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Modeling Functional Similarity in Source Code with Graph-Based Siamese Networks
Code clones are duplicate code fragments that share (nearly) similar syn...
11/23/2020 ∙ by Nikita Mehrotra, et al. ∙
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JCoffee: Using Compiler Feedback to Make Partial Code Snippets Compilable
Static program analysis tools are often required to work with only a sma...
09/10/2020 ∙ by Piyush Gupta, et al. ∙
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MixBoost: Synthetic Oversampling with Boosted Mixup for Handling Extreme Imbalance
Training a classification model on a dataset where the instances of one ...
09/03/2020 ∙ by Anubha Kabra, et al. ∙
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Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks
Deep neural networks (DNNs) are powerful learning machines that have ena...
06/24/2020 ∙ by Surgan Jandial, et al. ∙
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Towards Safer Self-Driving Through Great PAIN (Physically Adversarial Intelligent Networks)
Automated vehicles' neural networks suffer from overfit, poor generaliza...
03/24/2020 ∙ by Piyush Gupta, et al. ∙
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ShapeVis: High-dimensional Data Visualization at Scale
We present ShapeVis, a scalable visualization technique for point cloud ...
01/15/2020 ∙ by Nupur Kumari, et al. ∙
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Explain Your Move: Understanding Agent Actions Using Focused Feature Saliency
As deep reinforcement learning (RL) is applied to more tasks, there is a...
12/23/2019 ∙ by Piyush Gupta, et al. ∙
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MAGIX: Model Agnostic Globally Interpretable Explanations
Explaining the behavior of a black box machine learning model at the ins...
06/22/2017 ∙ by Nikaash Puri, et al. ∙
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