Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Recurrent Pixel Embedding for Instance Grouping
Associative Embedding: End-to-End Learning for Joint Detection and Grouping
Deep Adaptive Image Clustering
A Multiple Instance Learning Approach for Content Based Image Retrieval Using One-Class Support Vector Machine
Multi-Instance Visual-Semantic Embedding
MFC: A multi-scale fully convolutional approach for visual instance retrieval
Multistage Object Detection With Group Recursive Learning
SIFT Meets CNN: A Decade Survey of Instance Retrieval
Weakly Supervised Instance Segmentation Using Class Peak Response
Multiple Instance Learning with Bag Dissimilarities
Discriminative Embedded Clustering: A Framework for Grouping High-Dimensional Data
Deep Convolutional Neural Networks for Multi-instance Multi-task Learning
Multi-instance learning by treating instances as non-I.I.D. samples
Image segmentation using automatic seeded region growing and instance-based learning
Label-Embedding for Image Classification
Bag-Level Aggregation for Multiple-Instance Active Learning in Instance Classification Problems
Large-scale image categorization with explicit data embedding
Integrating image clustering and codebook learning
Multiple Instance Learning Convolutional Neural Networks for object recognition
Pairwise Relation Classification with Mirror Instances and a Combined Convolutional Neural Network
Attention-based Deep Multiple Instance Learning
Bottom-Up/Top-Down Image Parsing with Attribute Grammar
greedy fun tion approximation : a gradient boosting .
Some Epistemic Benefits of Action: Tetris, a Case Study
neural enquirer : learning to query tables in natural language .
Forgotten Evidence: A Mixed Methods Study of Why Sexual Assault Kits (SAKs) Are Not Submitted for DNA Forensic Testing