Hardt, Moritz

Fairness through awareness

Dwork, C., Hardt, M., Pitassi, T., Reingold, O., & Zemel, R. (2012) · Proceedings of the 3rd Innovations in Theoretical Computer Science Conference

Ethics and Social Impacts of AIPrivacy-Preserving Technologies in Data

Cited by 3,501

Understanding deep learning requires rethinking generalization

Zhang, C., Bengio, S., Hardt, M., Recht, B., & Vinyals, O. (2016) · arXiv

Stochastic Gradient Optimization TechniquesNeural Networks and Applications

Cited by 2,838

Equality of Opportunity in Supervised Learning

Hardt, M., Price, E., & Srebro, N. (2016) · arXiv

Ethics and Social Impacts of AIPrivacy-Preserving Technologies in Data

Cited by 2,536

Understanding deep learning (still) requires rethinking generalization

Zhang, C., Bengio, S., Hardt, M., Recht, B., & Vinyals, O. (2021) · Communications of the ACM

Stochastic Gradient Optimization TechniquesNeural Networks and Applications

Cited by 2,400

Sanity Checks for Saliency Maps

Adebayo, J., Gilmer, J., Muelly, M., Goodfellow, I., Hardt, M., & Kim, B. (2018) · arXiv

Explainable Artificial Intelligence (XAI)Visual Attention and Saliency Detection

Cited by 1,294

Test-Time Training with Self-Supervision for Generalization under Distribution Shifts

Sun, Y., Wang, X., Liu, Z., Miller, J., Efros, A. A., & Hardt, M. (2019) · arXiv

Domain Adaptation and Few-Shot LearningData Stream Mining Techniques

Cited by 393

Avoiding Discrimination through Causal Reasoning

Kilbertus, N., Rojas-Carulla, M., Parascandolo, G., Hardt, M., Janzing, D., & Schölkopf, B. (2017) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 358

Measuring the predictability of life outcomes with a scientific mass collaboration

Salganik, M. J., Lundberg, I., Kindel, A. T., Ahearn, C. E., Al-Ghoneim, K., Almaatouq, A., Altschul, D. M., Brand, J. E., Carnegie, N. B., Compton, R. J., et al. (2020) · Proceedings of the National Academy of Sciences

Family Dynamics and RelationshipsOnline Learning and Analytics

Cited by 322

The reusable holdout: Preserving validity in adaptive data analysis

Dwork, C., Feldman, V., Hardt, M., Pitassi, T., Reingold, O., & Roth, A. (2015) · Science

Privacy-Preserving Technologies in DataStatistical Methods and Inference

Cited by 307

Generalization in Adaptive Data Analysis and Holdout Reuse

Dwork, C., Feldman, V., Hardt, M., Pitassi, T., Reingold, O., & Roth, A. (2015) · arXiv

Privacy-Preserving Technologies in DataStatistical Methods and Inference

Cited by 152

The Ladder: A Reliable Leaderboard for Machine Learning Competitions

Blum, A., & Hardt, M. (2015) · arXiv

Machine Learning and Data ClassificationAdvanced Bandit Algorithms Research

Cited by 92

Algorithmic Amplification of Politics on Twitter

Huszár, F., Ktena, S. I., O’Brien, C., Belli, L., Schlaikjer, A., & Hardt, M. (2022) · Proceedings of the National Academy of Sciences

Social Media and PoliticsMisinformation and Its Impacts

Cited by 65

Fairness Through Awareness

Dwork, C., Hardt, M., Pitassi, T., Reingold, O., & Zemel, R. (2011) · arXiv

Ethics and Social Impacts of AIPrivacy-Preserving Technologies in Data

Cited by 55

Questioning the Survey Responses of Large Language Models

Dominguez-Olmedo, R., Hardt, M., & Mendler-Dünner, C. (2024) · Advances in Neural Information Processing Systems 37

Survey Methodology and NonresponseTopic Modeling

Cited by 48

Questioning the Survey Responses of Large Language Models

Dominguez-Olmedo, R., Hardt, M., & Mendler-Dünner, C. (2023) · arXiv

Survey Methodology and NonresponseTopic Modeling

Cited by 48

Limits to scalable evaluation at the frontier: LLM as Judge won't beat twice the data

Dorner, F. E., Nastl, V. Y., & Hardt, M. (2024) · arXiv

Machine Learning and Data ClassificationMachine Learning and Algorithms

Cited by 31

Model Similarity Mitigates Test Set Overuse

Mania, H., Miller, J., Schmidt, L., Hardt, M., & Recht, B. (2019) · arXiv

Machine Learning and Data ClassificationStochastic Gradient Optimization Techniques

Cited by 11

Training on the Test Task Confounds Evaluation and Emergence

Dominguez-Olmedo, R., Dorner, F. E., & Hardt, M. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 9

ImageNot: A contrast with ImageNet preserves model rankings

Salaudeen, O., & Hardt, M. (2024) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 1

Don't Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget

Dorner, F. E., & Hardt, M. (2024) · arXiv

Machine Learning and Data ClassificationMachine Learning and Algorithms

Cited by 1