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ORCIDJin Peng Zhou
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2020 – today
- 2024
[j2]Zhenzhen Liu, Jin Peng Zhou, Kilian Q. Weinberger:
Leveraging diffusion models for unsupervised out-of-distribution detection on image manifold. Frontiers Artif. Intell. 7 (2024)- [c9]Maciej Mikula, Szymon Tworkowski, Szymon Antoniak, Bartosz Piotrowski, Albert Q. Jiang, Jin Peng Zhou, Christian Szegedy, Lukasz Kucinski, Piotr Milos, Yuhuai Wu:
Magnushammer: A Transformer-Based Approach to Premise Selection. ICLR 2024 - [c8]Jin Peng Zhou, Charles Staats, Wenda Li, Christian Szegedy, Kilian Q. Weinberger, Yuhuai Wu:
Don't Trust: Verify - Grounding LLM Quantitative Reasoning with Autoformalization. ICLR 2024 - [c7]Jin Peng Zhou, Yuhuai Wu, Qiyang Li, Roger Baker Grosse:
REFACTOR: Learning to Extract Theorems from Proofs. ICLR 2024 - [i15]Quang-Huy Nguyen, Jin Peng Zhou, Zhenzhen Liu, Khanh-Huyen Bui, Kilian Q. Weinberger, Dung D. Le
:
Zero-shot Object-Level OOD Detection with Context-Aware Inpainting. CoRR abs/2402.03292 (2024) - [i14]Jin Peng Zhou, Yuhuai Wu, Qiyang Li, Roger B. Grosse:
REFACTOR: Learning to Extract Theorems from Proofs. CoRR abs/2402.17032 (2024) - [i13]Jin Peng Zhou, Charles Staats, Wenda Li, Christian Szegedy, Kilian Q. Weinberger, Yuhuai Wu:
Don't Trust: Verify - Grounding LLM Quantitative Reasoning with Autoformalization. CoRR abs/2403.18120 (2024) - [i12]Hao Tang, Keya Hu, Jin Peng Zhou, Sicheng Zhong, Wei-Long Zheng, Xujie Si, Kevin Ellis:
Code Repair with LLMs gives an Exploration-Exploitation Tradeoff. CoRR abs/2405.17503 (2024) - [i11]Jin Peng Zhou, Katie Z. Luo, Jingwen Gu, Jason Yuan, Kilian Q. Weinberger, Wen Sun:
Orchestrating LLMs with Different Personalizations. CoRR abs/2407.04181 (2024) - [i10]Jin Peng Zhou, Christian K. Belardi, Ruihan Wu, Travis Zhang, Carla P. Gomes, Wen Sun, Kilian Q. Weinberger:
On Speeding Up Language Model Evaluation. CoRR abs/2407.06172 (2024) - [i9]Morgane Rivière, Shreya Pathak, Pier Giuseppe Sessa, Cassidy Hardin, Surya Bhupatiraju, Léonard Hussenot, Thomas Mesnard, Bobak Shahriari, Alexandre Ramé, Johan Ferret, Peter Liu, Pouya Tafti, Abe Friesen, Michelle Casbon, Sabela Ramos, Ravin Kumar, Charline Le Lan, Sammy Jerome, Anton Tsitsulin, Nino Vieillard, Piotr Stanczyk, Sertan Girgin, Nikola Momchev, Matt Hoffman, Shantanu Thakoor, Jean-Bastien Grill, Behnam Neyshabur, Olivier Bachem, Alanna Walton, Aliaksei Severyn, Alicia Parrish, Aliya Ahmad, Allen Hutchison, Alvin Abdagic, Amanda Carl, Amy Shen, Andy Brock, Andy Coenen, Anthony Laforge, Antonia Paterson, Ben Bastian, Bilal Piot, Bo Wu, Brandon Royal, Charlie Chen, Chintu Kumar, Chris Perry, Chris Welty, Christopher A. Choquette-Choo, Danila Sinopalnikov, David Weinberger, Dimple Vijaykumar, Dominika Rogozinska, Dustin Herbison, Elisa Bandy, Emma Wang, Eric Noland, Erica Moreira, Evan Senter, Evgenii Eltyshev, Francesco Visin, Gabriel Rasskin, Gary Wei, Glenn Cameron, Gus Martins, Hadi Hashemi, Hanna Klimczak-Plucinska, Harleen Batra, Harsh Dhand, Ivan Nardini, Jacinda Mein, Jack Zhou, James Svensson, Jeff Stanway, Jetha Chan, Jin Peng Zhou, Joana Carrasqueira, Joana Iljazi, Jocelyn Becker, Joe Fernandez, Joost van Amersfoort, Josh Gordon, Josh Lipschultz, Josh Newlan, Ju-yeong Ji, Kareem Mohamed, Kartikeya Badola, Kat Black, Katie Millican, Keelin McDonell, Kelvin Nguyen, Kiranbir Sodhia, Kish Greene, Lars Lowe Sjösund, Lauren Usui, Laurent Sifre, Lena Heuermann, Leticia Lago, Lilly McNealus:
Gemma 2: Improving Open Language Models at a Practical Size. CoRR abs/2408.00118 (2024) - 2023
- [c6]Ruihan Wu, Jin Peng Zhou, Kilian Q. Weinberger, Chuan Guo:
Does Label Differential Privacy Prevent Label Inference Attacks? AISTATS 2023: 4336-4347 - [c5]Albert Qiaochu Jiang, Sean Welleck, Jin Peng Zhou, Timothée Lacroix, Jiacheng Liu, Wenda Li, Mateja Jamnik, Guillaume Lample, Yuhuai Wu:
Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs. ICLR 2023 - [c4]Zhenzhen Liu, Jin Peng Zhou, Yufan Wang, Kilian Q. Weinberger:
Unsupervised Out-of-Distribution Detection with Diffusion Inpainting. ICML 2023: 22528-22538 - [i8]Zhenzhen Liu, Jin Peng Zhou, Yufan Wang, Kilian Q. Weinberger:
Unsupervised Out-of-Distribution Detection with Diffusion Inpainting. CoRR abs/2302.10326 (2023) - [i7]Maciej Mikula, Szymon Antoniak, Szymon Tworkowski, Albert Qiaochu Jiang, Jin Peng Zhou, Christian Szegedy, Lukasz Kucinski, Piotr Milos, Yuhuai Wu:
Magnushammer: A Transformer-based Approach to Premise Selection. CoRR abs/2303.04488 (2023) - [i6]Zhenzhen Liu, Chao Wan, Varsha Kishore, Jin Peng Zhou, Minmin Chen, Kilian Q. Weinberger:
Correction with Backtracking Reduces Hallucination in Summarization. CoRR abs/2310.16176 (2023) - 2022
- [i5]Ruihan Wu, Jin Peng Zhou, Kilian Q. Weinberger, Chuan Guo:
Does Label Differential Privacy Prevent Label Inference Attacks? CoRR abs/2202.12968 (2022) - [i4]Albert Q. Jiang, Sean Welleck, Jin Peng Zhou, Wenda Li, Jiacheng Liu, Mateja Jamnik, Timothée Lacroix, Yuhuai Wu, Guillaume Lample:
Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs. CoRR abs/2210.12283 (2022) - [i3]Roei Schuster, Jin Peng Zhou, Thorsten Eisenhofer, Paul Grubbs, Nicolas Papernot:
Learned Systems Security. CoRR abs/2212.10318 (2022) - 2021
- [c3]Hojin Yang, Scott Sanner, Ga Wu, Jin Peng Zhou:
Bayesian Preference Elicitation with Keyphrase-Item Coembeddings for Interactive Recommendation. UMAP 2021: 55-64 - 2020
- [c2]Maksims Volkovs, Zhaoyue Cheng, Mathieu Ravaut, Hojin Yang, Kevin Shen, Jin Peng Zhou, Anson Wong, Saba Zuberi, Ivan Zhang, Nick Frosst, Helen Ngo, Carol Chen, Bharat Venkitesh, Stephen Gou, Aidan N. Gomez:
Predicting Twitter Engagement With Deep Language Models. RecSys Challenge 2020: 38-43 - [c1]Jin Peng Zhou, Zhaoyue Cheng, Felipe Pérez, Maksims Volkovs:
TAFA: Two-headed Attention Fused Autoencoder for Context-Aware Recommendations. RecSys 2020: 338-347 - [i2]Jin Peng Zhou, Ga Wu, Zheda Mai, Scott Sanner:
Noise Contrastive Estimation for Autoencoding-based One-Class Collaborative Filtering. CoRR abs/2008.01246 (2020) - [i1]Baiwu Zhang, Jin Peng Zhou, Ilia Shumailov, Nicolas Papernot:
Not My Deepfake: Towards Plausible Deniability for Machine-Generated Media. CoRR abs/2008.09194 (2020)
2010 – 2019
- 2019
- [j1]Dongdai Zhou, Meng Ouyang, Zhejun Kuang, Zhen Li, Jin Peng Zhou, Xiaochun Cheng:
Incremental Association Rule Mining Based on Matrix Compression for Edge Computing. IEEE Access 7: 173044-173053 (2019)
Coauthor Index
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last updated on 2024-10-04 19:56 CEST by the dblp team
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