Search Machine Learning Repository:
All publications by Kristen Grauman
authors venues years



Diverse Sequential Subset Selection for Supervised Video Summarization
Boqing Gong, Wei-lun Chao, Kristen Grauman and Fei Sha
Advances in Neural Information Processing Systems 27, 2014


Zero-shot recognition with unreliable attributes
Dinesh Jayaraman and Kristen Grauman
Advances in Neural Information Processing Systems 27, 2014


Predicting Useful Neighborhoods for Lazy Local Learning
Aron Yu and Kristen Grauman
Advances in Neural Information Processing Systems 27, 2014


Analogy-preserving Semantic Embedding for Visual Object Categorization
Sung J. Hwang, Kristen Grauman and Fei Sha
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Reshaping Visual Datasets for Domain Adaptation
Boqing Gong, Kristen Grauman and Fei Sha
Advances in Neural Information Processing Systems 26, 2013


Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation
Boqing Gong, Kristen Grauman and Fei Sha
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Semantic Kernel Forests from Multiple Taxonomies
Sung J. Hwang, Kristen Grauman and Fei Sha
Advances in Neural Information Processing Systems 25, 2012


Learning a Tree of Metrics with Disjoint Visual Features
Kristen Grauman, Fei Sha and Sung J. Hwang
Advances in Neural Information Processing Systems 24, 2011


Learning with Whom to Share in Multi-task Feature Learning
Zhuoliang Kang, Kristen Grauman and Fei Sha
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning
Prateek Jain, Sudheendra Vijayanarasimhan and Kristen Grauman
Advances in Neural Information Processing Systems 23, 2010


Online Metric Learning and Fast Similarity Search
Prateek Jain, Brian Kulis, Inderjit S. Dhillon and Kristen Grauman
Advances in Neural Information Processing Systems 21, 2008


Multi-Level Active Prediction of Useful Image Annotations for Recognition
Sudheendra Vijayanarasimhan and Kristen Grauman
Advances in Neural Information Processing Systems 21, 2008


The Pyramid Match Kernel: Efficient Learning with Sets of Features
Kristen Grauman and Trevor Darrell
Journal of Machine Learning Research, 2007


Approximate Correspondences in High Dimensions
Kristen Grauman and Trevor Darrell
Advances in Neural Information Processing Systems 19, 2006