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Training Spiking Neural Networks with Local Tandem Learning
Similarresultshavealsobeen observedinthe VGG-16 architecture (see Supplementary Materials SectionF).
Embedding-AlignedLanguageModels
Latent embeddings offer an effective way of defining a content gap.
An Empirical Process Approachtothe Union Bound: Practical Algorithmsfor Combinatorialand Linear Bandits
Theorem 7 impliesthatifT O( log ( 1/ )[ + ] log ( (Z)) log ( log ( (Z)))), then Algorithm 3 returnsz withprobabilityatleast1 . Then, O(' log ( log (d))).
LearningtoGenerateVisualQuestions withNoisySupervision
Moreover,VQG models are also particularly useful for the few-shot learning or zero-shot learning [36,44]. Conceptually, VQG is a very challenging task since the generated questions are not only required to be consistent with the image content but also meaningful and answerabletohumans.
Samplingfrom Log-Concave Distributionswith Infinity-Distance Guarantees Oren Mangoubi Worcester Polytechnic Institute Nisheeth K. Vishnoi Yale University
Corollary 2.5 showsthatadirectapplicationof Theorem 2.1 resolvesthisproblem. (See Section C.2 foraproof.)
DistributionalRewardEstimationforEffective Multi-AgentDeepReinforcementLearning
While in [61], the authors recover the true supervision signals with peer loss, which punishes over-agreement for avoiding overfitting.