Prototype Based Classification from Hierarchy to Fairness

27 May 2022

Papers citing "Prototype Based Classification from Hierarchy to Fairness"

23 / 23 papers shown

Title
What if This Modified That? Syntactic Interventions via Counterfactual Embeddings Mycal Tucker Peng Qian R. Levy 58 39 0 28 May 2021
Leveraging Class Hierarchies with Metric-Guided Prototype Learning Vivien Sainte Fare Garnot Loic Landrieu 164 37 0 06 Jul 2020
APo-VAE: Text Generation in Hyperbolic Space Shuyang Dai Zhe Gan Yu Cheng Chenyang Tao Lawrence Carin Jingjing Liu BDL GAN DRL 41 34 0 30 Apr 2020
FR-Train: A Mutual Information-Based Approach to Fair and Robust Training Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 85 79 0 24 Feb 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 510 10,591 0 17 Feb 2020
Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks Luca Bertinetto Romain Mueller Konstantinos Tertikas Sina Samangooei Nicholas A. Lord OOD 183 137 0 19 Dec 2019
Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods Dylan Slack Sophie Hilgard Emily Jia Sameer Singh Himabindu Lakkaraju FAtt AAML MLAU 81 821 0 06 Nov 2019
Wasserstein Fair Classification Ray Jiang Aldo Pacchiano T. Stepleton Heinrich Jiang Silvia Chiappa 69 181 0 28 Jul 2019
Interpretable Image Recognition with Hierarchical Prototypes Peter Hase Chaofan Chen Oscar Li Cynthia Rudin VLM 83 112 0 25 Jun 2019
GANalyze: Toward Visual Definitions of Cognitive Image Properties L. Goetschalckx A. Andonian A. Oliva Phillip Isola FAtt GAN 82 314 0 24 Jun 2019
Hyperspherical Prototype Networks Pascal Mettes Elise van der Pol Cees G. M. Snoek 80 126 0 29 Jan 2019
Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders Emile Mathieu Charline Le Lan Chris J. Maddison Ryota Tomioka Yee Whye Teh BDL DRL 80 178 0 17 Jan 2019
This Looks Like That: Deep Learning for Interpretable Image Recognition Chaofan Chen Oscar Li Chaofan Tao A. Barnett Jonathan Su Cynthia Rudin 250 1,188 0 27 Jun 2018
Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV) Been Kim Martin Wattenberg Justin Gilmer Carrie J. Cai James Wexler F. Viégas Rory Sayres FAtt 232 1,850 0 30 Nov 2017
Deep Learning for Case-Based Reasoning through Prototypes: A Neural Network that Explains Its Predictions Oscar Li Hao Liu Chaofan Chen Cynthia Rudin 178 592 0 13 Oct 2017
B-CNN: Branch Convolutional Neural Network for Hierarchical Classification Xinqi Zhu Michael Bain 166 152 0 28 Sep 2017
Controllable Invariance through Adversarial Feature Learning Qizhe Xie Zihang Dai Yulun Du Eduard H. Hovy Graham Neubig OOD 94 293 0 31 May 2017
Poincaré Embeddings for Learning Hierarchical Representations Maximilian Nickel Douwe Kiela 95 1,310 0 22 May 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 22,018 0 22 May 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,033 0 16 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015
The Variational Fair Autoencoder Christos Louizos Kevin Swersky Yujia Li Max Welling R. Zemel DRL 223 636 0 03 Nov 2015
You Only Look Once: Unified, Real-Time Object Detection Joseph Redmon S. Divvala Ross B. Girshick Ali Farhadi ObjD 721 37,020 0 08 Jun 2015