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Few-shot Object Grounding and Mapping for Natural Language Robot Instruction Following
ValtsBlukis, RossA.Knepper, YoavArtzi....
Published date-11/14/2020
ContinuousControl
We study the problem of learning a robot policy to follow natural language instructions that can be easily extended to reason about new objects. We introduce a few-shot language-conditioned object …
Self Normalizing Flows
T.AndersonKeller, JornW.T.Peters, PriyankJaini....
Published date-11/14/2020
Efficient gradient computation of the Jacobian determinant term is a core problem of the normalizing flow framework. Thus, most proposed flow models either restrict to a function class with easy …
Discovery of the Hidden State in Ionic Models Using a Domain-Specific Recurrent Neural Network
ShahriarIravanian....
Published date-11/14/2020
Ionic models, the set of ordinary differential equations (ODEs) describing the time evolution of the state of excitable cells, are the cornerstone of modeling in neuro- and cardiac electrophysiology. Modern …
Deep Spatial Learning with Molecular Vibration
ZiyangZhang, YingtaoLuo....
Published date-11/14/2020
Machine learning over-fitting caused by data scarcity greatly limits the application of machine learning for molecules. Due to manufacturing processes difference, big data is not always rendered available through computational …
Counting Cows: Tracking Illegal Cattle Ranching From High-Resolution Satellite Imagery
IssamLaradji, PauRodriguez, FreddieKalaitzis....
Published date-11/14/2020
Cattle farming is responsible for 8.8\% of greenhouse gas emissions worldwide. In addition to the methane emitted due to their digestive process, the growing need for grazing areas is an …
Factorized Gaussian Process Variational Autoencoders
MetodJazbec, MichaelPearce, VincentFortuin....
Published date-11/14/2020
Variational autoencoders often assume isotropic Gaussian priors and mean-field posteriors, hence do not exploit structure in scenarios where we may expect similarity or consistency across latent variables. Gaussian process variational …