Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: A Large-scale Attribute Dataset for Zero-shot Learning
Zero-Shot Learning — The Good, the Bad and the Ugly
Semi-supervised Zero-Shot Learning by a Clustering-based Approach
Deep Imbalanced Learning for Face Recognition and Attribute Prediction
Zero-Shot Learning With Transferred Samples
Generalized zero-shot learning for action recognition with web-scale video data
Large Margin Few-Shot Learning
Multi-Label Zero-Shot Learning via Concept Embedding
From Zero-Shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis
Manifold regularized cross-modal embedding for zero-shot learning
Boosting Image Captioning with Attributes
Zero Shot Recognition with Unreliable Attributes
Deep Imbalanced Attribute Classification using Visual Attention Aggregation
Predicting Deep Zero-Shot Convolutional Neural Networks Using Textual Descriptions
Multi-cue Zero-Shot Learning with Strong Supervision
An Unsupervised Approach to Product Attribute Extraction
Zero-Shot Learning Through Cross-Modal Transfer
Learning to detect unseen object classes by between-class attribute transfer
Automatic Discovery, Association Estimation and Learning of Semantic Attributes for a Thousand Categories
Zero-Shot Kernel Learning
Low-Shot Learning with Large-Scale Diffusion
THE MUTUALITY OF AUTONOMY SCALE: AN IMPLICIT MEASURE OF OBJECT RELATIONS FOR THE RORSCHACH INKBLOT METHOD
A Solution of the Rectangular Cutting-Stock Problem
predicting rare events using specialized sampling techniques in sas ® .
Learning a Deep Compact Image Representation for Visual Tracking
A Taxonomy of Botnets