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Allison Koenecke
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2020 – today
- 2024
- [j2]Benjamin Q. Huynh, Elizabeth T. Chin, Allison Koenecke, Derek Ouyang, Daniel E. Ho, Mathew V. Kiang, David H. Rehkopf:
Mitigating allocative tradeoffs and harms in an environmental justice data tool. Nat. Mac. Intell. 6(2): 187-194 (2024) - [c8]Allison Koenecke, Anna Seo Gyeong Choi, Katelyn X. Mei, Hilke Schellmann, Mona Sloane:
Careless Whisper: Speech-to-Text Hallucination Harms. FAccT 2024: 1672-1681 - [i12]Allison Koenecke, Anna Seo Gyeong Choi, Katelyn Mei, Hilke Schellmann, Mona Sloane:
Careless Whisper: Speech-to-Text Hallucination Harms. CoRR abs/2402.08021 (2024) - [i11]Andrea W. Wen-Yi, Kathryn Adamson, Nathalie Greenfield, Rachel Goldberg, Sandra Babcock, David Mimno, Allison Koenecke:
Automate or Assist? The Role of Computational Models in Identifying Gendered Discourse in US Capital Trial Transcripts. CoRR abs/2407.12500 (2024) - 2023
- [c7]Orestis Papakyriakopoulos, Anna Seo Gyeong Choi, William Thong, Dora Zhao, Jerone Theodore Alexander Andrews, Rebecca Bourke, Alice Xiang, Allison Koenecke:
Augmented Datasheets for Speech Datasets and Ethical Decision-Making. FAccT 2023: 881-904 - [c6]Rock Yuren Pang, Jack Cenatempo, Franklyn Graham, Bridgette Kuehn, Maddy Whisenant, Portia K. Botchway, Katie Stone Perez, Allison Koenecke:
Auditing Cross-Cultural Consistency of Human-Annotated Labels for Recommendation Systems. FAccT 2023: 1531-1552 - [c5]Allison Koenecke, Eric Giannella, Robb Willer, Sharad Goel:
Popular Support for Balancing Equity and Efficiency in Resource Allocation: A Case Study in Online Advertising to Increase Welfare Program Awareness. ICWSM 2023: 494-506 - [c4]Hammaad Adam, Fan Yin, Huibin Hu, Neil A. Tenenholtz, Lorin Crawford, Lester Mackey, Allison Koenecke:
Should I Stop or Should I Go: Early Stopping with Heterogeneous Populations. NeurIPS 2023 - [i10]Benjamin Q. Huynh, Elizabeth T. Chin, Allison Koenecke, Derek Ouyang, Daniel E. Ho, Mathew V. Kiang, David H. Rehkopf:
Potential for allocative harm in an environmental justice data tool. CoRR abs/2304.05603 (2023) - [i9]Allison Koenecke, Eric Giannella, Robb Willer, Sharad Goel:
Popular Support for Balancing Equity and Efficiency in Resource Allocation: A Case Study in Online Advertising to Increase Welfare Program Awareness. CoRR abs/2304.08530 (2023) - [i8]Orestis Papakyriakopoulos, Anna Seo Gyeong Choi, Jerone Theodore Alexander Andrews, Rebecca Bourke, William Thong, Dora Zhao, Alice Xiang, Allison Koenecke:
Augmented Datasheets for Speech Datasets and Ethical Decision-Making. CoRR abs/2305.04672 (2023) - [i7]Rock Yuren Pang, Jack Cenatempo, Franklyn Graham, Bridgette Kuehn, Maddy Whisenant, Portia K. Botchway, Katie Stone Perez, Allison Koenecke:
Auditing Cross-Cultural Consistency of Human-Annotated Labels for Recommendation Systems. CoRR abs/2305.05917 (2023) - [i6]Hammaad Adam, Fan Yin, Mary Hu, Neil A. Tenenholtz, Lorin Crawford, Lester Mackey, Allison Koenecke:
Should I Stop or Should I Go: Early Stopping with Heterogeneous Populations. CoRR abs/2306.11839 (2023) - 2022
- [c3]J. D. Zamfirescu-Pereira, Jerry Chen, Emily Wen, Allison Koenecke, Nikhil Garg, Emma Pierson:
Trucks Don't Mean Trump: Diagnosing Human Error in Image Analysis. FAccT 2022: 799-813 - [i5]J. D. Zamfirescu-Pereira, Jerry Chen, Emily Wen, Allison Koenecke, Nikhil Garg, Emma Pierson:
Trucks Don't Mean Trump: Diagnosing Human Error in Image Analysis. CoRR abs/2205.07333 (2022) - 2021
- [i4]Ruoxuan Xiong, Allison Koenecke, Michael A. Powell, Zhu Shen, Joshua T. Vogelstein, Susan Athey:
Federated Causal Inference in Heterogeneous Observational Data. CoRR abs/2107.11732 (2021) - 2020
- [j1]Allison Koenecke, Andrew Nam, Emily Lake, Joe Nudell, Minnie Quartey, Zion Mengesha, Connor Toups, John R. Rickford, Dan Jurafsky, Sharad Goel:
Racial disparities in automated speech recognition. Proc. Natl. Acad. Sci. USA 117(14): 7684-7689 (2020) - [c2]Allison Koenecke, Jordi Feliu-Fabà:
Learning Twitter User Sentiments on Climate Change with Limited Labeled Data. ICWSM Workshops 2020 - [i3]Allison Koenecke, Hal R. Varian:
Synthetic Data Generation for Economists. CoRR abs/2011.01374 (2020)
2010 – 2019
- 2019
- [c1]Allison Koenecke, Amita Gajewar:
Curriculum Learning in Deep Neural Networks for Financial Forecasting. MIDAS@PKDD 2019: 16-31 - [i2]Allison Koenecke, Jordi Feliu-Fabà:
Learning Twitter User Sentiments on Climate Change with Limited Labeled Data. CoRR abs/1904.07342 (2019) - [i1]Allison Koenecke, Amita Gajewar:
Curriculum Learning in Deep Neural Networks for Financial Forecasting. CoRR abs/1904.12887 (2019)
Coauthor Index
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last updated on 2024-10-07 22:19 CEST by the dblp team
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