Bias and Generalization in Deep Generative Models: An Empirical Study

8 November 2018

Papers citing "Bias and Generalization in Deep Generative Models: An Empirical Study"

28 / 28 papers shown

Title
Simulating the Emergence of Differential Case Marking with Communicating Neural-Network Agents Yuchen Lian Arianna Bisazza Tessa Verhoef AI4CE 79 0 0 06 Feb 2025
Compositional Generalization Requires More Than Disentangled Representations Qiyao Liang Daoyuan Qian Liu Ziyin Ila Fiete DRL OCL CoGe 136 0 0 30 Jan 2025
PFGuard: A Generative Framework with Privacy and Fairness Safeguards Soyeon Kim Yuji Roh Geon Heo Steven Euijong Whang 39 0 0 03 Oct 2024
HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts Hongjun Wang S. Vaze Kai Han 74 4 0 08 Aug 2024
Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations Justin Deschenaux Igor Krawczuk Grigorios G. Chrysos V. Cevher DiffM 52 3 0 29 May 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 56 17 0 28 Feb 2024
ITI-GEN: Inclusive Text-to-Image Generation Cheng Zhang Xuanbai Chen Siqi Chai Chen Henry Wu Dmitry Lagun Thabo Beeler Fernando de la Torre VLM 35 52 0 11 Sep 2023
Vector-based Representation is the Key: A Study on Disentanglement and Compositional Generalization Tao Yang Yuwang Wang Cuiling Lan Yan Lu Nanning Zheng OCL CoGe DRL 36 7 0 29 May 2023
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization Q. Gao Zilong Li Junping Zhang Yi Zhang Hongming Shan DiffM MedIm 33 49 0 04 Apr 2023
Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases Aengus Lynch G. Dovonon Jean Kaddour Ricardo M. A. Silva 191 30 0 09 Mar 2023
Star-Shaped Denoising Diffusion Probabilistic Models Andrey Okhotin Dmitry Molchanov V. Arkhipkin Grigory Bartosh Viktor Ohanesian Aibek Alanov Dmitry Vetrov DiffM 40 12 0 10 Feb 2023
A supplemental investigation of non-linearity in quantum generative models with respect to simulatability and optimization Kaitlin Gili Rohan S. Kumar Mykolas Sveistrys C. Ballance 34 3 0 01 Feb 2023
Towards Better Long-range Time Series Forecasting using Generative Forecasting Shiyu Liu Rohan Ghosh Mehul Motani AI4TS 99 2 0 09 Dec 2022
Task Discovery: Finding the Tasks that Neural Networks Generalize on Andrei Atanov Andrei Filatov Teresa Yeo Ajay Sohmshetty Amir Zamir OOD 45 10 0 01 Dec 2022
Generated Faces in the Wild: Quantitative Comparison of Stable Diffusion, Midjourney and DALL-E 2 Ali Borji DiffM 85 121 0 02 Oct 2022
Generalization Gap in Amortized Inference Mingtian Zhang Peter Hayes David Barber BDL CML DRL 45 14 0 23 May 2022
On PAC-Bayesian reconstruction guarantees for VAEs Badr-Eddine Chérief-Abdellatif Yuyang Shi Arnaud Doucet Benjamin Guedj DRL 50 17 0 23 Feb 2022
Generalization Metrics for Practical Quantum Advantage in Generative Models Kaitlin Gili M. Mauri A. Perdomo-Ortiz 38 7 0 21 Jan 2022
Multi-Attribute Balanced Sampling for Disentangled GAN Controls Perla Doubinsky Nicolas Audebert M. Crucianu Hervé Le Borgne DRL 27 7 0 28 Oct 2021
Toward Spatially Unbiased Generative Models Jooyoung Choi Jungbeom Lee Yonghyun Jeong Sungroh Yoon DiffM 30 17 0 03 Aug 2021
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 56 6,972 0 06 Oct 2020
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations Markos Georgopoulos Grigorios G. Chrysos M. Pantic Yannis Panagakis GAN DRL 19 19 0 09 Sep 2020
High Resolution Zero-Shot Domain Adaptation of Synthetically Rendered Face Images Stephan J. Garbin Marek Kowalski Matthew W. Johnson Jamie Shotton 3DH 33 9 0 26 Jun 2020
On Disentangled Representations Learned From Correlated Data Frederik Trauble Elliot Creager Niki Kilbertus Francesco Locatello Andrea Dittadi Anirudh Goyal Bernhard Schölkopf Stefan Bauer OOD CML 29 115 0 14 Jun 2020
Imperfect ImaGANation: Implications of GANs Exacerbating Biases on Facial Data Augmentation and Snapchat Selfie Lenses Niharika Jain Alberto Olmo Hernandez Sailik Sengupta L. Manikonda S. Kambhampati 47 38 0 26 Jan 2020
Rate-Regularization and Generalization in VAEs Alican Bozkurt Babak Esmaeili Jean-Baptiste Tristan Dana H. Brooks Jennifer G. Dy Jan-Willem van de Meent DRL 25 7 0 11 Nov 2019
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting Aditya Grover Jiaming Song Alekh Agarwal Kenneth Tran Ashish Kapoor Eric Horvitz Stefano Ermon 26 123 0 23 Jun 2019
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 308 2,890 0 15 Sep 2016