-Dill, N., Heimersheim, S., Ortega, A., Bloom, J., et al. (2025) · arXiv

Explainable Artificial Intelligence (XAI)Neural Networks and Applications

Cited by 291

The Hidden Order of Wikipedia

Viégas, F. B., Wattenberg, M., & McKeon, M. M. (2007) · Lecture Notes in Computer Science

Wikis in Education and CollaborationOpen Source Software Innovations

Cited by 195

Inference-Time Intervention: Eliciting Truthful Answers from a Language Model

Li, K., Patel, O., Viégas, F., Pfister, H., & Wattenberg, M. (2023) · arXiv

Deception detection and forensic psychologyTopic Modeling

Cited by 184

Acquisition of chess knowledge in AlphaZero

McGrath, T., Kapishnikov, A., Tomašev, N., Pearce, A., Wattenberg, M., Hassabis, D., Kim, B., Paquet, U., & Kramnik, V. (2022) · Proceedings of the National Academy of Sciences

Artificial Intelligence in GamesArtificial Intelligence Applications

Cited by 166

ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis Testing

Arawjo, I., Swoopes, C., Vaithilingam, P., Wattenberg, M., & Glassman, E. (2023) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 146

Inference-Time Intervention: Eliciting Truthful Answers from a Language Model

Li, K., Patel, O., Viégas, F., Pfister, H., & Wattenberg, M. (2023) · Advances in Neural Information Processing Systems 36

Deception detection and forensic psychologyTopic Modeling

Cited by 117

An Interpretability Illusion for BERT

Bolukbasi, T., Pearce, A., Yuan, A., Coenen, A., Reif, E., Viégas, F., & Wattenberg, M. (2021) · arXiv

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 113

Linearity of Relation Decoding in Transformer Language Models

Hernandez, E., Sharma, A. S., Haklay, T., Meng, K., Wattenberg, M., Andreas, J., Belinkov, Y., & Bau, D. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 98

Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task

Li, K., Hopkins, A. K., Bau, D., Viégas, F., Pfister, H., & Wattenberg, M. (2022) · arXiv

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Games

Cited by 61

Emergent Linear Representations in World Models of Self-Supervised Sequence Models

Nanda, N., Lee, A., & Wattenberg, M. (2023) · Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Games

Cited by 55

Emergent Linear Representations in World Models of Self-Supervised Sequence Models

Nanda, N., Lee, A., & Wattenberg, M. (2023) · arXiv

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Games

Cited by 55

Toy Models of Superposition

Elhage, N., Hume, T., Olsson, C., Schiefer, N., Henighan, T., Kravec, S., Hatfield-Dodds, Z., Lasenby, R., Drain, D., Chen, C., et al. (2022) · arXiv

Neural Networks and ApplicationsAdvanced Neural Network Applications

Cited by 51

Interactive AI Alignment: Specification, Process, and Evaluation Alignment

Terry, M., Kulkarni, C., Wattenberg, M., Dixon, L., & Morris, M. R. (2023) · arXiv

Usability and User Interface DesignEthics and Social Impacts of AI

Cited by 20