Vikas Verma

Orcid: 0000-0002-4911-4709

According to our database1, Vikas Verma authored at least 33 papers between 1992 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Analyzing and Classifying Malware Types on Windows Platform using an Ensemble Machine Learning Approach.
Int. J. Perform. Eng., 2024

2023
Leveraging Out-of-Domain Data for Domain-Specific Prompt Tuning in Multi-Modal Fake News Detection.
CoRR, 2023

MixupE: Understanding and improving Mixup from directional derivative perspective.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022
Critical Analysis of Existing Punjabi Grammar Checker and a Proposed Hybrid Framework Involving Machine Learning and Rule-Base Criteria.
ACM Trans. Asian Low Resour. Lang. Inf. Process., September, 2022

Interpolation consistency training for semi-supervised learning.
Neural Networks, 2022

Interpolated Adversarial Training: Achieving robust neural networks without sacrificing too much accuracy.
Neural Networks, 2022

MixupE: Understanding and Improving Mixup from Directional Derivative Perspective.
CoRR, 2022

CNT (Conditioning on Noisy Targets): A new Algorithm for Leveraging Top-Down Feedback.
CoRR, 2022

PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Towards Domain-Agnostic Contrastive Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Interpolation-Based Semi-Supervised Learning for Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

GraphMix: Improved Training of GNNs for Semi-Supervised Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Algorithms for Data-Efficient Training of Deep Neural Networks.
PhD thesis, 2020

Towards Domain-Agnostic Contrastive Learning.
CoRR, 2020

PatchUp: A Regularization Technique for Convolutional Neural Networks.
CoRR, 2020

SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning.
CoRR, 2019

Towards Understanding Generalization in Gradient-Based Meta-Learning.
CoRR, 2019

Interpolated Adversarial Training: Achieving Robust Neural Networks without Sacrificing Accuracy.
CoRR, 2019

On Adversarial Mixup Resynthesis.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Interpolation Consistency Training for Semi-supervised Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Manifold Mixup: Better Representations by Interpolating Hidden States.
Proceedings of the 36th International Conference on Machine Learning, 2019

Adversarial Mixup Resynthesizers.
Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Interpolated Adversarial Training: Achieving Robust Neural Networks Without Sacrificing Too Much Accuracy.
Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security, 2019

2018
Modularity Matters: Learning Invariant Relational Reasoning Tasks.
CoRR, 2018

Manifold Mixup: Encouraging Meaningful On-Manifold Interpolation as a Regularizer.
CoRR, 2018

Residual Connections Encourage Iterative Inference.
Proceedings of the 6th International Conference on Learning Representations, 2018

2014
Image Retrieval And Classification Using Local Feature Vectors.
CoRR, 2014

2005
Hand Gesture Reconstruction and Animation.
Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005

2004
QoS Based Pricing for Web Services.
Proceedings of the Web Information Systems, 2004

1992
A Fair Basis For Charge Back.
Proceedings of the 18th International Computer Measurement Group Conference, 1992

A Meaningful Measure of Response Time for SLA.
Proceedings of the 18th International Computer Measurement Group Conference, 1992


  Loading...