Towards Explaining Distribution Shifts

19 October 2022

David I. Inouye

Papers citing "Towards Explaining Distribution Shifts"

28 / 28 papers shown

Title
Revealing the Intrinsic Ethical Vulnerability of Aligned Large Language Models Jiawei Lian Jianhong Pan L. Wang Yi Wang Shaohui Mei Lap-Pui Chau AAML 78 0 0 07 Apr 2025
Counterfactual Fairness by Combining Factual and Counterfactual Predictions Zeyu Zhou Tianci Liu Ruqi Bai Jing Gao Murat Kocaoglu David I. Inouye 76 2 0 03 Sep 2024
Distributional Counterfactual Explanations With Optimal Transport Lei You Lele Cao Mattias Nilsson Bo Zhao Lei Lei OT OffRL 80 1 0 23 Jan 2024
Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests Sean Kulinski S. Bagchi David I. Inouye OOD 37 27 0 14 Jul 2021
A Survey on Optimal Transport for Machine Learning: Theory and Applications Luis Caicedo Torres Luiz Manella Pereira M. Amini OOD OT 51 47 0 03 Jun 2021
Why did the distribution change? Kailash Budhathoki Dominik Janzing Patrick Bloebaum Hoiyi Ng 21 44 0 26 Feb 2021
Unified Shapley Framework to Explain Prediction Drift Aalok Shanbhag A. Ghosh Josh Rubin FAtt FedML AI4TS 35 3 0 15 Feb 2021
Image-to-Image Translation: Methods and Applications Yingxue Pang Jianxin Lin Tao Qin Zhibo Chen VLM 56 265 0 21 Jan 2021
Counterfactual Generative Networks Axel Sauer Andreas Geiger OOD BDL CML 76 124 0 15 Jan 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 151 1,418 0 14 Dec 2020
Learning Model-Agnostic Counterfactual Explanations for Tabular Data Martin Pawelczyk Johannes Haug Klaus Broelemann Gjergji Kasneci OOD CML 58 203 0 21 Oct 2019
Wasserstein-2 Generative Networks Alexander Korotin Vage Egiazarian Arip Asadulaev Alexander Safin Evgeny Burnaev GAN 165 104 0 28 Sep 2019
Optimal transport mapping via input convex neural networks Ashok Vardhan Makkuva Amirhossein Taghvaei Sewoong Oh Jason D. Lee OT 25 199 0 28 Aug 2019
DIVA: Domain Invariant Variational Autoencoders Maximilian Ilse Jakub M. Tomczak Christos Louizos Max Welling DRL OOD 58 200 0 24 May 2019
Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification Daniel Borkan Lucas Dixon Jeffrey Scott Sorensen Nithum Thain Lucy Vasserman 61 484 0 11 Mar 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 513 10,500 0 12 Dec 2018
Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift Stephan Rabanser Stephan Günnemann Zachary Chase Lipton 52 363 0 29 Oct 2018
Sample Complexity of Sinkhorn divergences Aude Genevay Lénaïc Chizat Francis R. Bach Marco Cuturi Gabriel Peyré OT 58 283 0 05 Oct 2018
Computational Optimal Transport Gabriel Peyré Marco Cuturi OT 149 2,133 0 01 Mar 2018
Detecting and Correcting for Label Shift with Black Box Predictors Zachary Chase Lipton Yu Wang Alex Smola OOD 51 548 0 12 Feb 2018
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation Yunjey Choi Min-Je Choi M. Kim Jung-Woo Ha Sunghun Kim Jaegul Choo GAN 103 3,547 0 24 Nov 2017
Learning Disentangled Representations with Semi-Supervised Deep Generative Models Siddharth Narayanaswamy Brooks Paige Jan-Willem van de Meent Alban Desmaison Noah D. Goodman Pushmeet Kohli Frank Wood Philip Torr DRL CoGe 113 359 0 01 Jun 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 645 21,613 0 22 May 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 354 3,742 0 28 Feb 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 225 19,796 0 07 Oct 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.5K 192,638 0 10 Dec 2015
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 219 8,351 0 28 Nov 2014
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 148 4,210 0 04 Jun 2013