Abhishek Kumar
Abhishek Kumar
Google Brain
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Title
Cited by
Cited by
Year
Co-regularized multi-view spectral clustering
A Kumar, P Rai, H Daume
Advances in neural information processing systems (NIPS), 1413-1421, 2011
7262011
Generalized multiview analysis: A discriminative latent space
A Sharma, A Kumar, H Daume, DW Jacobs
2012 IEEE Conference on Computer Vision and Pattern Recognition, 2160-2167, 2012
6052012
A co-training approach for multi-view spectral clustering
A Kumar, H Daumé
Proceedings of the 28th international conference on machine learning (ICML …, 2011
5922011
Learning task grouping and overlap in multi-task learning
A Kumar, H Daume III
Proceedings of the 29th International Coference on Machine Learning (ICML), 2012
3972012
Frustratingly easy semi-supervised domain adaptation
H Daumé III, A Kumar, A Saha
Proceedings of the 2010 Workshop on Domain Adaptation for Natural Language …, 2010
1972010
Fully-adaptive feature sharing in multi-task networks with applications in person attribute classification
Y Lu, A Kumar, S Zhai, Y Cheng, T Javidi, R Feris
Proceedings of the IEEE conference on computer vision and pattern …, 2017
1782017
Co-regularization based semi-supervised domain adaptation
A Kumar, A Saha, H Daume
Advances in neural information processing systems (NIPS), 478-486, 2010
1612010
BlockDrop: Dynamic Inference Paths in Residual Networks
Z Wu, T Nagarajan, A Kumar, S Rennie, LS Davis, K Grauman, R Feris
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1562018
Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization
A Kumar, V Sindhwani, P Kambadur
Proceedings of the 30th International Conference on Machine Learning (ICML), 2013
1542013
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations
A Kumar, P Sattigeri, A Balakrishnan
International Conference on Learning Representations (ICLR), 2018
1372018
Delta-encoder: an effective sample synthesis method for few-shot object recognition
E Schwartz, L Karlinsky, J Shtok, S Harary, M Marder, A Kumar, R Feris, ...
Advances in Neural Information Processing Systems, 2845-2855, 2018
862018
Semi-supervised Learning with GANs: Manifold Invariance with Improved Inference
A Kumar, P Sattigeri, T Fletcher
Advances in Neural Information Processing Systems (NIPS), 5540-5550, 2017
792017
Handbook of robust low-rank and sparse matrix decomposition: Applications in image and video processing
T Bouwmans, NS Aybat, E Zahzah
CRC Press, 2016
632016
Simultaneously leveraging output and task structures for multiple-output regression
P Rai, A Kumar, H Daume
Advances in Neural Information Processing Systems (NIPS), 3185-3193, 2012
562012
A Binary Classification Framework for Two-Stage Multiple Kernel Learning
A Kumar, A Niculescu-Mizil, K Kavukcoglu, H Daumé III
Proceedings of the 29th International Conference on Machine Learning (ICML), 2012
562012
Spottune: transfer learning through adaptive fine-tuning
Y Guo, H Shi, A Kumar, K Grauman, T Rosing, R Feris
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
532019
Co-regularized alignment for unsupervised domain adaptation
A Kumar, P Sattigeri, K Wadhawan, L Karlinsky, R Feris, B Freeman, ...
Advances in Neural Information Processing Systems, 9345-9356, 2018
522018
The riemannian geometry of deep generative models
H Shao, A Kumar, P Thomas Fletcher
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
502018
S3pool: Pooling with stochastic spatial sampling
S Zhai, H Wu, A Kumar, Y Cheng, Y Lu, Z Zhang, R Feris
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
332017
Improved semi-supervised learning with gans using manifold invariances
A Kumar, P Sattigeri, PT Fletcher
arXiv preprint arXiv:1705.08850, 2017
312017
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Articles 1–20