Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: A General Theory of Equivariant CNNs on Homogeneous Spaces
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data
Accelerating Deep Neural Networks with Spatial Bottleneck Modules
Exploiting Cyclic Symmetry in Convolutional Neural Networks
Visualizing and Understanding Convolutional Networks
Fast Algorithms for Convolutional Neural Networks
Generalizing Pooling Functions in CNNs: Mixed, Gated, and Tree
Building Deep Networks on Grassmann Manifolds
Unsupervised object learning from dense equivariant image labelling
Inverting Convolutional Networks with Convolutional Networks
Spatial Transformer Networks
SUBMANIFOLD SPARSE CONVOLUTIONAL NETWORKS
Generalizing the Convolution Operator in Convolutional Neural Networks
Faster CNNs with Direct Sparse Convolutions and Guided Pruning
SimNets: A Generalization of Convolutional Networks
Effnet: An Efficient Structure for Convolutional Neural Networks
Analysis and Optimization of Convolutional Neural Network Architectures
The Robustness of Deep Networks: A Geometrical Perspective
FCNN: Fourier Convolutional Neural Networks
Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?
Recurrent Spatial Transformer Networks
Implementation of STEAM Education to Improve Mastery Concept
The Design and Use of Steerable Filters
A global view of epistasis
Determination of SVM-RBF Kernel Space Parameter to Optimize Accuracy Value of Indonesian Batik Images Classification
A Single-Stage LED Driver Based on Interleaved Buck-boost Circuit and LLC Resonant Converter