Bias Correction of Learned Generative Models using Likelihood-Free
Importance Weighting

Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting

23 June 2019

Papers citing "Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting"

17 / 17 papers shown

Title
Disentangling Fine-Tuning from Pre-Training in Visual Captioning with Hybrid Markov Logic Monika Shah Somdeb Sarkhel Deepak Venugopal MLLM BDL VLM 81 0 0 18 Mar 2025
Binary Losses for Density Ratio Estimation Werner Zellinger 48 0 0 28 Jan 2025
Is novelty predictable? Clara Fannjiang Jennifer Listgarten AI4CE 10 14 0 01 Jun 2023
Debiasing Vision-Language Models via Biased Prompts Ching-Yao Chuang Varun Jampani Yuanzhen Li Antonio Torralba Stefanie Jegelka VLM 23 96 0 31 Jan 2023
Counterfactually Measuring and Eliminating Social Bias in Vision-Language Pre-training Models Yi Zhang Junyan Wang Jitao Sang 14 27 0 03 Jul 2022
A Contrastive Approach to Online Change Point Detection Artur Goldman Nikita Puchkin Valeriia Shcherbakova Uliana Vinogradova 8 5 0 21 Jun 2022
RankGen: Improving Text Generation with Large Ranking Models Kalpesh Krishna Yapei Chang John Wieting Mohit Iyyer AIMat 16 68 0 19 May 2022
FairStyle: Debiasing StyleGAN2 with Style Channel Manipulations Cemre Karakas Alara Dirik Eylül Yalçınkaya Pinar Yanardag 17 29 0 13 Feb 2022
A Survey of Controllable Text Generation using Transformer-based Pre-trained Language Models Hanqing Zhang Haolin Song Shaoyu Li Ming Zhou Dawei Song 38 213 0 14 Jan 2022
Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence Tianshi Cao Alex Bie Arash Vahdat Sanja Fidler Karsten Kreis SyDa DiffM 9 71 0 01 Nov 2021
AI Fairness via Domain Adaptation Neil J. Joshi Philippe Burlina 13 15 0 15 Mar 2021
Pretrained Transformers as Universal Computation Engines Kevin Lu Aditya Grover Pieter Abbeel Igor Mordatch 13 216 0 09 Mar 2021
Residual Energy-Based Models for Text Generation Yuntian Deng A. Bakhtin Myle Ott Arthur Szlam MarcÁurelio Ranzato 13 125 0 22 Apr 2020
Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator Yuxuan Song Qiwei Ye Minkai Xu Tie-Yan Liu 15 8 0 05 Apr 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,652 0 05 Dec 2016
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 65 389 0 20 Oct 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015