86 citations · 286 across the 31 of their papers we have counts for
4 papers · 1 filter
A law of adversarial risk, interpolation, and label noise
Daniel Paleka, Amartya Sanyal
In supervised learning, it has been shown that label noise in the data can be interpolated without penalties on test accuracy. We show that interpolating label noise induces advers…
Stable Rank Normalization for Improved Generalization in Neural Networks and GANs
Amartya Sanyal, Philip H. S. Torr, Puneet K. Dokania
Exciting new work on the generalization bounds for neural networks (NN) given by Neyshabur et al. , Bartlett et al. closely depend on two parameter-depenedent quantities: the Lipsc…
Optimizing Non-decomposable Measures with Deep Networks
Amartya Sanyal, Pawan Kumar, Purushottam Kar +2
We present a class of algorithms capable of directly training deep neural networks with respect to large families of task-specific performance measures such as the F-measure and th…
Multiscale sequence modeling with a learned dictionary
Bart van Merriënboer, Amartya Sanyal, Hugo Larochelle +1
We propose a generalization of neural network sequence models. Instead of predicting one symbol at a time, our multi-scale model makes predictions over multiple, potentially overla…