AHA: Human-Assisted Out-of-Distribution Generalization and Detection

10 October 2024

Robert Nowak

Papers citing "AHA: Human-Assisted Out-of-Distribution Generalization and Detection"

48 / 48 papers shown

Title
Going Beyond Conventional OOD Detection Sudarshan Regmi OODD 106 1 0 16 Nov 2024
Deep Active Learning in the Open World Tian Xie Jifan Zhang Haoyue Bai R. Nowak VLM 405 3 0 10 Nov 2024
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
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
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
Out-of-Distribution Detection with Deep Nearest Neighbors Yiyou Sun Yifei Ming Xiaojin Zhu Yixuan Li OODD 200 529 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
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
Batch Active Learning at Scale Gui Citovsky Giulia DeSalvo Claudio Gentile Lazaros Karydas Anand Rajagopalan Afshin Rostamizadeh Sanjiv Kumar 62 156 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
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 248 1,019 0 03 Mar 2021
SWAD: Domain Generalization by Seeking Flat Minima Junbum Cha Sanghyuk Chun Kyungjae Lee Han-Cheol Cho Seunghyun Park Yunsung Lee Sungrae Park MoMe 301 458 0 17 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 71 79 0 17 Dec 2020
The Risks of Invariant Risk Minimization Elan Rosenfeld Pradeep Ravikumar Andrej Risteski OOD 86 312 0 12 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
A Brief Review of Domain Adaptation Abolfazl Farahani Sahar Voghoei Khaled Rasheed H. Arabnia OOD 56 545 0 07 Oct 2020
Heterogeneous Domain Generalization via Domain Mixup Yufei Wang Haoliang Li Alex C. Kot OOD 57 144 0 11 Sep 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
An Empirical Process Approach to the Union Bound: Practical Algorithms for Combinatorial and Linear Bandits Julian Katz-Samuels Lalit P. Jain Zohar Karnin Kevin Jamieson 161 67 0 21 Jun 2020
Learning to Learn Single Domain Generalization Fengchun Qiao Long Zhao Xi Peng OOD 130 443 0 30 Mar 2020
Deep Domain-Adversarial Image Generation for Domain Generalisation Kaiyang Zhou Yongxin Yang Timothy M. Hospedales Tao Xiang OOD 299 411 0 12 Mar 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
Discriminative Active Learning Daniel Gissin Shai Shalev-Shwartz 58 178 0 15 Jul 2019
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 195 2,242 0 05 Jul 2019
Sequential Experimental Design for Transductive Linear Bandits Tanner Fiez Lalit P. Jain Kevin Jamieson Lillian J. Ratliff 72 109 0 20 Jun 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
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 170 559 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 82 200 0 04 Jul 2018
Adversarial Active Learning for Deep Networks: a Margin Based Approach Mélanie Ducoffe F. Precioso GAN AAML 138 276 0 27 Feb 2018
Domain Generalization by Marginal Transfer Learning Gilles Blanchard A. Deshmukh Ürün Dogan Gyemin Lee Clayton Scott OOD 99 286 0 21 Nov 2017
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 289 9,803 0 25 Oct 2017
Learning to Generalize: Meta-Learning for Domain Generalization Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales OOD 102 1,427 0 10 Oct 2017
Deeper, Broader and Artier Domain Generalization Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales OOD 124 1,451 0 09 Oct 2017
Deep Bayesian Active Learning with Image Data Y. Gal Riashat Islam Zoubin Ghahramani BDL UQCV 73 1,739 0 08 Mar 2017
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 168 3,472 0 07 Oct 2016
Deep CORAL: Correlation Alignment for Deep Domain Adaptation Baochen Sun Kate Saenko OOD 105 3,165 0 06 Jul 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 351 8,000 0 23 May 2016
Efficient and Parsimonious Agnostic Active Learning Tzu-Kuo Huang Alekh Agarwal Daniel J. Hsu John Langford Robert Schapire 134 47 0 29 Jun 2015
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 390 9,515 0 28 May 2015
Unsupervised Domain Adaptation by Backpropagation Yaroslav Ganin Victor Lempitsky OOD 235 6,041 0 26 Sep 2014
Describing Textures in the Wild Mircea Cimpoi Subhransu Maji Iasonas Kokkinos S. Mohamed Andrea Vedaldi 3DV 144 2,689 0 14 Nov 2013