Остановите войну!
for scientists:
default search action
John Miller 0001
Person information
- affiliation: University of California, Berkeley, Department of Electrical Engineering and Computer Sciences , CA, USA
- affiliation: Baidu Research, Silicon Valley Artificial Intelligence Lab, Sunnyvale, CA, USA
Other persons with the same name
- John Miller — disambiguation page
- John Miller 0002 (aka: John H. Miller 0001) — Carnegie Mellon University, Department of Social and Decision Sciences, Pittsburgh, PA, USA (and 2 more)
- John Miller 0003 (aka: John V. Miller) — US Air Force Academy, Colorado Springs, CO, USA (and 1 more)
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2022
- [b1]John Miller:
Validity Challenges in Machine Learning Benchmarks. University of California, Berkeley, USA, 2022 - [c16]Rediet Abebe, Moritz Hardt, Angela Jin, John Miller, Ludwig Schmidt, Rebecca Wexler:
Adversarial Scrutiny of Evidentiary Statistical Software. FAccT 2022: 1733-1746 - [i15]Rediet Abebe, Moritz Hardt, Angela Jin, John Miller, Ludwig Schmidt, Rebecca Wexler:
Adversarial Scrutiny of Evidentiary Statistical Software. CoRR abs/2206.09305 (2022) - 2021
- [c15]John Miller, Juan C. Perdomo, Tijana Zrnic:
Outside the Echo Chamber: Optimizing the Performative Risk. ICML 2021: 7710-7720 - [c14]John Miller, Rohan Taori, Aditi Raghunathan, Shiori Sagawa, Pang Wei Koh, Vaishaal Shankar, Percy Liang, Yair Carmon, Ludwig Schmidt:
Accuracy on the Line: on the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization. ICML 2021: 7721-7735 - [c13]Frances Ding, Moritz Hardt, John Miller, Ludwig Schmidt:
Retiring Adult: New Datasets for Fair Machine Learning. NeurIPS 2021: 6478-6490 - [i14]John Miller, Juan C. Perdomo, Tijana Zrnic:
Outside the Echo Chamber: Optimizing the Performative Risk. CoRR abs/2102.08570 (2021) - [i13]John Miller, Rohan Taori, Aditi Raghunathan, Shiori Sagawa, Pang Wei Koh, Vaishaal Shankar, Percy Liang, Yair Carmon, Ludwig Schmidt:
Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization. CoRR abs/2107.04649 (2021) - [i12]Frances Ding, Moritz Hardt, John Miller, Ludwig Schmidt:
Retiring Adult: New Datasets for Fair Machine Learning. CoRR abs/2108.04884 (2021) - 2020
- [c12]John Miller, Karl Krauth, Benjamin Recht, Ludwig Schmidt:
The Effect of Natural Distribution Shift on Question Answering Models. ICML 2020: 6905-6916 - [c11]John Miller, Smitha Milli, Moritz Hardt:
Strategic Classification is Causal Modeling in Disguise. ICML 2020: 6917-6926 - [c10]Yu Sun, Xiaolong Wang, Zhuang Liu, John Miller, Alexei A. Efros, Moritz Hardt:
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts. ICML 2020: 9229-9248 - [i11]John Miller, Karl Krauth, Benjamin Recht, Ludwig Schmidt:
The Effect of Natural Distribution Shift on Question Answering Models. CoRR abs/2004.14444 (2020)
2010 – 2019
- 2019
- [c9]Smitha Milli, John Miller, Anca D. Dragan, Moritz Hardt:
The Social Cost of Strategic Classification. FAT 2019: 230-239 - [c8]John Miller, Moritz Hardt:
Stable Recurrent Models. ICLR (Poster) 2019 - [c7]Rebecca Roelofs, Vaishaal Shankar, Benjamin Recht, Sara Fridovich-Keil, Moritz Hardt, John Miller, Ludwig Schmidt:
A Meta-Analysis of Overfitting in Machine Learning. NeurIPS 2019: 9175-9185 - [c6]Horia Mania, John Miller, Ludwig Schmidt, Moritz Hardt, Benjamin Recht:
Model Similarity Mitigates Test Set Overuse. NeurIPS 2019: 9993-10002 - [i10]Horia Mania, John Miller, Ludwig Schmidt, Moritz Hardt, Benjamin Recht:
Model Similarity Mitigates Test Set Overuse. CoRR abs/1905.12580 (2019) - [i9]Yu Sun, Xiaolong Wang, Zhuang Liu, John Miller, Alexei A. Efros, Moritz Hardt:
Test-Time Training for Out-of-Distribution Generalization. CoRR abs/1909.13231 (2019) - [i8]John Miller, Smitha Milli, Moritz Hardt:
Strategic Adaptation to Classifiers: A Causal Perspective. CoRR abs/1910.10362 (2019) - 2018
- [c5]Wei Ping, Kainan Peng, Andrew Gibiansky, Sercan Ömer Arik, Ajay Kannan, Sharan Narang, Jonathan Raiman, John Miller:
Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning. ICLR (Poster) 2018 - [i7]John Miller, Moritz Hardt:
When Recurrent Models Don't Need To Be Recurrent. CoRR abs/1805.10369 (2018) - [i6]Smitha Milli, John Miller, Anca D. Dragan, Moritz Hardt:
The Social Cost of Strategic Classification. CoRR abs/1808.08460 (2018) - 2017
- [c4]Jonathan Raiman, John Miller:
Globally Normalized Reader. EMNLP 2017: 1059-1069 - [c3]Sercan Ömer Arik, Mike Chrzanowski, Adam Coates, Gregory Frederick Diamos, Andrew Gibiansky, Yongguo Kang, Xian Li, John Miller, Andrew Y. Ng, Jonathan Raiman, Shubho Sengupta, Mohammad Shoeybi:
Deep Voice: Real-time Neural Text-to-Speech. ICML 2017: 195-204 - [c2]Andrew Gibiansky, Sercan Ömer Arik, Gregory Frederick Diamos, John Miller, Kainan Peng, Wei Ping, Jonathan Raiman, Yanqi Zhou:
Deep Voice 2: Multi-Speaker Neural Text-to-Speech. NIPS 2017: 2962-2970 - [i5]Sercan Ömer Arik, Mike Chrzanowski, Adam Coates, Greg Diamos, Andrew Gibiansky, Yongguo Kang, Xian Li, John Miller, Jonathan Raiman, Shubho Sengupta, Mohammad Shoeybi:
Deep Voice: Real-time Neural Text-to-Speech. CoRR abs/1702.07825 (2017) - [i4]Sercan Ömer Arik, Gregory F. Diamos, Andrew Gibiansky, John Miller, Kainan Peng, Wei Ping, Jonathan Raiman, Yanqi Zhou:
Deep Voice 2: Multi-Speaker Neural Text-to-Speech. CoRR abs/1705.08947 (2017) - [i3]Jonathan Raiman, John Miller:
Globally Normalized Reader. CoRR abs/1709.02828 (2017) - [i2]Wei Ping, Kainan Peng, Andrew Gibiansky, Sercan Ömer Arik, Ajay Kannan, Sharan Narang, Jonathan Raiman, John Miller:
Deep Voice 3: 2000-Speaker Neural Text-to-Speech. CoRR abs/1710.07654 (2017) - 2015
- [c1]Kelvin Guu, John Miller, Percy Liang:
Traversing Knowledge Graphs in Vector Space. EMNLP 2015: 318-327 - [i1]Kelvin Guu, John Miller, Percy Liang:
Traversing Knowledge Graphs in Vector Space. CoRR abs/1506.01094 (2015)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-07-09 05:26 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint