Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Equivariant Transformer Networks
Inverse Compositional Spatial Transformer Networks
Learning image representations equivariant to ego-motion.
Internal Covariate Shift Reduction in Encoder-Decoder Convolutional Neural Networks
Incorporating rotational invariance in convolutional neural network architecture
Invertible Residual Networks
Deformable Convolutional Networks
Scale-invariant learning and convolutional networks
Inverting Convolutional Networks with Convolutional Networks
Aggregated Residual Transformations for Deep Neural Networks
Understanding Image Representations by Measuring Their Equivariance and Equivalence
Deeply Supervised Rotation Equivariant Network for Lesion Segmentation in Dermoscopy Images
Symmetric Variational Autoencoder and Connections to Adversarial Learning
Analysis and Design of Convolutional Networks via Hierarchical Tensor Decompositions
Unsupervised Image-to-Image Translation Networks
Transform-Invariant Convolutional Neural Networks for Image Classification and Search
Towards Good Practices for Very Deep Two-Stream ConvNets
Efficient Architecture Search by Network Transformation
3D Morphable Models as Spatial Transformer Networks
Quaternion Convolutional Neural Networks
Perceptual Adversarial Networks for Image-to-Image Transformation
An Efficient FPGA Based HDB3 Decoding System Using Direct Digital Synthesis
Learning rotation invariant convolutional filters for texture classification
Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions
Using Security Attack Scenarios to Analyse Security During Information Systems Design
A nonvisual eye tracker calibration method for video-based tracking