# Abhishek Kumar

According to our database

Collaborative distances:

^{1}, Abhishek Kumar authored at least 27 papers between 2010 and 2018.Collaborative distances:

## Timeline

#### Legend:

Book In proceedings Article PhD thesis Other## Links

#### On csauthors.net:

## Bibliography

2018

Understanding Unequal Gender Classification Accuracy from Face Images.

CoRR, 2018

Co-regularized Alignment for Unsupervised Domain Adaptation.

CoRR, 2018

Co-regularized Alignment for Unsupervised Domain Adaptation.

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

Variational Inference of Disentangled Latent Concepts from Unlabeled Observations.

Proceedings of the 6th International Conference on Learning Representations, 2018

The Riemannian Geometry of Deep Generative Models.

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

2017

Performance of natural language classifiers in a question-answering system.

IBM Journal of Research and Development, 2017

The Riemannian Geometry of Deep Generative Models.

CoRR, 2017

Variational Inference of Disentangled Latent Concepts from Unlabeled Observations.

CoRR, 2017

Improved Semi-supervised Learning with GANs using Manifold Invariances.

CoRR, 2017

Semi-supervised Learning with GANs: Manifold Invariance with Improved Inference.

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Local Group Invariant Representations via Orbit Embeddings.

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Local Group Invariant Representations via Orbit Embeddings.

CoRR, 2016

Large-scale Submodular Greedy Exemplar Selection with Structured Similarity Matrices.

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Scalable Exemplar Clustering and Facility Location via Augmented Block Coordinate Descent with Column Generation.

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Near-separable Non-negative Matrix Factorization with ℓ

_{1}and Bregman Loss Functions.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

2013

Learning with Multiple Similarities.

PhD thesis, 2013

Near-separable Non-negative Matrix Factorization with ℓ

_{1}- and Bregman Loss Functions.
CoRR, 2013

Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization.

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization

CoRR, 2012

Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression.

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Mixed-Effects Shape Models for Estimating Longitudinal Changes in Anatomy.

Proceedings of the Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, 2012

A Binary Classification Framework for Two-Stage Multiple Kernel Learning.

Proceedings of the 29th International Conference on Machine Learning, 2012

Learning Task Grouping and Overlap in Multi-task Learning.

Proceedings of the 29th International Conference on Machine Learning, 2012

Generalized Multiview Analysis: A discriminative latent space.

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Co-regularized Multi-view Spectral Clustering.

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

A Co-training Approach for Multi-view Spectral Clustering.

Proceedings of the 28th International Conference on Machine Learning, 2011

2010

Co-regularization Based Semi-supervised Domain Adaptation.

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010