8 citations · 49 across the 40 of their papers we have counts for
4 papers · 1 filter
Theoretical Conditions and Empirical Failure of Bracket Counting on Long Sequences with Linear Recurrent Networks
Nadine El-Naggar, Pranava Madhyastha, Tillman Weyde
Previous work has established that RNNs with an unbounded activation function have the capacity to count exactly. However, it has also been shown that RNNs are challenging to train…
A call for better unit testing for invariant risk minimisation
Chunyang Xiao, Pranava Madhyastha
In this paper we present a controlled study on the linearized IRM framework (IRMv1) introduced in Arjovsky et al. (2020). We show that IRMv1 (and its variants) framework can be pot…
On Model Stability as a Function of Random Seed
Pranava Madhyastha, Rishabh Jain
In this paper, we focus on quantifying model stability as a function of random seed by investigating the effects of the induced randomness on model performance and the robustness o…
Learning from Multiview Correlations in Open-Domain Videos
Nils Holzenberger, Shruti Palaskar, Pranava Madhyastha +2
An increasing number of datasets contain multiple views, such as video, sound and automatic captions. A basic challenge in representation learning is how to leverage multiple views…