Vinay Kumar Verma
20 papers · 2018–2026 · 8 venues · across top CS/AI venues
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Achievements
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Top co-authors
Research topics
Machine Learning
(18)
Deep Learning
(14)
Learning Types Β· Machine Learning
(11)
Application Areas
(9)
Artificial Intelligence
(7)
Models
(7)
Architectures
(5)
Learning Types Β· Deep Learning
(5)
Computer Vision
(4)
Core AI
(4)
Optimization & Theory
(4)
Learning Paradigms
(3)
Analysis
(2)
Core Methods
(2)
Domain-Specific
(2)
Keywords
convolutional neural network
(5)
model compression
(5)
continual learning
(4)
catastrophic forgetting
(4)
generative model
(4)
zero-shot learning
(4)
generative adversarial network
(3)
parameter efficiency
(3)
knowledge distillation
(3)
parameter reduction
(2)
class attribute
(2)
variational autoencoder
(2)
filter pruning
(2)
multimodal learning
(2)
class-incremental learning
(2)
few-shot learning
(1)
multi-task learning
(1)
vision transformer
(1)
adversarial learning
(1)
sequence modeling
(1)
Papers
Efficient Text-Guided Convolutional Adapter for the Diffusion Model
WACV 2026
MEDAL: multi-modal MEta-space Distillation and ALignment for Visual Compatibility Learning
WACV 2026
Uncertainty-Aware Vision-Language Segmentation for Medical Imaging
WACV 2026
MoEMoE: Question Guided Dense and Scalable Sparse Mixture-of-Expert for Multi-source Multi-modal Answering
NAACL 2025
VADE: Visual Attention Guided Hallucination Detection and Elimination
ACL 2025
Pushing the Efficiency Limit Using Structured Sparse Convolutions
WACV 2023
CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks
NeurIPS 2021
Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors
AISTATS 2021
Efficient Feature Transformations for Discriminative and Generative Continual Learning
CVPR 2021
Knowledge Consolidation based Class Incremental Online Learning with Limited Data
IJCAI 2021
Towards Zero-Shot Learning With Fewer Seen Class Examples
WACV 2021
A Generative Framework for Zero Shot Learning with Adversarial Domain Adaptation
WACV 2020
A "Network Pruning Network'' Approach to Deep Model Compression
WACV 2020
Calibrating CNNs for Lifelong Learning
NeurIPS 2020
Leveraging Filter Correlations for Deep Model Compression
WACV 2020
Meta-Learning for Generalized Zero-Shot Learning
AAAI 2020
Stacked Adversarial Network for Zero-Shot Sketch based Image Retrieval
WACV 2020
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs
CVPR 2019
Play and Prune: Adaptive Filter Pruning for Deep Model Compression
IJCAI 2019
Generalized Zero-Shot Learning via Synthesized Examples
CVPR 2018