Home
Updates
Projects
Talks
Publications
Patents
Posts
Contact
CV
Source Themes
Game of Gradients - Mitigating irrelevant clients in Federated Learning
Using Cooperative Game theory approaches to mitigate the impace of noisy clients in Federated Learning.
Lokesh Nagalapatti
,
Ramasuri Narayanam
PDF
Cite
Poster
Video
DOI
Paper
Ranking Data Slices for ML Model Validation: A Shapley Value Approach
Shapley values based approach to detect slices of data that needs to be analyzed to debug the performance of a black-box ML model.
Eitan Farchi
,
Ramasuri Narayanam
,
Lokesh Nagalapatti
PDF
Cite
DOI
Outlier Resistant Unsupervised Deep Architectures for Attributed Network Embedding
Auto encoder inspired deep architectures for finding outlier robust network embedding for nodes in an attributed networks through adversarial training.
Sambaran Bandyopadhyay
,
Lokesh Nagalapatti
,
Saley Vishal Vivek (*)
,
M N Murty
PDF
Cite
DOI
Outlier Aware Network Embedding for Attributed Networks
Finding outlier robust network embedding for nodes in an attributed network. We define outlierness for each node and learn them using closed form update rules.
Sambaran Bandyopadhyay
,
Lokesh Nagalapatti
,
M N Murty
PDF
Cite
Code
Poster
Slides
DOI
«
Cite
×