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02/28/2023
BrainBERT: Self-supervised representation learning for intracranial recordings
We create a reusable Transformer, BrainBERT, for intracranial recordings...
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10/05/2022
Query The Agent: Improving sample efficiency through epistemic uncertainty estimation
Curricula for goal-conditioned reinforcement learning agents typically r...
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07/14/2022
Developing a Series of AI Challenges for the United States Department of the Air Force
Through a series of federal initiatives and orders, the U.S. Government ...
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10/19/2021
Incorporating Rich Social Interactions Into MDPs
Much of what we do as humans is engage socially with other agents, a ski...
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10/19/2021
Trajectory Prediction with Linguistic Representations
Language allows humans to build mental models that interpret what is hap...
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10/14/2021
Spoken ObjectNet: A Bias-Controlled Spoken Caption Dataset
Visually-grounded spoken language datasets can enable models to learn cr...
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03/02/2021
PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception
The ability to perceive and reason about social interactions in the cont...
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10/22/2020
Migratable AI: Personalizing Dialog Conversations with migration context
The migration of conversational AI agents across different embodiments i...
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08/07/2020
Learning a natural-language to LTL executable semantic parser for grounded robotics
Children acquire their native language with apparent ease by observing h...
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08/06/2020
Compositional Networks Enable Systematic Generalization for Grounded Language Understanding
Humans are remarkably flexible when understanding new sentences that inc...
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06/01/2020
Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas
We demonstrate a reinforcement learning agent which uses a compositional...
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03/08/2020
Investigating the Decoders of Maximum Likelihood Sequence Models: A Look-ahead Approach
We demonstrate how we can practically incorporate multi-step future info...
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02/20/2020
Measuring Social Biases in Grounded Vision and Language Embeddings
We generalize the notion of social biases from language embeddings to gr...
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02/12/2020
Deep compositional robotic planners that follow natural language commands
We demonstrate how a sampling-based robotic planner can be augmented to ...
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11/16/2018
Temporal Grounding Graphs for Language Understanding with Accrued Visual-Linguistic Context
A robot's ability to understand or ground natural language instructions ...
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10/01/2018
Deep sequential models for sampling-based planning
We demonstrate how a sequence model and a sampling-based planner can inf...
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05/24/2018
Complex Relations in a Deep Structured Prediction Model for Fine Image Segmentation
Many deep learning architectures for semantic segmentation involve a Ful...
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04/19/2018
Assessing Language Proficiency from Eye Movements in Reading
We present a novel approach for determining learners' second language pr...
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04/24/2017
Predicting Native Language from Gaze
A fundamental question in language learning concerns the role of a speak...
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05/15/2016
Anchoring and Agreement in Syntactic Annotations
We present a study on two key characteristics of human syntactic annotat...
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05/13/2016
Universal Dependencies for Learner English
We introduce the Treebank of Learner English (TLE), the first publicly a...
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03/26/2016
Do You See What I Mean? Visual Resolution of Linguistic Ambiguities
Understanding language goes hand in hand with the ability to integrate c...
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03/24/2016
