Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Implementation of deep-learning based image classification on single board computer
Imagenet classification with deep convolutional neural networks
Classifiers and Machine Learning Techniques for Image Processing and Computer Vision
Automatic Fish Classification System Using Deep Learning
Evolving Deep Convolutional Neural Networks by Variable-Length Particle Swarm Optimization for Image Classification
Reverse Training: An Efficient Approach for Image Set Classification
Comparing image classification methods: K-nearest-neighbor and support-vector-machines
Error-Driven Incremental Learning in Deep Convolutional Neural Network for Large-Scale Image Classification
Learning from massive noisy labeled data for image classification
Training CNNs with Low-Rank Filters for Efficient Image Classification
Deep multiple instance learning for image classification and auto-annotation
Bag of Tricks for Image Classification with Convolutional Neural Networks
Deep Big Multilayer Perceptrons for Digit Recognition
Texture image classification with discriminative neural networks
Enhanced Fusion of Deep Neural Networks for Classification of Benchmark High-Resolution Image Data Sets
In defense of Nearest-Neighbor based image classification
Automated Industry Classification with Deep Learning
Distance-Based Image Classification: Generalizing to New Classes at Near-Zero Cost
Deep Multi-task Learning for Large-Scale Image Classification
Tutorial on Answering Questions about Images with Deep Learning
DeeperLab: Single-Shot Image Parser
High-dimensional signature compression for large-scale image classification
Open Extraction of Fine-Grained Political Statements
BreathVR: Leveraging Breathing as a Directly Controlled Interface for Virtual Reality Games
Nanoscale MOSFET Modeling: Part 1: The Simplified EKV Model for the Design of Low-Power Analog Circuits
why and when can deep – but not shallow – networks avoid the curse of dimensionality by .