עקוב אחר
Valerie Chen
כותרת
צוטט על ידי
צוטט על ידי
שנה
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
1152023
Secure Computation for Machine Learning With SPDZ
V Chen, V Pastro, M Raykova
arXiv preprint arXiv:1901.00329, 2019
822019
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
652022
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
632024
Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning
V Chen, A Gupta, K Marino
arXiv preprint arXiv:2011.00517, 2020
472020
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
212022
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
192024
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
172022
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
152024
Learning Personalized Decision Support Policies
U Bhatt, V Chen, KM Collins, P Kamalaruban, E Kallina, A Weller, ...
arXiv preprint arXiv:2304.06701, 2023
142023
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
142022
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
12*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
82021
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
72020
Assisting Human Decisions in Document Matching
JS Kim, V Chen, D Pruthi, NB Shah, A Talwalkar
arXiv preprint arXiv:2302.08450, 2023
62023
Novelty detection via network saliency in visual-based deep learning
V Chen, MK Yoon, Z Shao
2019 49th Annual IEEE/IFIP International Conference on Dependable Systems …, 2019
62019
LLMs exhibit humanlike response biases
L Tjuatja, V Chen, ST Wu, A Talwalkar, GD Neubig
A case study in survey design. arXiv 2311, 2023
52023
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
42023
Modulating Language Model Experiences through Frictions
KM Collins, V Chen, I Sucholutsky, HR Kirk, M Sadek, H Sargeant, ...
arXiv preprint arXiv:2407.12804, 2024
32024
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
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מאמרים 1–20