Vinay Kumar Verma
Duke University
H-index: 17
North America-United States
Top articles of Vinay Kumar Verma
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
CoD: Coherent detection of entities from images with multiple modalities | Vinay Verma Dween Sanny Abhishek Singh Deepak Gupta | 2024 | |
Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning | WACV, 2024 | Vinay K Verma Nikhil Mehta Kevin J Liang Aakansha Mishra Lawrence Carin | 2024 |
Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning | WACV, 2024 | Soumya Roy Vinay K Verma Deepak Gupta | 2024 |
Verse: Virtual-gradient aware streaming lifelong learning with anytime inference | To appear in ICRA 2024 | Soumya Banerjee Vinay K Verma Avideep Mukherjee Deepak Gupta Vinay P Namboodiri | 2023/9/15 |
Convolutional Prompting meets Language Models for Continual Learning | arXiv preprint arXiv:2403.20317 | Anurag Roy Riddhiman Moulick Vinay K Verma Saptarshi Ghosh Abir Das | 2024/3/29 |
Streaming LifeLong Learning With Any-Time Inference | Soumya Banerjee Vinay Kumar Verma Vinay P Namboodiri | 2023/5/29 | |
SkiLL: Skipping Color and Label Landscape: self supervised design representations for products in e-commerce | Vinay K Verma Dween Rabius Sanny Shreyas Sunil Kulkarni Prateek Sircar Abhishek Singh | 2023 | |
Exemplar-Free Continual Transformer with Convolutions | Anurag Roy Vinay K Verma Sravan Voonna Kripabandhu Ghosh Saptarshi Ghosh | 2023 | |
Refinement matters: Textual description needs to be refined for zero-shot learning | Chandan Gautam Sethupathy Parameswaran Vinay Verma Suresh Sundaram Savitha Ramasamy | 2022/12 | |
Pushing the Efficiency Limit Using Structured Sparse Convolutions | WACV, 2023 | Vinay Kumar Verma Nikhil Mehta Shijing Si Ricardo Henao Lawrence Carin | 2022/10/23 |
Meta-Learned Attribute Self-Gating for Continual Generalized Zero-Shot Learning | arXiv preprint arXiv:2102.11856 | Vinay Kumar Verma Kevin Liang Nikhil Mehta Lawrence Carin | 2021 |
Hypernetworks for Continual Semi-Supervised Learning | Dhanajit Brahma Vinay Kumar Verma Piyush Rai | 2021/10/5 | |
Towards Zero-Shot Learning with Fewer Seen Class Examples | Vinay Kumar Verma Ashish Mishra Anubha Pandey Hema A Murthy Piyush Rai | 2021 | |
Knowledge Consolidation based Class Incremental Online Learning with Limited Data | arXiv preprint arXiv:2106.06795 | Mohammed Asad Karim Vinay Kumar Verma Pravendra Singh Vinay Namboodiri Piyush Rai | 2021/6/12 |
Efficient Feature Transformations for Discriminative and Generative Continual Learning | CVPR 2021 | Vinay Kumar Verma Kevin J Liang Nikhil Mehta Piyush Rai Lawrence Carin | 2021/3/20 |
CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks | Advances in Neural Information Processing Systems | Sakshi Varshney Vinay Kumar Verma PK Srijith Lawrence Carin Piyush Rai | 2021/12/6 |
Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors | Artificial Intelligence and Statistics, San Diego, CA, USA | Nikhil Mehta Kevin J Liang Vinay Kumar Verma Lawrence Carin | 2021 |
Class Incremental Online Streaming Learning | arXiv preprint arXiv:2110.10741 | Soumya Banerjee Vinay Kumar Verma Toufiq Parag Maneesh Singh Vinay P Namboodiri | 2021/10/20 |
Leveraging filter correlations for deep model compression | Pravendra Singh Vinay Verma Piyush Rai Vinay Namboodiri | 2019 | |
ZSCRGAN: A GAN-based Expectation Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions | Anurag Roy Vinay Kumar Verma Kripabandhu Ghosh Saptarshi Ghosh | 2020/10/19 |
Co-Authors
