285 citations · 462 across the 4 of their papers we have counts for
4 papers
Towards Modular Algorithm Induction
Daniel A. Abolafia, Rishabh Singh, Manzil Zaheer +1
We present a modular neural network architecture Main that learns algorithms given a set of input-output examples. Main consists of a neural controller that interacts with a variab…
Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes
Roman Novak, Lechao Xiao, Jaehoon Lee +6
There is a previously identified equivalence between wide fully connected neural networks (FCNs) and Gaussian processes (GPs). This equivalence enables, for instance, test set pred…
Sensitivity and Generalization in Neural Networks: an Empirical Study
Roman Novak, Yasaman Bahri, Daniel A. Abolafia +2
In practice it is often found that large over-parameterized neural networks generalize better than their smaller counterparts, an observation that appears to conflict with classica…
Neural Program Synthesis with Priority Queue Training
Daniel A. Abolafia, Mohammad Norouzi, Jonathan Shen +2
We consider the task of program synthesis in the presence of a reward function over the output of programs, where the goal is to find programs with maximal rewards. We employ an it…