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Learning Not to Learn: Training Deep Neural Networks with Biased Data

26 December 2018

Papers citing "Learning Not to Learn: Training Deep Neural Networks with Biased Data"

50 / 130 papers shown

Title
Localized Adversarial Domain Generalization Wei-wei Zhu Le Lu Jing Xiao Mei Han Jiebo Luo Adam P. Harrison OOD 118 24 0 09 May 2022
Unsupervised Learning of Unbiased Visual Representations C. Barbano Enzo Tartaglione Marco Grangetto SSL CML OOD 90 1 0 26 Apr 2022
Neural Contrastive Clustering: Fully Unsupervised Bias Reduction for Sentiment Classification Jared Mowery SSL 112 0 0 22 Apr 2022
Machine Learning and Deep Learning -- A review for Ecologists Maximilian Pichler F. Hartig 145 145 0 11 Apr 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations Polina Kirichenko Pavel Izmailov A. Wilson OOD 125 339 0 06 Apr 2022
Fair Contrastive Learning for Facial Attribute Classification Sungho Park Jewook Lee Pilhyeon Lee Sunhee Hwang D. Kim H. Byun FaML 71 92 0 30 Mar 2022
Addressing Missing Sources with Adversarial Support-Matching T. Kehrenberg Myles Bartlett V. Sharmanska Novi Quadrianto 25 1 0 24 Mar 2022
DeepAD: A Robust Deep Learning Model of Alzheimer's Disease Progression for Real-World Clinical Applications Somaye Hashemifar C. Iriondo Evan Casey Mohsen Hejrati for Alzheimer's Disease Neuroimaging Initiative OOD MedIm 54 3 0 17 Mar 2022
FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis Yawen Wu Dewen Zeng Xiaowei Xu Yiyu Shi Jingtong Hu MedIm 85 52 0 04 Mar 2022
Toward More Generalized Malicious URL Detection Models Yun-Da Tsai Cayon Liow Yin Sheng Siang Shou-De Lin 44 13 0 21 Feb 2022
On Guiding Visual Attention with Language Specification Suzanne Petryk Lisa Dunlap Keyan Nasseri Joseph E. Gonzalez Trevor Darrell Anna Rohrbach VLM 259 32 1 17 Feb 2022
Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment Yuyang Gao Tong Sun Liang Zhao Sungsoo Ray Hong HAI 92 38 0 06 Feb 2022
Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin Lesion Classification Peter J. Bevan Amir Atapour-Abarghouei 69 31 0 06 Feb 2022
Unveiling Project-Specific Bias in Neural Code Models Zhiming Li Yanzhou Li Tianlin Li Mengnan Du Bozhi Wu Yushi Cao Yi Li Yang Liu 86 5 0 19 Jan 2022
General Greedy De-bias Learning Xinzhe Han Shuhui Wang Chi Su Qingming Huang Qi Tian 109 9 0 20 Dec 2021
Anatomizing Bias in Facial Analysis Richa Singh P. Majumdar S. Mittal Mayank Vatsa CVBM 80 24 0 13 Dec 2021
The Box Size Confidence Bias Harms Your Object Detector Johannes Gilg Torben Teepe Fabian Herzog Gerhard Rigoll ObjD 66 4 0 03 Dec 2021
Generalizing electrocardiogram delineation -- Training convolutional neural networks with synthetic data augmentation Guillermo Jiménez-Pérez J. Acosta A. Alcaine Oscar Camara 94 7 0 25 Nov 2021
Continual Learning via Local Module Composition O. Ostapenko Pau Rodríguez López Massimo Caccia Laurent Charlin KELM CLL 119 67 0 15 Nov 2021
Information-Theoretic Bias Assessment Of Learned Representations Of Pretrained Face Recognition Jiazhi Li Wael AbdAlmageed 99 6 0 08 Nov 2021
Algorithmic encoding of protected characteristics in image-based models for disease detection Ben Glocker Charles Jones Mélanie Bernhardt S. Winzeck 94 9 0 27 Oct 2021
Perceptual Score: What Data Modalities Does Your Model Perceive? Itai Gat Idan Schwartz Alex Schwing 99 32 0 27 Oct 2021
Content Preserving Image Translation with Texture Co-occurrence and Spatial Self-Similarity for Texture Debiasing and Domain Adaptation Hao Li Dongkyu Won Wei Lu Philip Chikontwe Pengjun Xie June Hong Ahn Sang Hyun Park 116 37 0 15 Oct 2021
NeuroView: Explainable Deep Network Decision Making C. Barberan Randall Balestriero Richard G. Baraniuk FAtt 51 2 0 15 Oct 2021
Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification P. Bevan Amir Atapour-Abarghouei MU 143 19 0 20 Sep 2021
Adversarial Representation Learning With Closed-Form Solvers Bashir Sadeghi Lan Wang Vishnu Boddeti 64 5 0 12 Sep 2021
IFBiD: Inference-Free Bias Detection Ignacio Serna Daniel DeAlcala Aythami Morales Julian Fierrez J. Ortega-Garcia CVBM 109 11 0 09 Sep 2021
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond Amir Feder Katherine A. Keith Emaad A. Manzoor Reid Pryzant Dhanya Sridhar ... Roi Reichart Margaret E. Roberts Brandon M Stewart Victor Veitch Diyi Yang CML 123 246 0 02 Sep 2021
BiaSwap: Removing dataset bias with bias-tailored swapping augmentation Eungyeup Kim Jihyeon Janel Lee Jaegul Choo 91 89 0 23 Aug 2021
Causal Attention for Unbiased Visual Recognition Tan Wang Chan Zhou Qianru Sun Hanwang Zhang OOD CML 110 114 0 19 Aug 2021
Network Generalization Prediction for Safety Critical Tasks in Novel Operating Domains Molly O'Brien Michael Medoff Julia V. Bukowski Gregory Hager OOD 84 3 0 17 Aug 2021
Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization Wei-wei Zhu Haitian Zheng Haofu Liao Weijian Li Jiebo Luo 149 43 0 11 Aug 2021
Evidential Deep Learning for Open Set Action Recognition Wentao Bao Qi Yu Yu Kong CML EDL 114 141 0 21 Jul 2021
A Survey on Bias in Visual Datasets Simone Fabbrizzi Symeon Papadopoulos Eirini Ntoutsi Y. Kompatsiaris 203 129 0 16 Jul 2021
Learning Debiased Representation via Disentangled Feature Augmentation Jungsoo Lee Eungyeup Kim Juyoung Lee Jihyeon Janel Lee Jaegul Choo CML 92 158 0 03 Jul 2021
Fair Visual Recognition in Limited Data Regime using Self-Supervision and Self-Distillation Pratik Mazumder Pravendra Singh Vinay P. Namboodiri SSL 48 2 0 30 Jun 2021
Fairness via Representation Neutralization Mengnan Du Subhabrata Mukherjee Guanchu Wang Ruixiang Tang Ahmed Hassan Awadallah Helen Zhou 90 81 0 23 Jun 2021
False perfection in machine prediction: Detecting and assessing circularity problems in machine learning Michael Hagmann Stefan Riezler 55 1 0 23 Jun 2021
Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss for Better Single-Source Domain Generalization Thomas Duboudin Emmanuel Dellandrea Corentin Abgrall Gilles Hénaff Liming Chen 52 9 0 15 Jun 2021
Independent Prototype Propagation for Zero-Shot Compositionality Frank Ruis Gertjan J. Burghouts Doina Bucur 73 56 0 01 Jun 2021
About Explicit Variance Minimization: Training Neural Networks for Medical Imaging With Limited Data Annotations Dmitrii Shubin Danny Eytan Sebastian D. Goodfellow 51 1 0 28 May 2021
Robust Semantic Interpretability: Revisiting Concept Activation Vectors J. Pfau A. Young Jerome Wei Maria L. Wei Michael J. Keiser FAtt 58 15 0 06 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 82 1 0 01 Apr 2021
Mixing-AdaSIN: Constructing a De-biased Dataset using Adaptive Structural Instance Normalization and Texture Mixing Myeongkyun Kang Philip Chikontwe Miguel Luna Kyung Soo Hong J. Ahn Sang Hyun Park MedIm 84 2 0 26 Mar 2021
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU Models Mengnan Du Varun Manjunatha R. Jain Ruchi Deshpande Franck Dernoncourt Jiuxiang Gu Tong Sun Helen Zhou 110 107 0 11 Mar 2021
Domain Generalization: A Survey Kaiyang Zhou Ziwei Liu Yu Qiao Tao Xiang Chen Change Loy OOD AI4CE 272 1,044 0 03 Mar 2021
EnD: Entangling and Disentangling deep representations for bias correction Enzo Tartaglione C. Barbano Marco Grangetto 90 125 0 02 Mar 2021
On Calibration and Out-of-domain Generalization Yoav Wald Amir Feder D. Greenfeld Uri Shalit OODD 135 158 0 20 Feb 2021
Counterfactual Generative Networks Axel Sauer Andreas Geiger OOD BDL CML 102 127 0 15 Jan 2021
Conditional Generation of Medical Images via Disentangled Adversarial Inference Mohammad Havaei Ximeng Mao Yiping Wang Qicheng Lao GAN MedIm 90 22 0 08 Dec 2020