default search action
Jie Ren 0006
Person information
- affiliation: Google Brain, CA, USA
- affiliation (PhD 2017): University of Southern California, Department of Biological Sciences, Los Angeles, CA, USA
- affiliation: Peking University, Department of Probability and Statistics, Beijing, China
Other persons with the same name
- Jie Ren — disambiguation page
- Jie Ren 0001 — Google Inc., Santa Monica, CA, USA (and 1 more)
- Jie Ren 0002
— Nantong University, School of Information Science and Technology, Nantong, China
- Jie Ren 0003
- Jie Ren 0004
- Jie Ren 0005 — National University of Singapore, Department of Physics, Singapore
- Jie Ren 0007
- Jie Ren 0008 — University of Toronto, ON, Canada (and 1 more)
- Jie Ren 0009 — Fordham University, Gabelli School of Business, New York, NY, USA (and 1 more)
- Jie Ren 0010 — Beijing Jiaotong University, School of Electronics and Information Engineering, Beijing, China
- Jie Ren 0011
- Jie Ren 0012 — Peking University, Institute of Computer Science and Technology, Beijing, China
- Jie Ren 0013 — Huawei Technologies, Shanghai, China (and 2 more)
- Jie Ren 0014 — Xi'an Polytechnic University, College of Electronics and Information, Xi'an, China (and 1 more)
- Jie Ren 0015
- Jie Ren 0016 — Harbin Institute of Technology, School of Computer Science and Technology, Harbin, China
- Jie Ren 0017 — Tsinghua University, Beijing, China
- Jie Ren 0018
- Jie Ren 0019
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [i19]Tianqi Liu, Wei Xiong, Jie Ren, Lichang Chen, Junru Wu, Rishabh Joshi, Yang Gao, Jiaming Shen, Zhen Qin, Tianhe Yu, Daniel Sohn, Anastasiia Makarova, Jeremiah Z. Liu, Yuan Liu, Bilal Piot, Abe Ittycheriah, Aviral Kumar, Mohammad Saleh:
RRM: Robust Reward Model Training Mitigates Reward Hacking. CoRR abs/2409.13156 (2024) - 2023
- [j13]Jeremiah Zhe Liu, Shreyas Padhy, Jie Ren, Zi Lin, Yeming Wen, Ghassen Jerfel, Zachary Nado, Jasper Snoek, Dustin Tran, Balaji Lakshminarayanan:
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness. J. Mach. Learn. Res. 24: 42:1-42:63 (2023) - [c10]Yunhao Ge, Jie Ren, Andrew Gallagher, Yuxiao Wang, Ming-Hsuan Yang, Hartwig Adam, Laurent Itti, Balaji Lakshminarayanan, Jiaping Zhao:
Improving Zero-shot Generalization and Robustness of Multi-Modal Models. CVPR 2023: 11093-11101 - [c9]Kundan Krishna, Yao Zhao, Jie Ren, Balaji Lakshminarayanan, Jiaming Luo, Mohammad Saleh, Peter J. Liu:
Improving the Robustness of Summarization Models by Detecting and Removing Input Noise. EMNLP (Findings) 2023: 1324-1336 - [c8]Polina Zablotskaia, Du Phan, Joshua Maynez, Shashi Narayan, Jie Ren, Jeremiah Z. Liu:
On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study. EMNLP (Findings) 2023: 2980-2992 - [c7]Jie Ren, Yao Zhao, Tu Vu, Peter J. Liu, Balaji Lakshminarayanan:
Self-Evaluation Improves Selective Generation in Large Language Models. ICBINB 2023: 49-64 - [c6]Jie Ren, Jiaming Luo, Yao Zhao, Kundan Krishna, Mohammad Saleh, Balaji Lakshminarayanan, Peter J. Liu:
Out-of-Distribution Detection and Selective Generation for Conditional Language Models. ICLR 2023 - [c5]James Urquhart Allingham, Jie Ren, Michael W. Dusenberry, Xiuye Gu, Yin Cui, Dustin Tran, Jeremiah Zhe Liu, Balaji Lakshminarayanan:
A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models. ICML 2023: 547-568 - [i18]James Urquhart Allingham, Jie Ren, Michael W. Dusenberry, Jeremiah Zhe Liu, Xiuye Gu, Yin Cui, Dustin Tran, Balaji Lakshminarayanan:
A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models. CoRR abs/2302.06235 (2023) - [i17]Polina Zablotskaia, Du Phan, Joshua Maynez, Shashi Narayan, Jie Ren, Jeremiah Z. Liu:
On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study. CoRR abs/2304.08653 (2023) - [i16]Yunhao Ge, Jie Ren, Jiaping Zhao, Kaifeng Chen, Andrew Gallagher, Laurent Itti, Balaji Lakshminarayanan:
Building One-class Detector for Anything: Open-vocabulary Zero-shot OOD Detection Using Text-image Models. CoRR abs/2305.17207 (2023) - [i15]Benoit Dherin, Huiyi Hu, Jie Ren, Michael W. Dusenberry, Balaji Lakshminarayanan:
Morse Neural Networks for Uncertainty Quantification. CoRR abs/2307.00667 (2023) - [i14]Jie Ren, Yao Zhao, Tu Vu, Peter J. Liu, Balaji Lakshminarayanan:
Self-Evaluation Improves Selective Generation in Large Language Models. CoRR abs/2312.09300 (2023) - 2022
- [j12]Shaokun An
A New Context Tree Inference Algorithm for Variable Length Markov Chain Model with Applications to Biological Sequence Analyses. J. Comput. Biol. 29(8): 839-856 (2022) - [j11]Abhijit Guha Roy, Jie Ren, Shekoofeh Azizi
Does your dermatology classifier know what it doesn't know? Detecting the long-tail of unseen conditions. Medical Image Anal. 75: 102274 (2022) - [i13]Jeremiah Zhe Liu, Shreyas Padhy, Jie Ren, Zi Lin, Yeming Wen, Ghassen Jerfel, Zack Nado, Jasper Snoek, Dustin Tran, Balaji Lakshminarayanan:
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness. CoRR abs/2205.00403 (2022) - [i12]Dustin Tran, Jeremiah Z. Liu, Michael W. Dusenberry, Du Phan, Mark Collier, Jie Ren, Kehang Han, Zi Wang, Zelda Mariet, Huiyi Hu, Neil Band, Tim G. J. Rudner, Karan Singhal, Zachary Nado, Joost van Amersfoort, Andreas Kirsch, Rodolphe Jenatton, Nithum Thain, Honglin Yuan, Kelly Buchanan, Kevin Murphy, D. Sculley, Yarin Gal, Zoubin Ghahramani, Jasper Snoek, Balaji Lakshminarayanan:
Plex: Towards Reliability using Pretrained Large Model Extensions. CoRR abs/2207.07411 (2022) - [i11]Jie Ren, Jiaming Luo, Yao Zhao, Kundan Krishna, Mohammad Saleh, Balaji Lakshminarayanan, Peter J. Liu:
Out-of-Distribution Detection and Selective Generation for Conditional Language Models. CoRR abs/2209.15558 (2022) - [i10]Yunhao Ge, Jie Ren, Yuxiao Wang, Andrew Gallagher, Ming-Hsuan Yang, Laurent Itti, Hartwig Adam, Balaji Lakshminarayanan, Jiaping Zhao:
Improving Zero-shot Generalization and Robustness of Multi-modal Models. CoRR abs/2212.01758 (2022) - [i9]Kundan Krishna, Yao Zhao, Jie Ren, Balaji Lakshminarayanan, Jiaming Luo, Mohammad Saleh, Peter J. Liu:
Improving the Robustness of Summarization Models by Detecting and Removing Input Noise. CoRR abs/2212.09928 (2022) - 2021
- [j10]Xin Bai
KIMI: Knockoff Inference for Motif Identification from molecular sequences with controlled false discovery rate. Bioinform. 37(6): 759-766 (2021) - [c4]Stanislav Fort, Jie Ren, Balaji Lakshminarayanan:
Exploring the Limits of Out-of-Distribution Detection. NeurIPS 2021: 7068-7081 - [i8]Abhijit Guha Roy, Jie Ren, Shekoofeh Azizi, Aaron Loh, Vivek Natarajan, Basil Mustafa, Nick Pawlowski, Jan Freyberg, Yuan Liu, Zachary Beaver, Nam Vo, Peggy Bui, Samantha Winter, Patricia MacWilliams, Gregory S. Corrado, Umesh Telang, Yun Liu, A. Taylan Cemgil, Alan Karthikesalingam, Balaji Lakshminarayanan, Jim Winkens:
Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions. CoRR abs/2104.03829 (2021) - [i7]Stanislav Fort, Jie Ren, Balaji Lakshminarayanan:
Exploring the Limits of Out-of-Distribution Detection. CoRR abs/2106.03004 (2021) - [i6]Zachary Nado, Neil Band, Mark Collier, Josip Djolonga, Michael W. Dusenberry, Sebastian Farquhar, Angelos Filos, Marton Havasi, Rodolphe Jenatton, Ghassen Jerfel, Jeremiah Z. Liu, Zelda Mariet, Jeremy Nixon, Shreyas Padhy, Jie Ren, Tim G. J. Rudner
Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning. CoRR abs/2106.04015 (2021) - [i5]Jie Ren, Stanislav Fort, Jeremiah Z. Liu, Abhijit Guha Roy, Shreyas Padhy, Balaji Lakshminarayanan:
A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection. CoRR abs/2106.09022 (2021) - 2020
- [j9]Chao Deng, Timothy Daley, Peter Calabrese, Jie Ren, Andrew D. Smith:
Predicting the Number of Bases to Attain Sufficient Coverage in High-Throughput Sequencing Experiments. J. Comput. Biol. 27(7): 1130-1143 (2020) - [j8]Jie Ren, Kai Song, Chao Deng, Nathan A. Ahlgren
Identifying viruses from metagenomic data using deep learning. Quant. Biol. 8(1): 64-77 (2020) - [j7]Lin Wan, Xin Kang, Jie Ren, Fengzhu Sun:
Confidence intervals for Markov chain transition probabilities based on next generation sequencing reads data. Quant. Biol. 8(2): 143-154 (2020) - [i4]Shreyas Padhy, Zachary Nado, Jie Ren, Jeremiah Z. Liu, Jasper Snoek, Balaji Lakshminarayanan:
Revisiting One-vs-All Classifiers for Predictive Uncertainty and Out-of-Distribution Detection in Neural Networks. CoRR abs/2007.05134 (2020)
2010 – 2019
- 2019
- [c3]Jasper Snoek, Yaniv Ovadia, Emily Fertig, Balaji Lakshminarayanan, Sebastian Nowozin, D. Sculley, Joshua V. Dillon, Jie Ren, Zachary Nado:
Can you trust your model's uncertainty? Evaluating predictive uncertainty under dataset shift. NeurIPS 2019: 13969-13980 - [c2]Jie Ren, Peter J. Liu, Emily Fertig, Jasper Snoek, Ryan Poplin, Mark A. DePristo, Joshua V. Dillon, Balaji Lakshminarayanan:
Likelihood Ratios for Out-of-Distribution Detection. NeurIPS 2019: 14680-14691 - [i3]Yaniv Ovadia, Emily Fertig, Jie Ren, Zachary Nado, David Sculley, Sebastian Nowozin, Joshua V. Dillon, Balaji Lakshminarayanan, Jasper Snoek:
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift. CoRR abs/1906.02530 (2019) - [i2]Jie Ren, Peter J. Liu, Emily Fertig, Jasper Snoek, Ryan Poplin, Mark A. DePristo, Joshua V. Dillon, Balaji Lakshminarayanan:
Likelihood Ratios for Out-of-Distribution Detection. CoRR abs/1906.02845 (2019) - [i1]Peter J. Liu, Yu-An Chung, Jie Ren:
SummAE: Zero-Shot Abstractive Text Summarization using Length-Agnostic Auto-Encoders. CoRR abs/1910.00998 (2019) - 2017
- [j6]Mengge Zhang, Lianping Yang
Prediction of virus-host infectious association by supervised learning methods. BMC Bioinform. 18(S-3): 143-154 (2017) - [j5]Yang Young Lu, Kujin Tang, Jie Ren, Jed A. Fuhrman
CAFE: aCcelerated Alignment-FrEe sequence analysis. Nucleic Acids Res. 45(Webserver-Issue): W554-W559 (2017) - 2016
- [j4]Jie Ren, Kai Song, Minghua Deng, Gesine Reinert
Inference of Markovian properties of molecular sequences from NGS data and applications to comparative genomics. Bioinform. 32(7): 993-1000 (2016) - 2014
- [j3]Kai Song, Jie Ren, Gesine Reinert
New developments of alignment-free sequence comparison: measures, statistics and next-generation sequencing. Briefings Bioinform. 15(3): 343-353 (2014) - 2013
- [j2]Jie Ren, Kai Song, Fengzhu Sun, Minghua Deng, Gesine Reinert
Multiple alignment-free sequence comparison. Bioinform. 29(21): 2690-2698 (2013) - [j1]Kai Song, Jie Ren, Zhiyuan Zhai, Xuemei Liu, Minghua Deng, Fengzhu Sun:
Alignment-Free Sequence Comparison Based on Next-Generation Sequencing Reads. J. Comput. Biol. 20(2): 64-79 (2013) - 2012
- [c1]Kai Song, Jie Ren, Zhiyuan Zhai, Xuemei Liu, Minghua Deng, Fengzhu Sun:
Alignment-Free Sequence Comparison Based on Next Generation Sequencing Reads: Extended Abstract. RECOMB 2012: 272-285
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 2024-12-26 01:52 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: