Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Supervised Hashing Using Graph Cuts and Boosted Decision Trees
Semi-Supervised Hashing for Large-Scale Search
Kernelized Locality-Sensitive Hashing
Optimizing Majority-Inverter Graphs with functional hashing
Probabilistic boosting-tree: learning discriminative models for classification, recognition, and clustering
Learning Robust Hash Codes for Multiple Instance Image Retrieval
HashNet: Deep Learning to Hash by Continuation
K-Means Hashing: An Affinity-Preserving Quantization Method for Learning Binary Compact Codes
Pseudo Label based Unsupervised Deep Discriminative Hashing for Image Retrieval
Binary Constrained Deep Hashing Network for Image Retrieval Without Manual Annotation
Semi-Relaxation Supervised Hashing for Cross-Modal Retrieval
Locality-sensitive Hashing without False Negatives
Deep Learning to Hash with Multiple Representations
Supervised Learning of Semantics-Preserving Hashing via Deep Neural Networks for Large-Scale Image Search
A Survey on Learning to Hash
S2JSD-LSH: A Locality-Sensitive Hashing Schema for Probability Distributions.
Hashing tree-structured data: Methods and applications
Kernelized locality-sensitive hashing for scalable image search
Similarity Preserving Hashing: Eligible Properties and a new Algorithm MRSH-v2
Spectral hashing
Sloppy Hashing and Self-Organizing Clusters
Similarity Search in High Dimensions via Hashing
Heuristic evaluation for games: usability principles for video game design
Effect of comfort pads and incubator design on neonatal radiography
Differential Privacy Preserving in Big Data Analytics for Connected Health
Spectrum-Sensing Algorithms for Cognitive Radio Based on Statistical Covariances