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06/16/2022
Towards Understanding How Machines Can Learn Causal Overhypotheses
Recent work in machine learning and cognitive science has suggested that...
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02/21/2022
Learning Causal Overhypotheses through Exploration in Children and Computational Models
Despite recent progress in reinforcement learning (RL), RL algorithms fo...
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01/18/2022
GANmouflage: 3D Object Nondetection with Texture Fields
We propose a method that learns to camouflage 3D objects within scenes. ...
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10/12/2021
ABO: Dataset and Benchmarks for Real-World 3D Object Understanding
We introduce Amazon-Berkeley Objects (ABO), a new large-scale dataset of...
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05/06/2020
Exploring Exploration: Comparing Children with RL Agents in Unified Environments
Research in developmental psychology consistently shows that children ex...
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03/03/2019
Accelerating Training of Deep Neural Networks with a Standardization Loss
A significant advance in accelerating neural network training has been t...
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11/29/2016