47 citations · 56 across the 7 of their papers we have counts for
10 papers
ALLWAS: Active Learning on Language models in WASserstein space
Anson Bastos, Manohar Kaul
Active learning has emerged as a standard paradigm in areas with scarcity of labeled training data, such as in the medical domain. Language models have emerged as the prevalent cho…
Target Model Agnostic Adversarial Attacks with Query Budgets on Language Understanding Models
Jatin Chauhan, Karan Bhukar, Manohar Kaul
Despite significant improvements in natural language understanding models with the advent of models like BERT and XLNet, these neural-network based classifiers are vulnerable to bl…
Understanding Higher-order Structures in Evolving Graphs: A Simplicial Complex based Kernel Estimation Approach
Manohar Kaul, Masaaki Imaizumi
Dynamic graphs are rife with higher-order interactions, such as co-authorship relationships and protein-protein interactions in biological networks, that naturally arise between mo…
Self-Supervised Few-Shot Learning on Point Clouds
Charu Sharma, Manohar Kaul
The increased availability of massive point clouds coupled with their utility in a wide variety of applications such as robotics, shape synthesis, and self-driving cars has attract…
A Weighted Quiver Kernel using Functor Homology
Manohar Kaul, Dai Tamaki
In this paper, we propose a new homological method to study weighted directed networks. Our model of such networks is a directed graph equipped with a weight function on th…
Simplicial Complex based Point Correspondence between Images warped onto Manifolds
Charu Sharma, Manohar Kaul
Recent increase in the availability of warped images projected onto a manifold (e.g., omnidirectional spherical images), coupled with the success of higher-order assignment methods…