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2020 – today
- 2024
[j2]Aaditya Naik
, Adam Stein, Yinjun Wu, Mayur Naik, Eric Wong:
TorchQL: A Programming Framework for Integrity Constraints in Machine Learning. Proc. ACM Program. Lang. 8(OOPSLA1): 833-863 (2024)- [c5]Adam Stein, Aaditya Naik, Yinjun Wu, Mayur Naik, Eric Wong:
Towards Compositionality in Concept Learning. ICML 2024 - [i6]Adam Stein, Aaditya Naik, Yinjun Wu, Mayur Naik, Eric Wong:
Towards Compositionality in Concept Learning. CoRR abs/2406.18534 (2024) - 2023
- [j1]Aaditya Naik, Aalok Thakkar, Adam Stein, Rajeev Alur, Mayur Naik:
Relational Query Synthesis ⋈ Decision Tree Learning. Proc. VLDB Endow. 17(2): 250-263 (2023) - [c4]Yinjun Wu, Adam Stein, Jacob Gardner, Mayur Naik:
Learning to Select Pivotal Samples for Meta Re-weighting. AAAI 2023: 6128-6136 - [c3]Shreya Havaldar, Adam Stein, Eric Wong, Lyle H. Ungar:
TopEx: Topic-based Explanations for Model Comparison. Tiny Papers @ ICLR 2023 - [c2]Qing Lyu, Shreya Havaldar, Adam Stein, Li Zhang, Delip Rao, Eric Wong, Marianna Apidianaki, Chris Callison-Burch:
Faithful Chain-of-Thought Reasoning. IJCNLP (1) 2023: 305-329 - [i5]Qing Lyu, Shreya Havaldar, Adam Stein, Li Zhang, Delip Rao, Eric Wong, Marianna Apidianaki, Chris Callison-Burch:
Faithful Chain-of-Thought Reasoning. CoRR abs/2301.13379 (2023) - [i4]Yinjun Wu, Adam Stein, Jacob Gardner, Mayur Naik:
Learning to Select Pivotal Samples for Meta Re-weighting. CoRR abs/2302.04418 (2023) - [i3]Adam Stein, Yinjun Wu, Eric Wong, Mayur Naik:
Rectifying Group Irregularities in Explanations for Distribution Shift. CoRR abs/2305.16308 (2023) - [i2]Shreya Havaldar, Adam Stein, Eric Wong, Lyle H. Ungar:
TopEx: Topic-based Explanations for Model Comparison. CoRR abs/2306.00976 (2023) - [i1]Aaditya Naik, Adam Stein, Yinjun Wu, Eric Wong, Mayur Naik:
MDB: Interactively Querying Datasets and Models. CoRR abs/2308.06686 (2023)
2010 – 2019
- 2018
- [c1]Zachary Nichols, Adam Stein:
Attribution Inference for Digital Advertising using Inhomogeneous Poisson Models. WWW 2018: 1885-1892
Coauthor Index
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