Vikas Verma
14 papers · 2018–2025 · 9 venues · across top CS/AI venues
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representation learning
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feature learning
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Papers
Can Out-of-Domain Data Help to Learn Domain-Specific Prompts for Multimodal Misinformation Detection?
WACV 2025
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
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
GraphMix: Improved Training of GNNs for Semi-Supervised Learning
AAAI 2021
Interpolation-Based Semi-Supervised Learning for Object Detection
CVPR 2021
Towards Domain-Agnostic Contrastive Learning
ICML 2021
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
ICLR 2020
SketchTransfer: A New Dataset for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks
WACV 2020
Interpolation Consistency Training for Semi-supervised Learning
IJCAI 2019
Manifold Mixup: Better Representations by Interpolating Hidden States
ICML 2019
On Adversarial Mixup Resynthesis
NeurIPS 2019
Residual Connections Encourage Iterative Inference
ICLR 2018