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Bias and Generalization in Deep Generative Models: An Empirical Study

Bias and Generalization in Deep Generative Models: An Empirical Study

Neural Information Processing Systems (NeurIPS), 2018
8 November 2018
Shengjia Zhao
Hongyu Ren
Arianna Yuan
Jiaming Song
Noah D. Goodman
Stefano Ermon
    AI4CE
ArXiv (abs)PDFHTML

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

35 / 85 papers shown
Title
Generalization Gap in Amortized Inference
Generalization Gap in Amortized InferenceNeural Information Processing Systems (NeurIPS), 2022
Mingtian Zhang
Peter Hayes
David Barber
BDLCMLDRL
277
14
0
23 May 2022
Power of Quantum Generative Learning
Power of Quantum Generative Learning
Yuxuan Du
Zhuozhuo Tu
Bujiao Wu
Xiao Yuan
Dacheng Tao
AI4CE
218
9
0
10 May 2022
On PAC-Bayesian reconstruction guarantees for VAEs
On PAC-Bayesian reconstruction guarantees for VAEsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Badr-Eddine Chérief-Abdellatif
Yuyang Shi
Arnaud Doucet
Benjamin Guedj
DRL
196
21
0
23 Feb 2022
Self-Conditioned Generative Adversarial Networks for Image Editing
Self-Conditioned Generative Adversarial Networks for Image Editing
Yunzhe Liu
Rinon Gal
Amit H. Bermano
Baoquan Chen
Daniel Cohen-Or
GAN
163
6
0
08 Feb 2022
Generalization Metrics for Practical Quantum Advantage in Generative
  Models
Generalization Metrics for Practical Quantum Advantage in Generative ModelsPhysical Review Applied (Phys. Rev. Appl.), 2022
Kaitlin Gili
M. Mauri
A. Perdomo-Ortiz
256
9
0
21 Jan 2022
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Zhisheng Xiao
Karsten Kreis
Arash Vahdat
DiffM
391
661
0
15 Dec 2021
Pseudo-Spherical Contrastive Divergence
Pseudo-Spherical Contrastive DivergenceNeural Information Processing Systems (NeurIPS), 2021
Lantao Yu
Jiaming Song
Yang Song
Stefano Ermon
209
7
0
01 Nov 2021
Multi-Attribute Balanced Sampling for Disentangled GAN Controls
Multi-Attribute Balanced Sampling for Disentangled GAN ControlsPattern Recognition Letters (PR), 2021
Perla Doubinsky
Nicolas Audebert
M. Crucianu
Hervé Le Borgne
DRL
185
9
0
28 Oct 2021
Scaling Laws for the Few-Shot Adaptation of Pre-trained Image
  Classifiers
Scaling Laws for the Few-Shot Adaptation of Pre-trained Image Classifiers
Gabriele Prato
Simon Guiroy
Ethan Caballero
Irina Rish
Sarath Chandar
VLM
207
12
0
13 Oct 2021
Variational Disentanglement for Domain Generalization
Variational Disentanglement for Domain Generalization
Yufei Wang
Haoliang Li
Hao Cheng
Bihan Wen
Lap-Pui Chau
Alex C. Kot
OODDRL
218
34
0
13 Sep 2021
Toward Spatially Unbiased Generative Models
Toward Spatially Unbiased Generative Models
Jooyoung Choi
Jungbeom Lee
Yonghyun Jeong
Sungroh Yoon
DiffM
418
17
0
03 Aug 2021
Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent
  Biases
Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent BiasesNeural Information Processing Systems (NeurIPS), 2021
Shashi Kant Gupta
Mengmi Zhang
Chia-Chien Wu
J. Wolfe
Gabriel Kreiman
ObjD
126
22
0
05 Jun 2021
Local Disentanglement in Variational Auto-Encoders Using Jacobian $L_1$
  Regularization
Local Disentanglement in Variational Auto-Encoders Using Jacobian L1L_1L1​ RegularizationNeural Information Processing Systems (NeurIPS), 2021
Travers Rhodes
Daniel D. Lee
DRL
169
21
0
05 Jun 2021
CoPE: Conditional image generation using Polynomial Expansions
CoPE: Conditional image generation using Polynomial ExpansionsNeural Information Processing Systems (NeurIPS), 2021
Grigorios G. Chrysos
Markos Georgopoulos
Yannis Panagakis
DiffM
200
12
0
11 Apr 2021
Automated and Autonomous Experiment in Electron and Scanning Probe
  Microscopy
Automated and Autonomous Experiment in Electron and Scanning Probe Microscopy
Sergei V. Kalinin
M. Ziatdinov
Jacob D. Hinkle
S. Jesse
Ayana Ghosh
K. Kelley
A. Lupini
B. Sumpter
Rama K Vasudevan
153
3
0
22 Mar 2021
Negative Data Augmentation
Negative Data AugmentationInternational Conference on Learning Representations (ICLR), 2021
Abhishek Sinha
Kumar Ayush
Jiaming Song
Burak Uzkent
Hongxia Jin
Stefano Ermon
237
82
0
09 Feb 2021
Anomaly Detection of Time Series with Smoothness-Inducing Sequential
  Variational Auto-Encoder
Anomaly Detection of Time Series with Smoothness-Inducing Sequential Variational Auto-EncoderIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Longyuan Li
Junchi Yan
Haiyang Wang
Yaohui Jin
BDLAI4TS
186
174
0
02 Feb 2021
Improving the Fairness of Deep Generative Models without Retraining
Improving the Fairness of Deep Generative Models without Retraining
Shuhan Tan
Yujun Shen
Bolei Zhou
345
66
0
09 Dec 2020
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit ModelsInternational Conference on Learning Representations (ICLR), 2020
Jiaming Song
Chenlin Meng
Stefano Ermon
VLMDiffM
1.4K
10,037
0
06 Oct 2020
Multilinear Latent Conditioning for Generating Unseen Attribute
  Combinations
Multilinear Latent Conditioning for Generating Unseen Attribute CombinationsInternational Conference on Machine Learning (ICML), 2020
Markos Georgopoulos
Grigorios G. Chrysos
Maja Pantic
Yannis Panagakis
GANDRL
168
18
0
09 Sep 2020
A Systematic Survey of Regularization and Normalization in GANs
A Systematic Survey of Regularization and Normalization in GANs
Wandi Qiao
Muhammad Usman
Rentuo Tao
Pengfei Xia
Xintian Wu
Huanhuan Chen
Bin Li
531
69
0
19 Aug 2020
High Resolution Zero-Shot Domain Adaptation of Synthetically Rendered
  Face Images
High Resolution Zero-Shot Domain Adaptation of Synthetically Rendered Face Images
Stephan J. Garbin
Marek Kowalski
Matthew W. Johnson
Jamie Shotton
3DH
276
9
0
26 Jun 2020
Neural Decomposition: Functional ANOVA with Variational Autoencoders
Neural Decomposition: Functional ANOVA with Variational Autoencoders
Kaspar Märtens
C. Yau
DRL
125
12
0
25 Jun 2020
Extrapolatable Relational Reasoning With Comparators in Low-Dimensional
  Manifolds
Extrapolatable Relational Reasoning With Comparators in Low-Dimensional Manifolds
Duo Wang
M. Jamnik
Pietro Lio
OOD
156
1
0
15 Jun 2020
On Disentangled Representations Learned From Correlated Data
On Disentangled Representations Learned From Correlated DataInternational Conference on Machine Learning (ICML), 2020
Frederik Trauble
Elliot Creager
Niki Kilbertus
Francesco Locatello
Andrea Dittadi
Anirudh Goyal
Bernhard Schölkopf
Stefan Bauer
OODCML
243
127
0
14 Jun 2020
Compositionality and Generalization in Emergent Languages
Compositionality and Generalization in Emergent LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Rahma Chaabouni
Eugene Kharitonov
Diane Bouchacourt
Emmanuel Dupoux
Marco Baroni
CoGeAI4CE
210
152
0
20 Apr 2020
Imperfect ImaGANation: Implications of GANs Exacerbating Biases on
  Facial Data Augmentation and Snapchat Selfie Lenses
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
251
38
0
26 Jan 2020
Rate-Regularization and Generalization in VAEs
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
319
8
0
11 Nov 2019
Conditional Denoising of Remote Sensing Imagery Using Cycle-Consistent
  Deep Generative Models
Conditional Denoising of Remote Sensing Imagery Using Cycle-Consistent Deep Generative Models
M. Zotov
Jevgenij Gamper
DiffM
99
6
0
31 Oct 2019
Understanding the Limitations of Variational Mutual Information
  Estimators
Understanding the Limitations of Variational Mutual Information EstimatorsInternational Conference on Learning Representations (ICLR), 2019
Jiaming Song
Stefano Ermon
SSLDRL
242
231
0
14 Oct 2019
On the Anomalous Generalization of GANs
On the Anomalous Generalization of GANs
Jinchen Xuan
Yunchang Yang
Ze Yang
Di He
Liwei Wang
118
3
0
27 Sep 2019
Controlling biases and diversity in diverse image-to-image translation
Controlling biases and diversity in diverse image-to-image translationComputer Vision and Image Understanding (CVIU), 2019
Yaxing Wang
Abel Gonzalez-Garcia
Joost van de Weijer
Luis Herranz
141
6
0
23 Jul 2019
Bias Correction of Learned Generative Models using Likelihood-Free
  Importance Weighting
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
163
130
0
23 Jun 2019
Encoding Invariances in Deep Generative Models
Encoding Invariances in Deep Generative Models
Viraj Shah
Ameya Joshi
Sambuddha Ghosal
B. Pokuri
Soumik Sarkar
Baskar Ganapathysubramanian
Chinmay Hegde
PINNGAN
152
31
0
04 Jun 2019
Learning Robotic Manipulation through Visual Planning and Acting
Learning Robotic Manipulation through Visual Planning and Acting
Angelina Wang
Thanard Kurutach
Kara Liu
Pieter Abbeel
Aviv Tamar
115
118
0
11 May 2019
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