VV
Vinay Kumar Verma
cs.CVcs.LGstat.MLcs.AIcs.CLcs.IRcs.MMeess.IV
On Valency
published · living versionsW_4z64q4yn·v1 · currentpublished
MUON-RT Reusing the Teacher's Trajectory for Momentum-Free Muon for LLM Self-Distillation
with Aryan Das, Aakansha Mishra
1 version
Preprints & journals
42 papers in the corpus · 2017–2026Function-Space Temporal Self-Distillation for Policy Optimization2610.19687v1 · Aryan Das, Arnab Bhattacharya, Vinay Kumar Verma2026 · 0 citationsarXiv
SALD: Self-Referenced Advantage Learning for Diffusion Models2610.01496v2 · Aryan Das, Surjo Dey, Koushik Biswas et al.2026 · 0 citationsarXiv
Source-Free Controlled Adaptation of Teachers for Continual Test-Time Adaptation2607.23735v1 · Anurag Roy, Riddhiman Moulick, Vinay Kumar Verma et al.2026 · 0 citationsarXiv
UNITY: Attention Flow Networks for Adaptive Conditioning in Diffusion2606.20971v2 · Aryan Das, Koushik Biswas, Moloud Abdar et al.2026 · 0 citationsarXiv
FOCUS: Forcing In-Context Object Localization through Visual Support Constraints and Policy Optimization2605.31145v1 · Mohammed Asad Karim, Vinay Kumar Verma2026 · 0 citationsarXiv
Uncertainty-Aware Vision-Language Segmentation for Medical Imaging2602.14498v2 · Aryan Das, Tanishq Rachamalla, Koushik Biswas et al.2026 · 0 citationsarXiv
Efficient Text-Guided Convolutional Adapter for the Diffusion Model2602.14514v2 · Aryan Das, Koushik Biswas, Swalpa Kumar Roy et al.2026 · 0 citationsarXiv
Rethinking Test Time Scaling for Flow-Matching Generative Models2511.22242v3 · Qingtao Yu, Changlin Song, Minghao Sun et al.2025 · 0 citationsarXiv
TaTToo: Tool-Grounded Thinking PRM for Test-Time Scaling in Tabular Reasoning2510.06217v1 · Jiaru Zou, Soumya Roy, Vinay Kumar Verma et al.2025 · 1 citationarXiv
NOVO: Unlearning-Compliant Vision Transformers2507.03281v1 · Soumya Roy, Soumya Banerjee, Vinay Verma et al.2025 · 0 citationsarXiv
HyperCap: Hyperspectral Land Cover Captioning Dataset for Vision Language Models2505.12217v3 · Aryan Das, Tanishq Rachamalla, Pravendra Singh et al.2025 · 3 citationsarXiv
MoEMoE: Question Guided Dense and Scalable Sparse Mixture-of-Expert for Multi-source Multi-modal Answering2503.06296v1 · Vinay Kumar Verma, Shreyas Sunil Kulkarni, Happy Mittal et al.2025 · 2 citationsarXiv
Resource Efficient Perception for Vision Systems2405.07166v1 · A V Subramanyam, Niyati Singal, Vinay K Verma2024 · 1 citationarXiv
Reliable or Deceptive? Investigating Gated Features for Smooth Visual Explanations in CNNs2404.19341v1 · Soham Mitra, Atri Sukul, Swalpa Kumar Roy et al.2024 · 0 citationsarXiv
Convolutional Prompting meets Language Models for Continual Learning2403.20317v1 · Anurag Roy, Riddhiman Moulick, Vinay K. Verma et al.2024 · 26 citationsarXiv
Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning2312.01167v1 · Vinay K Verma, Nikhil Mehta, Kevin J Liang et al.2023 · 10 citationsarXiv
Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning2312.01188v1 · Soumya Roy, Vinay K Verma, Deepak Gupta2023 · 5 citationsarXiv
VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference2309.08227v2 · Soumya Banerjee, Vinay K. Verma, Avideep Mukherjee et al.2023 · 3 citationsarXiv
Exemplar-Free Continual Transformer with Convolutions2308.11357v1 · Anurag Roy, Vinay Kumar Verma, Sravan Voonna et al.2023 · 11 citationsarXiv
Streaming LifeLong Learning With Any-Time Inference2301.11892v1 · Soumya Banerjee, Vinay Kumar Verma, Vinay P. Namboodiri2023 · 2 citationsarXiv
Pushing the Efficiency Limit Using Structured Sparse Convolutions2210.12818v1 · Vinay Kumar Verma, Nikhil Mehta, Shijing Si et al.2022 · 4 citationsarXiv
Class Incremental Online Streaming Learning2110.10741v1 · Soumya Banerjee, Vinay Kumar Verma, Toufiq Parag et al.2021 · 2 citationsarXiv
Hypernetworks for Continual Semi-Supervised Learning2110.01856v1 · Dhanajit Brahma, Vinay Kumar Verma, Piyush Rai2021 · 9 citationsarXiv
Knowledge Consolidation based Class Incremental Online Learning with Limited Data2106.06795v1 · Mohammed Asad Karim, Vinay Kumar Verma, Pravendra Singh et al.2021 · 1 citationarXiv
Efficient Feature Transformations for Discriminative and Generative Continual Learning2103.13558v1 · Vinay Kumar Verma, Kevin J Liang, Nikhil Mehta et al.2021 · 63 citationsarXiv
CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks2103.04032v2 · Sakshi Varshney, Vinay Kumar Verma, Srijith P K et al.2021 · 11 citationsarXiv
Meta-Learned Attribute Self-Gating for Continual Generalized Zero-Shot Learning2102.11856v1 · Vinay Kumar Verma, Kevin Liang, Nikhil Mehta et al.2021 · 5 citationsarXiv
Towards Zero-Shot Learning with Fewer Seen Class Examples2011.07279v1 · Vinay Kumar Verma, Ashish Mishra, Anubha Pandey et al.2020 · 16 citationsarXiv
ZSCRGAN: A GAN-based Expectation Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions2007.12212v3 · Anurag Roy, Vinay Kumar Verma, Kripabandhu Ghosh et al.2020 · 6 citationsarXiv
Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors2004.10098v3 · Nikhil Mehta, Kevin J Liang, Vinay K Verma et al.2020 · 21 citationsarXiv
Stacked Adversarial Network for Zero-Shot Sketch based Image Retrieval2001.06657v1 · Anubha Pandey, Ashish Mishra, Vinay Kumar Verma et al.2020 · 37 citationsarXiv
A "Network Pruning Network" Approach to Deep Model Compression2001.05545v1 · Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri et al.2020 · 2 citationsarXiv
A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation1906.03038v3 · Varun Khare, Divyat Mahajan, Homanga Bharadhwaj et al.2019 · 21 citationsarXiv
Play and Prune: Adaptive Filter Pruning for Deep Model Compression1905.04446v1 · Pravendra Singh, Vinay Kumar Verma, Piyush Rai et al.2019 · 9 citationsarXiv
Generative Model for Zero-Shot Sketch-Based Image Retrieval1904.08542v1 · Vinay Kumar Verma, Aakansha Mishra, Ashish Mishra et al.2019 · 30 citationsarXiv
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs1903.04120v2 · Pravendra Singh, Vinay Kumar Verma, Piyush Rai et al.2019 · 29 citationsarXiv
Leveraging Filter Correlations for Deep Model Compression1811.10559v2 · Pravendra Singh, Vinay Kumar Verma, Piyush Rai et al.2018 · 29 citationsarXiv
A Generative Approach to Zero-Shot and Few-Shot Action Recognition1801.09086v1 · Ashish Mishra, Vinay Kumar Verma, M Shiva Krishna Reddy et al.2018 · 145 citationsarXiv
Generalized Zero-Shot Learning via Synthesized Examples1712.03878v5 · Vinay Kumar Verma, Gundeep Arora, Ashish Mishra et al.2017 · 497 citationsarXiv
DCT-domain Deep Convolutional Neural Networks for Multiple JPEG Compression Classification1712.02313v1 · Vinay Verma, Nikita Agarwal, Nitin Khanna2017 · 51 citationsarXiv
Zero-Shot Learning via Class-Conditioned Deep Generative Models1711.05820v2 · Wenlin Wang, Yunchen Pu, Vinay Kumar Verma et al.2017 · 132 citationsarXiv
A Simple Exponential Family Framework for Zero-Shot Learning1707.08040v3 · Vinay Kumar Verma, Piyush Rai2017 · 208 citationsarXiv
Career total: 62 works. 42 are in this corpus.
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