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10/21/2022
Augmentation by Counterfactual Explanation – Fixing an Overconfident Classifier
A highly accurate but overconfident model is ill-suited for deployment i...
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10/12/2021
AutoNLU: Detecting, root-causing, and fixing NLU model errors
Improving the quality of Natural Language Understanding (NLU) models, an...
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09/17/2021
Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules
One of the challenges faced by conversational agents is their inability ...
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06/17/2020
Conversational Neuro-Symbolic Commonsense Reasoning
One aspect of human commonsense reasoning is the ability to make presump...
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11/05/2019
Memory Augmented Recursive Neural Networks
Recursive neural networks have shown an impressive performance for model...
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10/27/2019
Look-up and Adapt: A One-shot Semantic Parser
Computing devices have recently become capable of interacting with their...
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01/12/2018
Combining Symbolic and Function Evaluation Expressions In Neural Programs
Neural programming involves training neural networks to learn programs f...
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05/30/2016
