Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Deep Self-Taught Learning for Weakly Supervised Object Localization
Weakly Supervised Object Localization with Latent Category Learning
Learning to Learn from Weak Supervision by Full Supervision
Transfer Learning by Ranking for Weakly Supervised Object Annotation
Weakly supervised object detector learning with model drift detection
NetVLAD: CNN Architecture for Weakly Supervised Place Recognition
Weakly Supervised Deep Detection Networks
Object Detection in Optical Remote Sensing Images Based on Weakly Supervised Learning and High-Level Feature Learning
Track and Transfer: Watching Videos to Simulate Strong Human Supervision for Weakly-Supervised Object Detection
Weakly Supervised Region Proposal Network and Object Detection
Weakly Supervised Object Detection with Posterior Regularization
Large-scale knowledge transfer for object localization in ImageNet
SPFTN: A Self-Paced Fine-Tuning Network for Segmenting Objects in Weakly Labelled Videos
Semi-Supervised Self-Training of Object Detection Models
AttentionNet: Aggregating Weak Directions for Accurate Object Detection
WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks
Learning object class detectors from weakly annotated video
Efficient object localization using Convolutional Networks
Weakly Supervised Learning with Deep Convolutional Neural Networks for Semantic Segmentation: Understanding Semantic Layout of Images with Minimum Human Supervision
Generating Self-Guided Dense Annotations for Weakly Supervised Semantic Segmentation
Zero-Shot Object Detection: Learning to Simultaneously Recognize and Localize Novel Concepts
Applications of machine learning and rule induction
Toward automatic phenotyping of developing embryos from videos
Safe Exploration in Markov Decision Processes
Cognizant Enterprise Maturity Model (CEMM)
Active learning increases student performance in science, engineering, and mathematics