v1v2 (latest)

Out-of-Distribution Detection using Synthetic Data Generation

5 February 2025

ArXiv (abs)PDF HTML Github (21★)

Papers citing "Out-of-Distribution Detection using Synthetic Data Generation"

50 / 75 papers shown

Title
Graph Synthetic Out-of-Distribution Exposure with Large Language Models Haoyan Xu Zhengtao Yao Ziyi Wang Zhan Cheng Xiyang Hu Mengyuan Li Yue Zhao OODD 329 1 0 29 Apr 2025
The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale Guilherme Penedo Hynek Kydlícek Loubna Ben Allal Anton Lozhkov Margaret Mitchell Colin Raffel Leandro von Werra Thomas Wolf 250 463 0 25 Jun 2024
CLIP-driven Outliers Synthesis for few-shot OOD detection Hao Sun Rundong He Zhongyi Han Zhicong Lin Yongshun Gong Yilong Yin OODD 208 7 0 30 Mar 2024
RewardBench: Evaluating Reward Models for Language Modeling Nathan Lambert Valentina Pyatkin Jacob Morrison Lester James V. Miranda Bill Yuchen Lin ... Sachin Kumar Tom Zick Yejin Choi Noah A. Smith Hanna Hajishirzi ALM 272 320 0 20 Mar 2024
Aligners: Decoupling LLMs and Alignment Lilian Ngweta Mayank Agarwal Subha Maity Alex Gittens Yuekai Sun Mikhail Yurochkin 162 3 0 07 Mar 2024
How Does Unlabeled Data Provably Help Out-of-Distribution Detection?International Conference on Learning Representations (ICLR), 2024 Xuefeng Du Zhen Fang Ilias Diakonikolas Shouqing Yang OODD 145 34 0 05 Feb 2024
How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection? Soumya Suvra Ghosal Yiyou Sun Shouqing Yang OODD 124 18 0 22 Dec 2023
Out-of-distribution Detection Learning with Unreliable Out-of-distribution SourcesNeural Information Processing Systems (NeurIPS), 2023 Haotian Zheng Qizhou Wang Zhen Fang Xiaobo Xia Yifan Zhang Tongliang Liu Bo Han 317 36 0 06 Nov 2023
Learning to Augment Distributions for Out-of-Distribution DetectionNeural Information Processing Systems (NeurIPS), 2023 Qizhou Wang Zhen Fang Yonggang Zhang Yifan Zhang Shouqing Yang Bo Han OODD 230 47 0 03 Nov 2023
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative ExtrapolationNeural Information Processing Systems (NeurIPS), 2023 Jianing Zhu Geng Yu Jiangchao Yao Tongliang Liu Gang Niu Masashi Sugiyama Bo Han OODD 185 40 0 21 Oct 2023
Confronting Reward Model Overoptimization with Constrained RLHF Ted Moskovitz Aaditya K. Singh DJ Strouse Tuomas Sandholm Ruslan Salakhutdinov Anca D. Dragan Alexander Shmakov 187 70 0 06 Oct 2023
Dream the Impossible: Outlier Imagination with Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2023 Xuefeng Du Yiyou Sun Xiaojin Zhu Shouqing Yang 149 82 0 23 Sep 2023
BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference DatasetNeural Information Processing Systems (NeurIPS), 2023 Jiaming Ji Mickel Liu Juntao Dai Xuehai Pan Chi Zhang Ce Bian Chi Zhang Ruiyang Sun Yizhou Wang Yaodong Yang ALM 192 646 0 10 Jul 2023
Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and DetectionInternational Conference on Machine Learning (ICML), 2023 Haoyue Bai Gregory H. Canal Xuefeng Du Jeongyeol Kwon Robert D. Nowak Shouqing Yang OODD 143 56 0 15 Jun 2023
How Does Fine-Tuning Impact Out-of-Distribution Detection for Vision-Language Models?International Journal of Computer Vision (IJCV), 2023 Yifei Ming Shouqing Yang OODD VLM 183 53 0 09 Jun 2023
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs EvaluationsNeural Information Processing Systems (NeurIPS), 2023 Lifan Yuan Yangyi Chen Ganqu Cui Hongcheng Gao Fangyuan Zou Xingyi Cheng Heng Ji Zhiyuan Liu Maosong Sun 226 110 0 07 Jun 2023
Pythia: A Suite for Analyzing Large Language Models Across Training and ScalingInternational Conference on Machine Learning (ICML), 2023 Stella Biderman Hailey Schoelkopf Quentin G. Anthony Herbie Bradley Kyle O'Brien ... USVSN Sai Prashanth Edward Raff Aviya Skowron Lintang Sutawika Oskar van der Wal 256 1,552 0 03 Apr 2023
Out-of-distribution Detection with Implicit Outlier TransformationInternational Conference on Learning Representations (ICLR), 2023 Qizhou Wang Junjie Ye Yifan Zhang Quanyu Dai Marcus Kalander Tongliang Liu Jianye Hao Bo Han OODD 271 54 0 09 Mar 2023
Does Synthetic Data Generation of LLMs Help Clinical Text Mining? Ruixiang Tang Xiaotian Han Xiaoqian Jiang Helen Zhou LM&MA AI4MH SyDa 225 209 0 08 Mar 2023
LLaMA: Open and Efficient Foundation Language Models Hugo Touvron Thibaut Lavril Gautier Izacard Xavier Martinet Marie-Anne Lachaux ... Faisal Azhar Aurelien Rodriguez Armand Joulin Edouard Grave Guillaume Lample ALM PILM 2.0K 16,507 0 27 Feb 2023
A framework for benchmarking class-out-of-distribution detection and its application to ImageNetInternational Conference on Learning Representations (ICLR), 2023 Ido Galil Mohammed Dabbah Ran El-Yaniv UQCV 160 36 0 23 Feb 2023
Energy-based Out-of-Distribution Detection for Graph Neural NetworksInternational Conference on Learning Representations (ICLR), 2023 Qitian Wu Yiting Chen Chenxiao Yang Junchi Yan OODD 297 86 0 06 Feb 2023
Self-Instruct: Aligning Language Models with Self-Generated InstructionsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 Yizhong Wang Yeganeh Kordi Swaroop Mishra Alisa Liu Noah A. Smith Daniel Khashabi Hannaneh Hajishirzi ALM SyDa LRM 465 2,665 0 20 Dec 2022
Is Out-of-Distribution Detection Learnable?Neural Information Processing Systems (NeurIPS), 2022 Zhen Fang Shouqing Yang Jie Lu Jiahua Dong Bo Han Yifan Zhang OODD 241 157 0 26 Oct 2022
Scaling Laws for Reward Model OveroptimizationInternational Conference on Machine Learning (ICML), 2022 Leo Gao John Schulman Jacob Hilton ALM 213 718 0 19 Oct 2022
OpenOOD: Benchmarking Generalized Out-of-Distribution DetectionNeural Information Processing Systems (NeurIPS), 2022 Jingkang Yang Pengyun Wang Dejian Zou Zitang Zhou Kun Ding ... Kaiyang Zhou Wayne Zhang Dan Hendrycks Shouqing Yang Ziwei Liu OODD 181 304 0 13 Oct 2022
Extremely Simple Activation Shaping for Out-of-Distribution DetectionInternational Conference on Learning Representations (ICLR), 2022 Andrija Djurisic Nebojsa Bozanic Arjun Ashok Rosanne Liu OODD 318 197 0 20 Sep 2022
Topological Structure Learning for Weakly-Supervised Out-of-Distribution DetectionACM Multimedia (ACM MM), 2022 Rundong He Rong Li Zhongyi Han Yilong Yin 144 5 0 16 Sep 2022
Domain Adaptation under Open Set Label ShiftNeural Information Processing Systems (NeurIPS), 2022 Saurabh Garg Sivaraman Balakrishnan Zachary Chase Lipton OOD VLM 163 53 0 26 Jul 2022
POEM: Out-of-Distribution Detection with Posterior SamplingInternational Conference on Machine Learning (ICML), 2022 Yifei Ming Ying Fan Shouqing Yang OODD 161 136 0 28 Jun 2022
Self-Guided Noise-Free Data Generation for Efficient Zero-Shot LearningInternational Conference on Learning Representations (ICLR), 2022 Jiahui Gao Renjie Pi Yong Lin Hang Xu Jiacheng Ye Zhiyong Wu Weizhong Zhang Xiaodan Liang Zhenguo Li Lingpeng Kong SyDa VLM 219 55 0 25 May 2022
Mitigating Neural Network Overconfidence with Logit NormalizationInternational Conference on Machine Learning (ICML), 2022 Jianguo Huang Renchunzi Xie Hao-Ran Cheng Lei Feng Bo An Shouqing Yang OODD 479 327 0 19 May 2022
ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech DetectionAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 Thomas Hartvigsen Saadia Gabriel Hamid Palangi Maarten Sap Dipankar Ray Ece Kamar 230 472 0 17 Mar 2022
Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the WildComputer Vision and Pattern Recognition (CVPR), 2022 Xuefeng Du Xin Eric Wang Gabriel Gozum Shouqing Yang OODD 191 108 0 08 Mar 2022
Training language models to follow instructions with human feedbackNeural Information Processing Systems (NeurIPS), 2022 Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 1.7K 16,276 0 04 Mar 2022
Training OOD Detectors in their Natural HabitatsInternational Conference on Machine Learning (ICML), 2022 Julian Katz-Samuels Julia B. Nakhleh Robert D. Nowak Shouqing Yang OODD 159 101 0 07 Feb 2022
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures Dan Hendrycks Andy Zou Mantas Mazeika Leonard Tang Yue Liu Basel Alomair Jacob Steinhardt UQCV 135 162 0 09 Dec 2021
ReAct: Out-of-distribution Detection With Rectified Activations Yiyou Sun Chuan Guo Shouqing Yang OODD 265 560 0 24 Nov 2021
DICE: Leveraging Sparsification for Out-of-Distribution Detection Yiyou Sun Shouqing Yang OODD 250 189 0 18 Nov 2021
Mixture Proportion Estimation and PU Learning: A Modern ApproachNeural Information Processing Systems (NeurIPS), 2021 Saurabh Garg Yifan Wu Alexander J. Smola Sivaraman Balakrishnan Zachary Chase Lipton 117 62 0 01 Nov 2021
Training Verifiers to Solve Math Word Problems K. Cobbe V. Kosaraju Mohammad Bavarian Mark Chen Heewoo Jun ... Jerry Tworek Jacob Hilton Reiichiro Nakano Christopher Hesse John Schulman ReLM OffRL LRM 740 6,221 0 27 Oct 2021
Generalized Out-of-Distribution Detection: A SurveyInternational Journal of Computer Vision (IJCV), 2021 Jingkang Yang Kaiyang Zhou Shouqing Yang Ziwei Liu 464 1,142 0 21 Oct 2021
Can multi-label classification networks know what they don't know? Haoran Wang Weitang Liu Alex E. Bocchieri Shouqing Yang OODD 247 135 0 29 Sep 2021
Semantically Coherent Out-of-Distribution DetectionIEEE International Conference on Computer Vision (ICCV), 2021 Jingkang Yang Haoqi Wang Xue Jiang Xiaopeng Yan Huabin Zheng Wayne Zhang Ziwei Liu OODD 176 143 0 26 Aug 2021
Program Synthesis with Large Language Models Jacob Austin Augustus Odena Maxwell Nye Maarten Bosma Henryk Michalewski ... Ellen Jiang Carrie J. Cai Michael Terry Quoc V. Le Charles Sutton ELM AIMat ReCod ALM 292 2,617 0 16 Aug 2021
LoRA: Low-Rank Adaptation of Large Language ModelsInternational Conference on Learning Representations (ICLR), 2021 J. E. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang Weizhu Chen OffRL AI4TS AI4CE ALM AIMat 1.3K 13,939 0 17 Jun 2021
A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection Jie Jessie Ren Stanislav Fort J. Liu Abhijit Guha Roy Shreyas Padhy Balaji Lakshminarayanan UQCV 309 265 0 16 Jun 2021
Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-grained EnvironmentsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021 Jingyang Zhang Nathan Inkawhich Randolph Linderman Yiran Chen Xue Yang OODD 185 69 0 07 Jun 2021
Exploring the Limits of Out-of-Distribution DetectionNeural Information Processing Systems (NeurIPS), 2021 Stanislav Fort Jie Jessie Ren Balaji Lakshminarayanan 288 385 0 06 Jun 2021
Learning Transferable Visual Models From Natural Language SupervisionInternational Conference on Machine Learning (ICML), 2021 Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 1.7K 37,939 0 26 Feb 2021