Vikas Verma

Orcid: 0000-0002-4911-4709

According to our database¹, Vikas Verma authored at least 32 papers between 1992 and 2023.

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

2023

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

[BibT_eX]

[DOI]

CoRR, 2023

MixupE: Understanding and improving Mixup from directional derivative perspective.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Vikas Verma

S. K. Sharma

ACM Trans. Asian Low Resour. Lang. Inf. Process., September, 2022

Interpolation consistency training for semi-supervised learning.

[BibT_eX]

[DOI]

Neural Networks, 2022

Interpolated Adversarial Training: Achieving robust neural networks without sacrificing too much accuracy.

[BibT_eX]

[DOI]

Neural Networks, 2022

MixupE: Understanding and Improving Mixup from Directional Derivative Perspective.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

Alexia Jolicoeur-Martineau

Alex Lamb

Vikas Verma

Aniket Didolkar

CoRR, 2022

PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks.

[BibT_eX]

[DOI]

Mojtaba Faramarzi

Mohammad Amini

Akilesh Badrinaaraayanan

Vikas Verma

Sarath Chandar

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Towards Domain-Agnostic Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Interpolation-Based Semi-Supervised Learning for Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

GraphMix: Improved Training of GNNs for Semi-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Algorithms for Data-Efficient Training of Deep Neural Networks.

[BibT_eX]

[DOI]

Vikas Verma

PhD thesis, 2020

Towards Domain-Agnostic Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2020

PatchUp: A Regularization Technique for Convolutional Neural Networks.

[BibT_eX]

[DOI]

Mojtaba Faramarzi

Mohammad Amini

Akilesh Badrinaaraayanan

Vikas Verma

Sarath Chandar

CoRR, 2020

SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Towards Understanding Generalization in Gradient-Based Meta-Learning.

[BibT_eX]

[DOI]

Simon Guiroy

Vikas Verma

Christopher J. Pal

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

On Adversarial Mixup Resynthesis.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Manifold Mixup: Better Representations by Interpolating Hidden States.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Adversarial Mixup Resynthesizers.

[BibT_eX]

[DOI]

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Interpolated Adversarial Training: Achieving Robust Neural Networks Without Sacrificing Too Much Accuracy.

[BibT_eX]

[DOI]

Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security, 2019

2018

Modularity Matters: Learning Invariant Relational Reasoning Tasks.

[BibT_eX]

[DOI]

Jason Jo

Vikas Verma

Yoshua Bengio

CoRR, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

Residual Connections Encourage Iterative Inference.

[BibT_eX]

[DOI]

Stanislaw Jastrzebski

Proceedings of the 6th International Conference on Learning Representations, 2018

2014

Image Retrieval And Classification Using Local Feature Vectors.

[BibT_eX]

[DOI]

Vikas Verma

CoRR, 2014

2005

Hand Gesture Reconstruction and Animation.

[BibT_eX]

Vikas Verma

D. Ghosh

Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005

2004

QoS Based Pricing for Web Services.

[BibT_eX]

[DOI]

George Eby Mathew

Joseph Shields

Vikas Verma

Proceedings of the Web Information Systems, 2004

1992

A Fair Basis For Charge Back.

[BibT_eX]

[DOI]

Vikas Verma

Malcolm Thurgur

Proceedings of the 18th International Computer Measurement Group Conference, 1992

A Meaningful Measure of Response Time for SLA.

[BibT_eX]

[DOI]

Vikas Verma

Proceedings of the 18th International Computer Measurement Group Conference, 1992

Vikas Verma

Timeline

Legend:

Links

On csauthors.net:

Bibliography

Loading...