Vishnu Lokhande
Email:lokhande@cs.wisc.edu

Hi! I'm a CS PhD student at the University of Wisconsin-Madison. My interests revolve around Machine Learning and it's application to Computer Vision. I'm fortunate to be advised by Prof. Vikas Singh .

I graduated with B.Tech. in the Electrical Engineering from IIT Kanpur where I was advised by Prof. Laxmidhar Behera for my senior year thesis.

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News

  • [Feb 2020] Internship with Microsoft Research, Redmond at my home.
  • [Feb 2020] Our work on "Hermite Polynomials for semi-supervised learning" was accepted at CVPR 2020.
  • [Nov 2019] Our work on "Accelerating Column Generation Techniques" received Oral Acceptance at the AAAI 2020.
  • [Oct 2019] Our work on "Active Learning with Importance Sampling" was accepted to the Neurips 2019 Workshop Machine Learning with Gaurantees
  • [Jun 2019] Our paper on "Generating Accurate Pseudo-labels via Hermite Polynomials for SSL Confidently" received Student Poster Award at MMLS 2019.
  • [May 2019] Research Internship at Verisk AI Labs.
  • [Feb 2019] Passed PhD Qualifying Exam in Machine Learning with a High Pass (P+) grade.
  • [Dec 2018] Our paper "Constrained Deep Learning using Conditional Gradient and Applications in Computer Vision" received Oral Acceptance at AAAI 2019.
  • [Dec 2018] Student Volunteer at NeurIPS 2018.
  • [Jul 2018] Attended summer school on Fundametals of Data Analysis.
  • [Jun 2018] Our paper on "Constrained Deep Learning using Conditional Gradient and Applications in Computer Vision" received Spotlight Presentation at MMLS 2018.
  • [Jun 2018] Organized Reading Group on Deep learning Theory and Practice.

Select Publications

FairALM: An Augmented Lagrangian Method for Training Fair Models with Little Regret
Vishnu Suresh Lokhande, Aditya Kumar Akash, Sathya N. Ravi, Vikas Singh
[Code]
Under Review

Generating Accurate Pseudo-labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations
Vishnu Suresh Lokhande, Songwong Tasneeyapant, Abhay Venkatesh,
Sathya N. Ravi, Vikas Singh
[Video] [Slides] [Code]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR-20)
Also, Best Student Paper Award at MMLS 2019

Accelerating Column Generation via Flexible Dual Optimal Inequalities with Application to Entity Resolution
Vishnu Suresh Lokhande, Shaofei Wang, Maneesh Singh, Julian Yarkony
[Code] [Poster] [Slides]
Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) (Oral Presentation)

Constrained Deep Learning using Conditional Gradient and Applications in Computer Vision
Sathya N. Ravi, Tuan Dinh, Vishnu Suresh Lokhande, Vikas Singh
[Code] [Poster]
Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19) (Oral Presentation)
Also, Spotlight Presentation at MMLS 2018

Useful Links


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