Publications

• Hypernetworks for Continual Semi-Supervised Learning

Dhanajit Brahma, VK Verma, Piyush Rai

International Workshop on Continual Semi-Supervised Learning-IJCAI-2021) (Best student paper award)

• Knowledge Consolidation based Class Incremental Online Learning with Limited Data

Mohammed Asad Karim, VK Verma, P Singh, Vinay P. Namboodiri, P Rai

IJCAI-2021

• Efficient Continual Adaptation for Generative Adversarial Networks

S Varshney*, VK Verma*, L Carin, P Rai

NeurIPS-2021

• Efficient Feature Transformations for Discriminative and Generative Incremental Learning

VK Verma, Kevin Liang, Nikhil Mehta, Piyush Rai, Lawrence Carin

CVPR-2021, Online

• Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors

N Mehta, KJ Liang, VK Verma, L Carin

Artificial Intelligence and Statistics (AISTATS), San Diego, CA, USA

• Meta-Learned Attribute Self-Gating for Continual Generalized Zero-Shot Learning

VK Verma, K Liang, N Mehta, L Carin

arXiv preprint arXiv:2102.11856

• Towards Zero-Shot Learning with Fewer Seen Class Examples

VK Verma*, A Mishra*, A Panday, H Murthy A, P Rai

WACV-2021

• Calibrating CNNs for Lifelong Learning

P Singh*, VK Verma*, P Mazumder, L Carin, P Rai

NeurIPS-2020

• Acceleration of Deep Convolutional Neural Networks using Adaptive Filter Pruning

P Singh, VK Verma, P Rai, VP Namboodiri

IEEE Journal of Selected Topics in Signal Processing, 2020

• Meta-learning for generalized zero-shot learning

VK Verma, D Brahma, P Rai

Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6062-6069

• Stacked Adversarial Network for Zero-Shot Sketch-based Image Retrieval

A Pandey, A Mishra, VK Verma, A Mittal, HA Murthy

WACV-2020, Colorado, USA

• A "Network Pruning Network" Approach to Deep Model Compression

VK Verma, P Singh, VP Namboodiri, P Rai

WACV-2020, Colorado, USA

• Leveraging filter correlations for deep model compression

P Singh*, VK Verma*, P Rai, VP Namboodiri

WACV-2020, Colorado, USA

• ZSCRGAN: A GAN-based Expectation-Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions

A Roy, VK Verma, K Ghosh, S Ghosh

CIKM-2020

• A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation

V Khare, D Mahajan, H Bharadhwaj, VK Verma, P Rai

WACV-2020, Colorado, USA

• HetConv: Beyond Homogeneous Convolution Kernels for Deep CNNs

P Singh, VK Verma, P Rai, VP Namboodiri

International Journal of Computer Vision (IJCV), pp 1-21

• HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs

P Singh, VK Verma, P Rai, VP Namboodiri

CVPR-19, Long Beach, CA

• Generative model for zero-shot sketch-based image retrieval

V Kumar Verma, A Mishra, A Mishra, P Rai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops

• Generative model for zero-shot sketch-based image retrieval

VK Verma, A Mishra, A Mishra, P Rai

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

• Adversarial joint-distribution learning for novel class sketch-based image retrieval

A Pandey, A Mishra, V Kumar Verma, A Mittal

ICCV-Workshops (2019), Seoul, Korea, 0-0

• Play and Prune: Adaptive Filter Pruning for Deep Model Compression

P Singh, VK Verma, P Rai, VP Namboodiri

IJCAI-2019, Macao, China