Neha Mukund Kalibhat

According to our database1, Neha Mukund Kalibhat authored at least 11 papers between 2017 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
Understanding the Effect of using Semantically Meaningful Tokens for Visual Representation Learning.
CoRR, 2024

Augmentations vs Algorithms: What Works in Self-Supervised Learning.
CoRR, 2024

Measuring Self-Supervised Representation Quality for Downstream Classification Using Discriminative Features.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Disentangling the Effects of Data Augmentation and Format Transform in Self-Supervised Learning of Image Representations.
CoRR, 2023

Identifying Interpretable Subspaces in Image Representations.
Proceedings of the International Conference on Machine Learning, 2023

Adapting Self-Supervised Representations to Multi-Domain Setups.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022
Understanding Failure Modes of Self-Supervised Learning.
CoRR, 2022

2021
Understanding Overparameterization in Generative Adversarial Networks.
CoRR, 2021

Understanding Over-parameterization in Generative Adversarial Networks.
Proceedings of the 9th International Conference on Learning Representations, 2021

Winning Lottery Tickets in Deep Generative Models.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2017
Software Troubleshooting Using Machine Learning.
Proceedings of the 24th IEEE International Conference on High Performance Computing Workshops, 2017


  Loading...