Abhishek Kumar

发表

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

Abhishek Kumar, Prasanna Sattigeri, Tom Fletcher, 2017, NIPS.

Learning Task Grouping and Overlap in Multi-task Learning

Hal Daumé, Abhishek Kumar, Hal Daumé, 2012, ICML.

Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification

Yu Cheng, Tara Javidi, Rogério Schmidt Feris, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

A Binary Classification Framework for Two-Stage Multiple Kernel Learning

Koray Kavukcuoglu, Hal Daumé, Alexandru Niculescu-Mizil, 2012, ICML.

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

Vikas Sindhwani, Prabhanjan Kambadur, Abhishek Kumar, 2012, ICML.

A Co-training Approach for Multi-view Spectral Clustering

Hal Daumé, Abhishek Kumar, Hal Daumé, 2011, ICML.

Local Group Invariant Representations via Orbit Embeddings pdf

Bernhard Schölkopf, Youssef Mroueh, Anant Raj, 2016, AISTATS.

Frustratingly Easy Semi-Supervised Domain Adaptation

Daumé, Abhishek Kumar, A. Saha, 2010 .

Emergency Communication Application for Speech and Hearing-Impaired Citizens

Abhishek Kumar, S. Thelijjagoda, Dhara Dewasurendra, 2020, 2020 From Innovation to Impact (FITI).

Weakly Supervised Disentanglement with Guarantees

Ben Poole, S. Ermon, Rui Shu, 2019, ICLR.

Environment mismatch compensation using average eigenspace-based methods for robust speech recognition

Abhishek Kumar, J. Hansen, P. Angkititrakul, 2014, International Journal of Speech Technology.

SpotTune: Transfer Learning Through Adaptive Fine-Tuning

Rogério Schmidt Feris, Tajana Simunic, Honghui Shi, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Delta-encoder: an effective sample synthesis method for few-shot object recognition

Rogério Schmidt Feris, Alexander M. Bronstein, Raja Giryes, 2018, NeurIPS.

BlockDrop: Dynamic Inference Paths in Residual Networks

Larry S. Davis, Rogério Schmidt Feris, Kristen Grauman, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Near-separable Non-negative Matrix Factorization with ℓ1 and Bregman Loss Functions

Vikas Sindhwani, Abhishek Kumar, V. Sindhwani, 2013, SDM.

Co-regularized Multi-view Spectral Clustering

Hal Daumé, Piyush Rai, Abhishek Kumar, 2011, NIPS.

Hate speech recognition in multilingual text: hinglish documents

Shivani, Abhishek Kumar, A. Yadav, 2023, International Journal of Information Technology.

Variational Inference of Disentangled Latent Concepts from Unlabeled Observations pdf

Abhishek Kumar, Avinash Balakrishnan, Prasanna Sattigeri, 2017, ICLR.

Co-regularization Based Semi-supervised Domain Adaptation

Avishek Saha, Hal Daumé, Abhishek Kumar, 2010, NIPS.

Mixed-Effects Shape Models for Estimating Longitudinal Changes in Anatomy

Guido Gerig, Ross T. Whitaker, P. Thomas Fletcher, 2012, STIA.

Regularized Autoencoders via Relaxed Injective Probability Flow

Abhishek Kumar, Ben Poole, Kevin Murphy, 2020, AISTATS.

Learning with Multiple Similarities

Abhishek Kumar, Abhishek Kumar, 2013 .

Generalized Multiview Analysis: A discriminative latent space

David W. Jacobs, Hal Daumé, Abhishek Sharma, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

The Riemannian Geometry of Deep Generative Models

P. Thomas Fletcher, Abhishek Kumar, Hang Shao, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Co-regularized Alignment for Unsupervised Domain Adaptation

Rogério Schmidt Feris, Gregory W. Wornell, William T. Freeman, 2018, NeurIPS.

Transfer Learning Approach on Bacteria Classification from Microscopic Images

Abhishek Kumar, Anupam Singh, Sanjiv Kumar Jain, 2022, 2022 5th International Conference on Contemporary Computing and Informatics (IC3I).

S3Pool: Pooling with Stochastic Spatial Sampling

Yu Cheng, Hui Wu, Rogério Schmidt Feris, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Co-regularized Spectral Clustering with Multiple Kernels

Piyush Rai, Abhishek Kumar, Abhishek Kumar, 2010 .

Comparative Study of Seq2Seq and Transformer Model for Chat Bot

Abhishek Kumar, Nipun Bansal, A. Singh, 2023, 2023 IEEE 3rd International Conference on Software Engineering and Artificial Intelligence (SEAI).

Refined $\alpha$-Divergence Variational Inference via Rejection Sampling

Abhishek Kumar, Piyush Rai, Rahul Sharma, 2019, 1909.07627.

Exact and Heuristic Algorithms for Semi-Nonnegative Matrix Factorization pdf

Nicolas Gillis, Abhishek Kumar, Nicolas Gillis, 2014, SIAM J. Matrix Anal. Appl..

Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression

Hal Daumé, Piyush Rai, Abhishek Kumar, 2012, NIPS.

Environment mismatch compensation using average eigenspace-based methods for robust speech recognition

John H. L. Hansen, Abhishek Kumar, Pongtep Angkititrakul, 2014, International Journal of Speech Technology.

Understanding Unequal Gender Classification Accuracy from Face Images pdf

Brian Kingsbury, Kush R. Varshney, Aleksandra Mojsilovic, 2018, ArXiv.