Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature
Towards automated classification of fine-art painting style: A comparative study
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Combining Holistic and Part-based Deep Representations for Computational Painting Categorization
Distance-Based Image Classification: Generalizing to New Classes at Near-Zero Cost
Improving Bag-of-Features for Large Scale Image Search
Leaf Classification Using Shape, Color, and Texture Features
Large-Scale Evolution of Image Classifiers
DeepArt: Learning Joint Representations of Visual Arts
Recognizing Emotions from Abstract Paintings Using Non-Linear Matrix Completion
Contour-based feature extraction for image classification and retrieval
Mining Mid-level Features for Image Classification
Deep Adversarial Metric Learning
Rethinking Feature Distribution for Loss Functions in Image Classification
Deep Multi-task Learning for Large-Scale Image Classification
Large-scale image classification: Fast feature extraction and SVM training
What Does Classifying More Than 10,000 Image Categories Tell Us?
Picasso: A Modular Framework for Visualizing the Learning Process of Neural Network Image Classifiers
Freehand Sketch Recognition Using Deep Features
Detecting People in Artwork with CNNs
ResFeats: Residual Network Based Features for Image Classification
Approximating the Held-Karp Bound for Metric TSP in Nearly-Linear Time
Return of the Devil in the Details: Delving Deep into Convolutional Nets
A Unified Morpho-Syntactic Scheme of Stanford Dependencies
Bee-MMT: A load balancing method for power consumption management in cloud computing
Relapse prediction in schizophrenia through digital phenotyping: a pilot study