114 citations · 161 across the 7 of their papers we have counts for
4 papers · 1 filter
What do larger image classifiers memorise?
Michal Lukasik, Vaishnavh Nagarajan, Ankit Singh Rawat +2
The success of modern neural networks has prompted study of the connection between memorisation and generalisation: overparameterised models generalise well, despite being able to…
Supervision Complexity and its Role in Knowledge Distillation
Hrayr Harutyunyan, Ankit Singh Rawat, Aditya Krishna Menon +2
Despite the popularity and efficacy of knowledge distillation, there is limited understanding of why it helps. In order to study the generalization behavior of a distilled student,…
Predicting accurate probabilities with a ranking loss
Aditya Menon, Xiaoqian Jiang, Shankar Vembu +2
In many real-world applications of machine learning classifiers, it is essential to predict the probability of an example belonging to a particular class. This paper proposes a sim…
Dyadic Prediction Using a Latent Feature Log-Linear Model
Aditya Krishna Menon, Charles Elkan
In dyadic prediction, labels must be predicted for pairs (dyads) whose members possess unique identifiers and, sometimes, additional features called side-information. Special cases…