Human-in-the-loop Extraction of Interpretable Concepts in Deep Learning Models

8 August 2021

Papers citing "Human-in-the-loop Extraction of Interpretable Concepts in Deep Learning Models"

7 / 7 papers shown

Title
Interactive Image Selection and Training for Brain Tumor Segmentation Network Matheus A. Cerqueira Flávia Sprenger Bernardo C. A. Teixeira Alexandre X. Falcão 46 3 0 05 Jun 2024
Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation Jessica Quaye Alicia Parrish Oana Inel Charvi Rastogi Hannah Rose Kirk ... Nathan Clement Rafael Mosquera Juan Ciro Vijay Janapa Reddi Lora Aroyo 45 7 0 14 Feb 2024
An Interactive Interpretability System for Breast Cancer Screening with Deep Learning Yuzhe Lu Adam Perer 26 3 0 30 Sep 2022
DendroMap: Visual Exploration of Large-Scale Image Datasets for Machine Learning with Treemaps Donald Bertucci M. Hamid Yashwanthi Anand Anita Ruangrotsakun Delyar Tabatabai Melissa Perez Minsuk Kahng 43 29 0 14 May 2022
ConceptExplainer: Interactive Explanation for Deep Neural Networks from a Concept Perspective Jinbin Huang Aditi Mishra Bum Chul Kwon Chris Bryan FAtt HAI 46 31 0 04 Apr 2022
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 195 742 0 13 Dec 2018
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 189 1,942 0 24 Oct 2016