Yogesh Balaji

PhD thesis, 2021

Understanding Overparameterization in Generative Adversarial Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Unsupervised anomaly detection with adversarial mirrored autoencoders.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Understanding Over-parameterization in Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Winning Lottery Tickets in Deep Generative Models.

[BibT_eX]

[DOI]

Neha Mukund Kalibhat

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

The Effectiveness of Memory Replay in Large Scale Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Mirrored Autoencoders with Simplex Interpolation for Unsupervised Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2020

Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Curriculum Manager for Source Selection in Multi-source Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Learning to Balance Specificity and Invariance for In and Out of Domain Generalization.

[BibT_eX]

[DOI]

Prithvijit Chattopadhyay

Judy Hoffman

Proceedings of the Computer Vision - ECCV 2020, 2020

Adversarial Robustness of Flow-Based Generative Models.

[BibT_eX]

[DOI]

Phillip Pope

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Invert and Defend: Model-based Approximate Inversion of Generative Adversarial Networks for Secure Inference.

[BibT_eX]

[DOI]

CoRR, 2019

Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets.

[BibT_eX]

[DOI]

Tom Goldstein

Judy Hoffman

CoRR, 2019

Normalized Wasserstein Distance for Mixture Distributions with Applications in Adversarial Learning and Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2019

Conditional GAN with Discriminative Filter Generation for Text-to-Video Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Normalized Wasserstein for Mixture Distributions With Applications in Adversarial Learning and Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

MetaReg: Towards Domain Generalization using Meta-Regularization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Generate to Adapt: Aligning Domains Using Generative Adversarial Networks.

[BibT_eX]

[DOI]

Carlos Domingo Castillo

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Learning From Synthetic Data: Addressing Domain Shift for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Unsupervised Domain Adaptation for Semantic Segmentation with GANs.

[BibT_eX]

[DOI]

CoRR, 2017

Unrolling the Shutter: CNN to Correct Motion Distortions.

[BibT_eX]

[DOI]

Vijay Rengarajan

A. N. Rajagopalan

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Deep Decoupling of Defocus and Motion Blur for Dynamic Segmentation.

[BibT_eX]

[DOI]

Abhijith Punnappurath