On the Learnability of Out-of-distribution Detection

7 April 2024

Bo Han

Papers citing "On the Learnability of Out-of-distribution Detection"

28 / 28 papers shown

Title
Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation Mingxuan Xia Haobo Wang Yixuan Li Zewei Yu Jindong Wang Junbo Zhao Runze Wu 71 1 0 04 Jun 2025
Membership Inference Attack Should Move On to Distributional Statistics for Distilled Generative Models Muxing Li Zesheng Ye Yixuan Li Andy Song Guangquan Zhang Feng Liu 103 3 0 05 Feb 2025
Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the role of model complexity Mouin Ben Ammar David Brellmann Arturo Mendoza Antoine Manzanera Gianni Franchi OODD 96 0 0 04 Nov 2024
Process Reward Model with Q-Value Rankings W. Li Yixuan Li LRM 131 23 0 15 Oct 2024
DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation Changdae Oh Yixuan Li Kyungwoo Song Sangdoo Yun Dongyoon Han OOD MoMe 91 9 0 03 Oct 2024
Your Weak LLM is Secretly a Strong Teacher for Alignment Leitian Tao Yixuan Li 120 8 0 13 Sep 2024
Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment Jiong Wang Jiazhao Li Yiquan Li Xiangyu Qi Junjie Hu Yixuan Li P. McDaniel Muhao Chen Bo Li Chaowei Xiao AAML SILM 95 22 0 22 Feb 2024
How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation? Rheeya Uppaal Yixuan Li Junjie Hu 107 6 0 31 Jan 2024
How Does Fine-Tuning Impact Out-of-Distribution Detection for Vision-Language Models? Yifei Ming Yixuan Li OODD VLM 63 41 0 09 Jun 2023
Distributionally Robust Optimization with Probabilistic Group Soumya Suvra Ghosal Yixuan Li OOD 49 10 0 10 Mar 2023
Delving into Out-of-Distribution Detection with Vision-Language Representations Yifei Ming Ziyan Cai Jiuxiang Gu Yiyou Sun W. Li Yixuan Li VLM OODD 106 170 0 24 Nov 2022
Is Out-of-Distribution Detection Learnable? Zhen Fang Yixuan Li Jie Lu Jiahua Dong Bo Han Feng Liu OODD 118 129 0 26 Oct 2022
Out-of-distribution Detection via Frequency-regularized Generative Models Mu Cai Yixuan Li OODD 48 32 0 18 Aug 2022
Task Agnostic and Post-hoc Unseen Distribution Detection Radhika Dua Seong-sil Yang Yixuan Li Edward Choi OODD 49 11 0 26 Jul 2022
POEM: Out-of-Distribution Detection with Posterior Sampling Yifei Ming Ying Fan Yixuan Li OODD 78 117 0 28 Jun 2022
Mitigating Neural Network Overconfidence with Logit Normalization Hongxin Wei Renchunzi Xie Hao-Ran Cheng Lei Feng Bo An Yixuan Li OODD 220 285 0 19 May 2022
Out-of-Distribution Detection with Deep Nearest Neighbors Yiyou Sun Yifei Ming Xiaojin Zhu Yixuan Li OODD 200 520 0 13 Apr 2022
Are Vision Transformers Robust to Spurious Correlations? Soumya Suvra Ghosal Yifei Ming Yixuan Li ViT 61 34 0 17 Mar 2022
Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild Xuefeng Du Xin Eric Wang Gabriel Gozum Yixuan Li OODD 98 92 0 08 Mar 2022
PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning Haobo Wang Rui Xiao Yixuan Li Lei Feng Gang Niu Gang Chen Jiaqi Zhao VLM 91 31 0 22 Jan 2022
Provable Guarantees for Understanding Out-of-distribution Detection Peyman Morteza Yixuan Li OODD 102 92 0 01 Dec 2021
On the Impact of Spurious Correlation for Out-of-distribution Detection Yifei Ming Hang Yin Yixuan Li OODD 182 75 0 12 Sep 2021
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 271 1,366 0 08 Oct 2020
Model Patching: Closing the Subgroup Performance Gap with Data Augmentation Karan Goel Albert Gu Yixuan Li Christopher Ré 84 121 0 15 Aug 2020
Defense Against Adversarial Images using Web-Scale Nearest-Neighbor Search Abhimanyu Dubey Laurens van der Maaten Zeki Yalniz Yixuan Li D. Mahajan AAML 102 66 0 05 Mar 2019
Exploring the Limits of Weakly Supervised Pretraining D. Mahajan Ross B. Girshick Vignesh Ramanathan Kaiming He Manohar Paluri Yixuan Li Ashwin R. Bharambe Laurens van der Maaten VLM 190 1,368 0 02 May 2018
Snapshot Ensembles: Train 1, get M for free Gao Huang Yixuan Li Geoff Pleiss Zhuang Liu John E. Hopcroft Kilian Q. Weinberger OOD FedML UQCV 134 951 0 01 Apr 2017
Deep Manifold Traversal: Changing Labels with Convolutional Features Jacob R. Gardner P. Upchurch Matt J. Kusner Yixuan Li Kilian Q. Weinberger Kavita Bala John E. Hopcroft 62 67 0 19 Nov 2015