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Almost Surely Stable Deep Dynamics


Authors:  NathanLawrence, PhilipLoewen, MichaelForbes....
Published date-12/01/2020

Abstract: We introduce a method for learning provably stable deep neural network based dynamic models from observed data. Specifically, we consider discrete-time stochastic dynamic models, as they are of particular interest …

Learning efficient task-dependent representations with synaptic plasticity


Authors:  ColinBredenberg, EeroSimoncelli, CristinaSavin....
Published date-12/01/2020

Abstract: Neural populations encode the sensory world imperfectly: their capacity is limited by the number of neurons, availability of metabolic and other biophysical resources, and intrinsic noise. The brain is presumably …

Soft Contrastive Learning for Visual Localization


Authors:  JanineThoma, DandaPaniPaudel, LucV.Gool....
Published date-12/01/2020
Tasks:  ContrastiveLearning, ImageRetrieval, VisualLocalization

Abstract: Localization by image retrieval is inexpensive and scalable due to simple mapping and matching techniques. Such localization, however, depends upon the quality of image features often obtained using Contrastive learning …

Fair Multiple Decision Making Through Soft Interventions


Authors:  YaoweiHu, YongkaiWu, LuZhang....
Published date-12/01/2020
Tasks:  DecisionMaking, fairness

Abstract: Previous research in fair classification mostly focuses on a single decision model. In reality, there usually exist multiple decision models within a system and all of which may contain a …

Learning to Adapt to Evolving Domains


Authors:  HongLiu, MingshengLong, JianminWang....
Published date-12/01/2020
Tasks:  DomainAdaptation, Meta-Learning, TransferLearning, UnsupervisedDomainAdaptation

Abstract: Domain adaptation aims at knowledge transfer from a labeled source domain to an unlabeled target domain. Current domain adaptation methods have made substantial advances in adapting discrete domains. However, this …

H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks


Authors:  ThomasLimbacher, RobertLegenstein....
Published date-12/01/2020
Tasks:  QuestionAnswering

Abstract: The ability to base current computations on memories from the past is critical for many cognitive tasks such as story understanding. Hebbian-type synaptic plasticity is believed to underlie the retention …

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