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Mitigating Dataset Bias by Using Per-sample Gradient

31 May 2022

Papers citing "Mitigating Dataset Bias by Using Per-sample Gradient"

50 / 66 papers shown

Title
Learning Debiased Classifier with Biased Committee Nayeong Kim Sehyun Hwang SungSoo Ahn Jaesik Park Suha Kwak CML 71 57 0 22 Jun 2022
Rich Feature Construction for the Optimization-Generalization Dilemma Jianyu Zhang David Lopez-Paz Léon Bottou 42 41 0 24 Mar 2022
UDIS: Unsupervised Discovery of Bias in Deep Visual Recognition Models Arvindkumar Krishnakumar Tong He Shengji Tang Judy Hoffman 59 31 0 29 Oct 2021
Simple data balancing achieves competitive worst-group-accuracy Badr Youbi Idrissi Martín Arjovsky Mohammad Pezeshki David Lopez-Paz 115 182 0 27 Oct 2021
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 276 350 0 01 Oct 2021
BiaSwap: Removing dataset bias with bias-tailored swapping augmentation Eungyeup Kim Jihyeon Janel Lee Jaegul Choo 66 88 0 23 Aug 2021
Unsupervised Learning of Debiased Representations with Pseudo-Attributes Seonguk Seo Joon-Young Lee Bohyung Han FaML 104 50 0 06 Aug 2021
Just Train Twice: Improving Group Robustness without Training Group Information Emmy Liu Behzad Haghgoo Annie S. Chen Aditi Raghunathan Pang Wei Koh Shiori Sagawa Percy Liang Chelsea Finn OOD 94 562 0 19 Jul 2021
Learning Debiased Representation via Disentangled Feature Augmentation Jungsoo Lee Eungyeup Kim Juyoung Lee Jihyeon Janel Lee Jaegul Choo CML 60 155 0 03 Jul 2021
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning Krishnateja Killamsetty Xujiang Zhao F. Chen Rishabh K. Iyer 75 84 0 14 Jun 2021
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers Yujia Bao Shiyu Chang Regina Barzilay 74 21 0 26 May 2021
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization Damien Teney Ehsan Abbasnejad Simon Lucey Anton Van Den Hengel 100 90 0 12 May 2021
Discover the Unknown Biased Attribute of an Image Classifier Zhiheng Li Chenliang Xu 64 50 0 29 Apr 2021
Explaining in Style: Training a GAN to explain a classifier in StyleSpace Oran Lang Yossi Gandelsman Michal Yarom Yoav Wald G. Elidan ... William T. Freeman Phillip Isola Amir Globerson Michal Irani Inbar Mosseri GAN 112 154 0 27 Apr 2021
Improved and efficient inter-vehicle distance estimation using road gradients of both ego and target vehicles Robik Shrestha Jinkyu Lee Kushal Kafle S. Hwang Il Yong Chun 54 1 0 01 Apr 2021
EnD: Entangling and Disentangling deep representations for bias correction Enzo Tartaglione C. Barbano Marco Grangetto 78 124 0 02 Mar 2021
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training Krishnateja Killamsetty D. Sivasubramanian Ganesh Ramakrishnan A. De Rishabh K. Iyer OOD 147 205 0 27 Feb 2021
GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning Krishnateja Killamsetty D. Sivasubramanian Ganesh Ramakrishnan Rishabh Iyer University of Texas at Dallas 74 211 0 19 Dec 2020
Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D Ankit Goyal Kaiyu Yang Dawei Yang Jia Deng 80 42 0 03 Dec 2020
Fair Attribute Classification through Latent Space De-biasing V. V. Ramaswamy Sunnie S. Y. Kim Olga Russakovsky 57 164 0 02 Dec 2020
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems N. Sohoni Jared A. Dunnmon Geoffrey Angus Albert Gu Christopher Ré 77 252 0 25 Nov 2020
Latent Adversarial Debiasing: Mitigating Collider Bias in Deep Neural Networks L. N. Darlow Stanisław Jastrzębski Amos Storkey 124 24 0 19 Nov 2020
Environment Inference for Invariant Learning Elliot Creager J. Jacobsen R. Zemel OOD 61 383 0 14 Oct 2020
Why resampling outperforms reweighting for correcting sampling bias with stochastic gradients Jing An Lexing Ying Yuhua Zhu 99 40 0 28 Sep 2020
Swapping Autoencoder for Deep Image Manipulation Taesung Park Jun-Yan Zhu Oliver Wang Jingwan Lu Eli Shechtman Alexei A. Efros Richard Y. Zhang 104 335 0 01 Jul 2020
The Pitfalls of Simplicity Bias in Neural Networks Harshay Shah Kaustav Tamuly Aditi Raghunathan Prateek Jain Praneeth Netrapalli AAML 69 361 0 13 Jun 2020
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data Yen-Chang Hsu Yilin Shen Hongxia Jin Z. Kira OODD 98 573 0 26 Feb 2020
Adversarial Filters of Dataset Biases Ronan Le Bras Swabha Swayamdipta Chandra Bhagavatula Rowan Zellers Matthew E. Peters Ashish Sabharwal Yejin Choi 103 223 0 10 Feb 2020
Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias Krishna Kumar Singh D. Mahajan Kristen Grauman Yong Jae Lee Matt Feiszli Deepti Ghadiyaram 63 109 0 09 Jan 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 1,243 0 20 Nov 2019
Learning De-biased Representations with Biased Representations Hyojin Bahng Sanghyuk Chun Sangdoo Yun Jaegul Choo Seong Joon Oh OOD 382 281 0 07 Oct 2019
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases Christopher Clark Mark Yatskar Luke Zettlemoyer OOD 76 466 0 09 Sep 2019
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 192 2,241 0 05 Jul 2019
RUBi: Reducing Unimodal Biases in Visual Question Answering Rémi Cadène Corentin Dancette H. Ben-younes Matthieu Cord Devi Parikh CML 99 373 0 24 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 88 776 0 09 Jun 2019
Characterizing Bias in Classifiers using Generative Models Daniel J. McDuff Shuang Ma Yale Song Ashish Kapoor 64 47 0 30 May 2019
REPAIR: Removing Representation Bias by Dataset Resampling Yi Li Nuno Vasconcelos FaML 73 287 0 16 Apr 2019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations Dan Hendrycks Thomas G. Dietterich OOD VLM 188 3,445 0 28 Mar 2019
Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet Wieland Brendel Matthias Bethge SSL FAtt 96 561 0 20 Mar 2019
Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification Daniel Borkan Lucas Dixon Jeffrey Scott Sorensen Nithum Thain Lucy Vasserman 88 491 0 11 Mar 2019
Learning Robust Representations by Projecting Superficial Statistics Out Haohan Wang Zexue He Zachary Chase Lipton Eric Xing OOD 70 235 0 02 Mar 2019
Learning Not to Learn: Training Deep Neural Networks with Biased Data Byungju Kim Hyunwoo Kim Kyungsu Kim Sungjin Kim Junmo Kim OOD 59 410 0 26 Dec 2018
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 593 10,561 0 12 Dec 2018
Deep Learning for Classical Japanese Literature Tarin Clanuwat Mikel Bober-Irizar A. Kitamoto Alex Lamb Kazuaki Yamamoto David R Ha 108 710 0 03 Dec 2018
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Robert Geirhos Patricia Rubisch Claudio Michaelis Matthias Bethge Felix Wichmann Wieland Brendel 105 2,672 0 29 Nov 2018
Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings Mohsan S. Alvi Andrew Zisserman C. Nellåker FaML 123 248 0 06 Sep 2018
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels Zhilu Zhang M. Sabuncu NoLa 83 2,608 0 20 May 2018
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 227 1,102 0 06 Mar 2018
Not All Samples Are Created Equal: Deep Learning with Importance Sampling Angelos Katharopoulos François Fleuret 95 522 0 02 Mar 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Leland McInnes John Healy James Melville 178 9,460 0 09 Feb 2018