Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Autoencoder Regularized Network For Driving Style Representation Learning
Learning driving styles for autonomous vehicles from demonstration
End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners
Variation Autoencoder Based Network Representation Learning for Classification
From Pixels to Actions: Learning to Drive a Car with Deep Neural Networks
Convolution Neural Networks With Two Pathways for Image Style Recognition
Domain Adaptation Meets Disentangled Representation Learning and Style Transfer
a rapid pattern - recognition method for driving styles using clustering - based support vector machines .
Training Stacked Denoising Autoencoders for Representation Learning
Deep Steering: Learning End-to-End Driving Model from Spatial and Temporal Visual Cues
SAD-GAN: Synthetic Autonomous Driving using Generative Adversarial Networks
Automatic Semantic Style Transfer using Deep Convolutional Neural Networks and Soft Masks
Low cost and power CNN/deep learning solution for automated driving
Characterizing and Improving Stability in Neural Style Transfer
Decoder Network over Lightweight Reconstructed Feature for Fast Semantic Style Transfer
Autonomous Driving in Reality with Reinforcement Learning and Image Translation
Contractive Auto-Encoders: Explicit Invariance During Feature Extraction
DRLnet: Deep Difference Representation Learning Network and An Unsupervised Optimization Framework
Yes, we GAN: Applying Adversarial Techniques for Autonomous Driving
End-to-End Driving Via Conditional Imitation Learning
A Graph Regularized Deep Neural Network for Unsupervised Image Representation Learning
p53 and c-kit (CD117) protein expression as prognostic indicators in breast phyllodes tumors: a tissue microarray study
Phase I/II 90Y-Zevalin (yttrium-90 ibritumomab tiuxetan, IDEC-Y2B8) radioimmunotherapy dosimetry results in relapsed or refractory non-Hodgkin’s lymphoma
Adaptive subgradient methods for online learning and stochastic optimization
EXISTENTIAL RISK PREVENTION AS THE MOST IMPORTANT TASK FOR HUMANITY
Evaluation of Pose Tracking Accuracy in the First and Second Generations of Microsoft Kinect