2020-11
OPTIMIZING SPARSE GRAPH NEURAL NETWORKS FOR DENSE HARDWARE
2020-10
2020-07
Learning Graph Structure With A Finite-State Automaton Layer.
Software Engineering Event Modeling using Relative Time in Temporal Knowledge Graphs.
2020-06
Learning to Fix Build Errors with Graph2Diff Neural Networks
Gradient Estimation with Stochastic Softmax Tricks
Gradient Estimation with Stochastic Softmax Tricks
2020-04
LEARNING EXECUTION THROUGH NEURAL CODE FUSION
2020-03
On-the-Fly Adaptation of Source Code Models using Meta-Learning
2020-01
Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces
Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks
Learning Graph Structure With A Finite-State Automaton Layer
2019-11
Learning to Fix Build Errors with Graph2Diff Neural Networks.
2019-09
Fast Training of Sparse Graph Neural Networks on Dense Hardware
2019-06
Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces.
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