Out-of-Distribution Learning with Human Feedback

14 August 2024

Yixuan Li

Papers citing "Out-of-Distribution Learning with Human Feedback"

50 / 61 papers shown

Title
Deep Active Learning in the Open World Tian Xie Jifan Zhang Haoyue Bai R. Nowak VLM 412 3 0 10 Nov 2024
Process Reward Model with Q-Value Rankings W. Li Yixuan Li LRM 133 25 0 15 Oct 2024
AHA: Human-Assisted Out-of-Distribution Generalization and Detection Haoyue Bai Jifan Zhang Robert Nowak 135 6 0 10 Oct 2024
HYPO: Hyperspherical Out-of-Distribution Generalization Yifei Ming Haoyue Bai Julian Katz-Samuels Yixuan Li OODD OOD 77 10 0 12 Feb 2024
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization Haonan Yuan Qingyun Sun Xingcheng Fu Ziwei Zhang Cheng Ji Hao Peng Jianxin Li OOD 89 22 0 18 Nov 2023
Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization Jun-Gyu Park Dong-Jun Han Soyeong Kim Jaekyun Moon OOD TTA 97 12 0 08 Jun 2023
Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization Yimeng Chen Tianyang Hu Fengwei Zhou Zhenguo Li Zhiming Ma 62 12 0 05 Jun 2023
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection Marc Lafon Elias Ramzi Clément Rambour Nicolas Thome OODD 96 10 0 26 May 2023
Forgetful Active Learning with Switch Events: Efficient Sampling for Out-of-Distribution Data Ryan Benkert Mohit Prabhushankar Ghassan AlRegib OODD OOD 55 9 0 12 Jan 2023
Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors Qixun Wang Yifei Wang Hong Zhu Yisen Wang OOD 49 20 0 13 Oct 2022
Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios Xueying Zhan Zeyu Dai Qingzhong Wang Qing Li Haoyi Xiong Dejing Dou Antoni B. Chan OODD 41 3 0 04 Jul 2022
POEM: Out-of-Distribution Detection with Posterior Sampling Yifei Ming Ying Fan Yixuan Li OODD 86 117 0 28 Jun 2022
Making Look-Ahead Active Learning Strategies Feasible with Neural Tangent Kernels Mohamad Amin Mohamadi Wonho Bae Danica J. Sutherland 67 21 0 25 Jun 2022
Active Data Discovery: Mining Unknown Data using Submodular Information Measures Suraj Kothawade Shivang Chopra Saikat Ghosh Rishabh K. Iyer 46 4 0 17 Jun 2022
Out-of-Distribution Detection with Deep Nearest Neighbors Yiyou Sun Yifei Ming Xiaojin Zhu Yixuan Li OODD 206 529 0 13 Apr 2022
Continual Test-Time Domain Adaptation Qin Wang Olga Fink Luc Van Gool Dengxin Dai OOD TTA 109 431 0 25 Mar 2022
Conditional Prompt Learning for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VLM CLIP VPVLM 141 1,356 0 10 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 106 92 0 08 Mar 2022
Active Learning at the ImageNet Scale Z. Emam Hong-Min Chu Ping Yeh-Chiang W. Czaja R. Leapman Micah Goldblum Tom Goldstein 69 35 0 25 Nov 2021
Deep Active Learning by Leveraging Training Dynamics Haonan Wang Wei Huang Ziwei Wu A. Margenot Hanghang Tong Jingrui He AI4CE 56 34 0 16 Oct 2021
Can multi-label classification networks know what they don't know? Haoran Wang Weitang Liu Alex E. Bocchieri Yixuan Li OODD 143 127 0 29 Sep 2021
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 505 2,409 0 02 Sep 2021
Batch Active Learning at Scale Gui Citovsky Giulia DeSalvo Claudio Gentile Lazaros Karydas Anand Rajagopalan Afshin Rostamizadeh Sanjiv Kumar 64 156 0 29 Jul 2021
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios Suraj Kothawade Nathan Beck Krishnateja Killamsetty Rishabh K. Iyer 52 106 0 01 Jul 2021
Towards a Theoretical Framework of Out-of-Distribution Generalization Haotian Ye Chuanlong Xie Tianle Cai Ruichen Li Zhenguo Li Liwei Wang OODD OOD 100 112 0 08 Jun 2021
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization Nanyang Ye Kaican Li Haoyue Bai Runpeng Yu Lanqing Hong Fengwei Zhou Zhenguo Li Jun Zhu CML OOD 80 110 0 07 Jun 2021
SelfReg: Self-supervised Contrastive Regularization for Domain Generalization Daehee Kim Seunghyun Park Jinkyu Kim Jaekoo Lee OOD SSL 127 272 0 20 Apr 2021
Domain Generalization: A Survey Kaiyang Zhou Ziwei Liu Yu Qiao Tao Xiang Chen Change Loy OOD AI4CE 254 1,019 0 03 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 975 29,810 0 26 Feb 2021
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation Haoyue Bai Rui Sun Lanqing Hong Fengwei Zhou Nanyang Ye Han-Jia Ye Shueng-Han Gary Chan Zhenguo Li OOD OODD CML 74 79 0 17 Dec 2020
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 227 1,445 0 14 Dec 2020
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings Viraj Prabhu Arjun Chandrasekaran Kate Saenko Judy Hoffman OOD 142 128 0 16 Oct 2020
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 271 1,371 0 08 Oct 2020
Heterogeneous Domain Generalization via Domain Mixup Yufei Wang Haoliang Li Alex C. Kot OOD 57 144 0 11 Sep 2020
A Survey of Deep Active Learning Pengzhen Ren Yun Xiao Xiaojun Chang Po-Yao (Bernie) Huang Zhihui Li Brij B. Gupta Xiaojiang Chen Xin Wang 106 1,149 0 30 Aug 2020
Self-Challenging Improves Cross-Domain Generalization Zeyi Huang Haohan Wang Eric Xing Dong Huang OOD 93 632 0 05 Jul 2020
In Search of Lost Domain Generalization Ishaan Gulrajani David Lopez-Paz OOD 91 1,156 0 02 Jul 2020
Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks Agustinus Kristiadi Matthias Hein Philipp Hennig BDL UQCV 88 289 0 24 Feb 2020
Invariant Risk Minimization Games Kartik Ahuja Karthikeyan Shanmugam Kush R. Varshney Amit Dhurandhar OOD 74 251 0 11 Feb 2020
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization Shiori Sagawa Pang Wei Koh Tatsunori B. Hashimoto Percy Liang OOD 108 1,248 0 20 Nov 2019
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 195 2,242 0 05 Jul 2019
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds Jordan T. Ash Chicheng Zhang A. Krishnamurthy John Langford Alekh Agarwal BDL UQCV 88 777 0 09 Jun 2019
Active Adversarial Domain Adaptation Jong-Chyi Su Yi-Hsuan Tsai Kihyuk Sohn Buyu Liu Subhransu Maji Manmohan Chandraker 62 139 0 16 Apr 2019
Exploring Representativeness and Informativeness for Active Learning Bo Du Zengmao Wang Lefei Zhang Liangpei Zhang Wen Liu Jialie Shen Dacheng Tao 41 173 0 14 Apr 2019
A Simple Baseline for Bayesian Uncertainty in Deep Learning Wesley J. Maddox T. Garipov Pavel Izmailov Dmitry Vetrov A. Wilson BDL UQCV 96 809 0 07 Feb 2019
Diverse mini-batch Active Learning Fedor Zhdanov 59 155 0 17 Jan 2019
Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem Matthias Hein Maksym Andriushchenko Julian Bitterwolf OODD 172 559 0 13 Dec 2018
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 183 1,487 0 11 Dec 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin OODD 192 2,062 0 10 Jul 2018
Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations Dan Hendrycks Thomas G. Dietterich OOD 82 202 0 04 Jul 2018