Deep Learning
TransformerFusion: MonocularRGBScene ReconstructionusingTransformers
We introduce TransformerFusion, a transformer-based 3D scene reconstruction approach.
The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes
We perform classification experiments for a large range of network backbones and several standard datasets on supervised learning and active learning.
Bay Neural
Toascertain f1 constructed 9,10) returns Eq. (8) forwide NNs,B.1, will Proposition ( ) Universal Statisticsof Fisher Information in Deep Neural Networks: Mean Field Approach.
NeuralSolver: LearningAlgorithmsForConsistent andEfficientExtrapolationAcrossGeneralTasks
We contributeNeuralSolver, a novel recurrent solver that can efficiently and consistently extrapolate, i.e., learn algorithms from smaller problems (in terms of observation size) and execute those algorithms in large problems.
