281 citations · 692 across the 30 of their papers we have counts for
4 papers · 1 filter
Node Classification With Integrated Reject Option
Uday Bhaskar, Jayadratha Gayen, Charu Sharma +1
One of the key tasks in graph learning is node classification. While Graph neural networks have been used for various applications, their adaptivity to reject option setting is not…
ILAEDA: An Imitation Learning Based Approach for Automatic Exploratory Data Analysis
Abhijit Manatkar, Devarsh Patel, Hima Patel +1
Automating end-to-end Exploratory Data Analysis (AutoEDA) is a challenging open problem, often tackled through Reinforcement Learning (RL) by learning to predict a sequence of anal…
Towards Calibrated Losses for Adversarial Robust Reject Option Classification
Vrund Shah, Tejas Chaudhari, Naresh Manwani
Robustness towards adversarial attacks is a vital property for classifiers in several applications such as autonomous driving, medical diagnosis, etc. Also, in such scenarios, wher…
Pseudo-labelling meets Label Smoothing for Noisy Partial Label Learning
Darshana Saravanan, Naresh Manwani, Vineet Gandhi
We motivate weakly supervised learning as an effective learning paradigm for problems where curating perfectly annotated datasets is expensive and may require domain expertise such…