Vikas Verma
14 papers · 2018–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (5) π Academic Marathon (7) π Conference Polyglot (9) πΊοΈ Taxonomy Completionist (28)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Conference Polyglot
(9)
π
Grand Slam
π
Conference Pioneer
π
Century Club
(14)
ποΈ
Keyword Collector
(54)
β
The Questioner
π₯
Unstoppable
(6)
Conferences
WACV (3)
AAAI (2)
ICLR (2)
ICML (2)
CVPR (1)
IJCAI (1)
JMLR (1)
NIPS (1)
UAI (1)
Top co-authors
Keywords
semi-supervised learning
(4)
domain adaptation
(3)
representation learning
(3)
data augmentation
(2)
interpolation regularization
(2)
convolutional neural network
(2)
adversarial robustness
(1)
feature learning
(1)
contrastive learning
(1)
synthetic data generation
(1)
symbolic reasoning
(1)
theorem proving
(1)
self-supervised learning
(1)
object detection
(1)
image translation
(1)
transfer learning
(1)
multimodal learning
(1)
automated reasoning
(1)
language modeling
(1)
domain generalization
(1)
Papers
FRAUD-Net: Fraud News Detection using Sample Uncertainty & Domain Aware Generalized Network
WACV 2025
Gold-medalist Performance in Solving Olympiad Geometry with AlphaGeometry2
JMLR 2025
Can Out-of-Domain Data Help to Learn Domain-Specific Prompts for Multimodal Misinformation Detection?
WACV 2025
MixupE: Understanding and improving Mixup from directional derivative perspective
UAI 2023
PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks
AAAI 2022
Towards Domain-Agnostic Contrastive Learning
ICML 2021
GraphMix: Improved Training of GNNs for Semi-Supervised Learning
AAAI 2021
Interpolation-Based Semi-Supervised Learning for Object Detection
CVPR 2021
SketchTransfer: A New Dataset for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks
WACV 2020
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
ICLR 2020
Interpolation Consistency Training for Semi-supervised Learning
IJCAI 2019
On Adversarial Mixup Resynthesis
NIPS 2019
Manifold Mixup: Better Representations by Interpolating Hidden States
ICML 2019
Residual Connections Encourage Iterative Inference
ICLR 2018