| Secure Computation for Machine Learning With SPDZ V Chen, V Pastro, M Raykova arXiv preprint arXiv:1901.00329, 2019 | 77 | 2019 |
| Interpretable Machine Learning: Moving from mythos to diagnostics V Chen, J Li, JS Kim, G Plumb, A Talwalkar Queue 19 (6), 28-56, 2022 | 51* | 2022 |
| Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning V Chen, A Gupta, K Marino arXiv preprint arXiv:2011.00517, 2020 | 37 | 2020 |
| 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 | 35 | 2023 |
| 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 | 19* | 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 | 16 | 2024 |
| 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 | 12* | 2020 |
| 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 | 10 | 2022 |
| Do LLMs exhibit human-like response biases? A case study in survey design L Tjuatja, V Chen, ST Wu, A Talwalkar, G Neubig arXiv preprint arXiv:2311.04076, 2023 | 8 | 2023 |
| 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 | 8 | 2022 |
| Learning Personalized Decision Support Policies U Bhatt, V Chen, KM Collins, P Kamalaruban, E Kallina, A Weller, ... arXiv preprint arXiv:2304.06701, 2023 | 7 | 2023 |
| Assisting Human Decisions in Document Matching JS Kim, V Chen, D Pruthi, NB Shah, A Talwalkar arXiv preprint arXiv:2302.08450, 2023 | 3 | 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 | 2 | 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 |
| AdvisingNets: Learning to Distinguish Correct and Wrong Classifications via Nearest-Neighbor Explanations G Nguyen, V Chen, A Nguyen arXiv preprint arXiv:2308.13651, 2023 | 1 | 2023 |
| Perspectives on incorporating expert feedback into model updates V Chen, U Bhatt, H Heidari, A Weller, A Talwalkar Patterns 4 (7), 2023 | 1 | 2023 |
| Video-Text Compliance: Activity Verification Based on Natural Language Instructions M Jaiswal, F Liu, A Jagannathan, A Gattiker, I Hwang, J Lee, M Tong, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 1 | 2019 |
| 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 | | 2024 |
| Simulating Iterative Human-AI Interaction in Programming with LLMs H Mozannar, V Chen, D Wei, P Sattigeri, M Nagireddy, S Das, A Talwalkar, ... NeurIPS 2023 Workshop on Instruction Tuning and Instruction Following, 2023 | | 2023 |
| Are Model Explanations Useful in Practice? Rethinking How to Support Human-ML Interactions V Chen Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 942-944, 2023 | | 2023 |
Ameet TalwalkarCMUVerified email at cmu.edu
