| Understanding the role of human intuition on reliance in human-AI decision-making with explanations V Chen, QV Liao, J Wortman Vaughan, G Bansal Proceedings of the ACM on Human-Computer Interaction 7 (CSCW2), 1-32, 2023 | 102 | 2023 |
| Secure Computation for Machine Learning With SPDZ V Chen, V Pastro, M Raykova arXiv preprint arXiv:1901.00329, 2019 | 82 | 2019 |
| Interpretable machine learning: Moving from mythos to diagnostics V Chen, J Li, JS Kim, G Plumb, A Talwalkar Communications of the ACM 65 (8), 43-50, 2022 | 64 | 2022 |
| Do llms exhibit human-like response biases? a case study in survey design L Tjuatja, V Chen, T Wu, A Talwalkwar, G Neubig Transactions of the Association for Computational Linguistics 12, 1011-1026, 2024 | 55 | 2024 |
| Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning V Chen, A Gupta, K Marino arXiv preprint arXiv:2011.00517, 2020 | 43 | 2020 |
| Use-case-grounded simulations for explanation evaluation V Chen, N Johnson, N Topin, G Plumb, A Talwalkar Advances in neural information processing systems 35, 1764-1775, 2022 | 22 | 2022 |
| On the importance of application-grounded experimental design for evaluating explainable ml methods K Amarasinghe, KT Rodolfa, S Jesus, V Chen, V Balayan, P Saleiro, ... Proceedings of the AAAI Conference on Artificial Intelligence 38 (19), 20921 …, 2024 | 18 | 2024 |
| Best practices for interpretable machine learning in computational biology V Chen, M Yang, W Cui, JS Kim, A Talwalkar, J Ma Biorxiv, 2022.10. 28.513978, 2022 | 15 | 2022 |
| Bayesian persuasion for algorithmic recourse K Harris, V Chen, J Kim, A Talwalkar, H Heidari, SZ Wu Advances in Neural Information Processing Systems 35, 11131-11144, 2022 | 14 | 2022 |
| Task-aware novelty detection for visual-based deep learning in autonomous systems V Chen, MK Yoon, Z Shao 2020 IEEE International Conference on Robotics and Automation (ICRA), 11060 …, 2020 | 14* | 2020 |
| Learning Personalized Decision Support Policies U Bhatt, V Chen, KM Collins, P Kamalaruban, E Kallina, A Weller, ... arXiv preprint arXiv:2304.06701, 2023 | 12 | 2023 |
| The RealHumanEval: Evaluating Large Language Models' Abilities to Support Programmers H Mozannar, V Chen, M Alsobay, S Das, S Zhao, D Wei, M Nagireddy, ... arXiv preprint arXiv:2404.02806, 2024 | 10* | 2024 |
| Towards connecting use cases and methods in interpretable machine learning V Chen, J Li, JS Kim, G Plumb, A Talwalkar arXiv preprint arXiv:2103.06254 20, 36, 2021 | 9 | 2021 |
| Applying interpretable machine learning in computational biology—pitfalls, recommendations and opportunities for new developments V Chen, M Yang, W Cui, JS Kim, A Talwalkar, J Ma Nature Methods 21 (8), 1454-1461, 2024 | 8 | 2024 |
| Assisting Human Decisions in Document Matching JS Kim, V Chen, D Pruthi, NB Shah, A Talwalkar arXiv preprint arXiv:2302.08450, 2023 | 6 | 2023 |
| LLMs exhibit humanlike response biases L Tjuatja, V Chen, ST Wu, A Talwalkar, GD Neubig A case study in survey design. arXiv 2311, 2023 | 5 | 2023 |
| FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines M Barker, E Kallina, D Ashok, K Collins, A Casovan, A Weller, A Talwalkar, ... Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms …, 2023 | 4 | 2023 |
| Simulated user studies for explanation evaluation V Chen, G Plumb, N Topin, A Talwalkar eXplainable AI approaches for debugging and diagnosis., 2021 | 4 | 2021 |
| AdvisingNets: Learning to Distinguish Correct and Wrong Classifications via Nearest-Neighbor Explanations G Nguyen, V Chen, A Nguyen arXiv preprint arXiv:2308.13651, 2023 | 3* | 2023 |
| A Case Study on Designing Evaluations of ML Explanations with Simulated User Studies A Martin, V Chen, S Jesus, P Saleiro arXiv preprint arXiv:2302.07444, 2023 | 2 | 2023 |
Ameet TalwalkarCMUVerified email at cmu.edu
