87 citations · 144 across the 17 of their papers we have counts for
3 papers · 1 filter
Impact of Label Noise on Learning Complex Features
Rahul Vashisht, P. Krishna Kumar, Harsha Vardhan Govind +1
Neural networks trained with stochastic gradient descent exhibit an inductive bias towards simpler decision boundaries, typically converging to a narrow family of functions, and of…
Graph Classification with GNNs: Optimisation, Representation and Inductive Bias
P. Krishna Kumar a, Harish G. Ramaswamy
Theoretical studies on the representation power of GNNs have been centered around understanding the equivalence of GNNs, using WL-Tests for detecting graph isomorphism. In this pap…
Half-Space Feature Learning in Neural Networks
Mahesh Lorik Yadav, Harish Guruprasad Ramaswamy, Chandrashekar Lakshminarayanan
There currently exist two extreme viewpoints for neural network feature learning -- (i) Neural networks simply implement a kernel method (a la NTK) and hence no features are learne…