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04/26/2023
The Roles of Symbols in Neural-based AI: They are Not What You Think!
We propose that symbols are first and foremost external communication to...
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02/09/2023
Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals
High sample complexity has long been a challenge for RL. On the other ha...
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02/08/2022
Transferable Student Performance Modeling for Intelligent Tutoring Systems
Millions of learners worldwide are now using intelligent tutoring system...
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09/04/2021
Assessing the Knowledge State of Online Students – New Data, New Approaches, Improved Accuracy
We consider the problem of assessing the changing knowledge state of ind...
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06/08/2021
Coarse-to-Fine Curriculum Learning
When faced with learning challenging new tasks, humans often follow sequ...
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05/06/2021
A Generative Symbolic Model for More General Natural Language Understanding and Reasoning
We present a new fully-symbolic Bayesian model of semantic parsing and r...
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02/18/2021
Gender Bias, Social Bias and Representation: 70 Years of B^Hollywood
With an outreach in more than 90 countries, a market share of 2.1 billio...
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01/22/2021
Fringe News Networks: Dynamics of US News Viewership following the 2020 Presidential Election
The growing political polarization of the American electorate over the l...
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01/11/2021
Screen2Vec: Semantic Embedding of GUI Screens and GUI Components
Representing the semantics of GUI screens and components is crucial to d...
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10/05/2020
We Don't Speak the Same Language: Interpreting Polarization through Machine Translation
Polarization among US political parties, media and elites is a widely st...
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09/17/2020
Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction
How meaning is represented in the brain is still one of the big open que...
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08/31/2020
Discovering Bilingual Lexicons in Polyglot Word Embeddings
Bilingual lexicons and phrase tables are critical resources for modern M...
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03/05/2020
Towards Effective Human-AI Collaboration in GUI-Based Interactive Task Learning Agents
We argue that a key challenge in enabling usable and useful interactive ...
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08/30/2019
PUMICE: A Multi-Modal Agent that Learns Concepts and Conditionals from Natural Language and Demonstrations
Natural language programming is a promising approach to enable end users...
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03/23/2019
Competence-based Curriculum Learning for Neural Machine Translation
Current state-of-the-art NMT systems use large neural networks that are ...
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11/13/2018
Discourse in Multimedia: A Case Study in Information Extraction
To ensure readability, text is often written and presented with due form...
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05/19/2017
Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach
We propose an efficient method to estimate the accuracy of classifiers u...
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12/16/2016
Machine Reading with Background Knowledge
Intelligent systems capable of automatically understanding natural langu...
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06/20/2016
A Probabilistic Generative Grammar for Semantic Parsing
We present a framework that couples the syntax and semantics of natural ...
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02/28/2013