Controlled Training Data Generation with Diffusion Models

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Controlled Training Data Generation with Diffusion Models

22 March 2024

Aleksandr Alekseev

Pooya Esmaeil Akhoondi

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Papers citing "Controlled Training Data Generation with Diffusion Models"

19 / 69 papers shown

Title
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization Shiori Sagawa Pang Wei Koh Tatsunori B. Hashimoto Percy Liang OOD 108 1,247 0 20 Nov 2019
This dataset does not exist: training models from generated images Victor Besnier Himalaya Jain Andrei Bursuc Matthieu Cord P. Pérez DD 44 87 0 07 Nov 2019
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 241 3,503 0 30 Sep 2019
Efficient Pipeline for Camera Trap Image Review Sara Beery Dan Morris Siyu Yang 33 142 0 15 Jul 2019
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 195 2,241 0 05 Jul 2019
The Replica Dataset: A Digital Replica of Indoor Spaces Julian Straub Thomas Whelan Lingni Ma Yufan Chen Erik Wijmans ... H. Strasdat R. D. Nardi Michael Goesele S. Lovegrove Richard Newcombe 3DV 134 857 0 13 Jun 2019
Classification Accuracy Score for Conditional Generative Models Suman V. Ravuri Oriol Vinyals EGVM 82 234 0 26 May 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 620 4,798 0 13 May 2019
On the Convergence of Adam and Beyond Sashank J. Reddi Satyen Kale Surinder Kumar 99 2,504 0 19 Apr 2019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations Dan Hendrycks Thomas G. Dietterich OOD VLM 191 3,445 0 28 Mar 2019
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Robert Geirhos Patricia Rubisch Claudio Michaelis Matthias Bethge Felix Wichmann Wieland Brendel 115 2,672 0 29 Nov 2018
Generalizing to Unseen Domains via Adversarial Data Augmentation Riccardo Volpi Hongseok Namkoong Ozan Sener John C. Duchi Vittorio Murino Silvio Savarese OOD 119 786 0 30 May 2018
AutoAugment: Learning Augmentation Policies from Data E. D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le 133 1,774 0 24 May 2018
Taskonomy: Disentangling Task Transfer Learning Amir Zamir Alexander Sax Bokui (William) Shen Leonidas Guibas Jitendra Malik Silvio Savarese 126 1,221 0 23 Apr 2018
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 282 9,797 0 25 Oct 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 310 12,117 0 19 Jun 2017
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,322 0 10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.9K 77,341 0 18 May 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 306 7,005 0 12 Mar 2015