Found 4050 results
Author Title Type [ Year(Asc)]
Harbach, M., De Luca A., Malkin N., & Egelman S. (2016).  Keep on Lockin’ in the Free World: A Multi-National Comparison of Smartphone Locking. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’16).
Hoffman, J., Pathak D., Tzeng E., Long J., Guadarrama S., Darrell T., et al. (2016).  Large Scale Visual Recognition Through Adaptation Using Joint Representation and Multiple Instance Learning. J. Mach. Learn. Res.. 17, 4954–4984.
Shi, J., Dong Y., Su H., & Yu S. X. (2016).  Learning Non-Lambertian Object Intrinsics across ShapeNet Categories.
Andreas, J., Rohrbach M., Darrell T., & Klein D. (2016).  Learning to Compose Neural Networks for Question Answering. CoRR. abs/1601.01705,
Song, H. Oh, Fritz M., Goehring D., & Darrell T. (2016).  Learning to Detect Visual Grasp Affordance. IEEE Transactions on Automation Science and Engineering. 13(2), 798-809.
Hoffman, J., Gupta S., & Darrell T. (2016).  Learning With Side Information Through Modality Hallucination. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 826-834.
Soszka, M., Simsek M., & Fettweis G. (2016).  On link combining methods for highly reliable future wireless communication. Proceedings of International Symposium on Wireless Communication Systems (ISWCS) 2016.
Chiang, H-L., Kadur T., Rave W., & Fettweis G. (2016).  Low-complexity spatial channel estimation and hybrid beamforming for millimeter wave links. 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). 1-7.
Lawlor, D., Budavári T., & Mahoney M. W. (2016).  Mapping the Similarities of Spectra: Global and Locally-biased Approaches to SDSS Galaxy Data. The Astrophysical Journal.
Gittens, A., Devarakonda A., Racah E., Ringenburg M., Gerhardt L., Kottalam J., et al. (2016).  Matrix Factorization at Scale: a Comparison of Scientific Data Analytics in Spark and C+MPI Using Three Case Studies.
Zhu, L., Amann J., & Heidemann J. (2016).  Measuring the Latency and Pervasiveness of TLS Certificate Revocation. Proceedings of Passive and Active Measurement Conference (PAM).
Petruck, M. R. L. (2016).  MetaNet, Special Issue of Constructions and Frames: 8.2. 8(2), 
Petruck, M. R. L., & Dodge E. (2016).  MetaNet Tutorial. Proceedings of ACL 2016.
Moskewicz, M. W., Jannesari A., & Keutzer K. (2016).  A Metaprogramming and Autotuning Framework for Deploying Deep Learning Applications. arXiv preprint arXiv:1611.06945.
Gleich, D., & Mahoney M. W. (2016).  Mining Large graphs. Handbook of Big Data. 191-220.
Thomee, B., Borth D., & Bernd J. (2016).  Multimedia COMMONS Workshop 2016 (MMCommons'16): Datasets, Evaluation, and Reproducibility. Proceedings of the 2016 ACM Conference on Multimedia (MM '16). 1485-1486.
Friedland, G., Papadopoulos S., Bernd J., & Kompatsiaris Y. (2016).  Multimedia Privacy. Proceedings of the 2016 ACM Conference on Multimedia (MM '16). 1479-1480.
Fukui, A., Park D. Huk, Yang D., Rohrbach A., Darrell T., & Rohrbach M. (2016).  Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding. CoRR. abs/1606.01847,
Richter, P., Wohlfart F., Vallina-Rodriguez N., Allman M., Bush R., Feldmann A., et al. (2016).  A Multi-perspective Analysis of Carrier-Grade NAT Deployment. Proceedings of ACM Internet Measurement Conference.
Gittens, A., Kottalam J., Yang J., Ringenburg M. F., Chhugani J., Racah E., et al. (2016).  A multi-platform evaluation of the randomized CX low-rank matrix factorization in Spark. Proceedings of the 5th International Workshop on Parallel and Distributed Computing for Large Scale Machine Learning and Big Data Analytics.
Hu, R., Xu H., Rohrbach M., Feng J., Saenko K., & Darrell T. (2016).  Natural Language Object Retrieval. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
Panda, A., Han S., Walls M., Ratnasamy S., & Shenker S. (2016).  NetBricks: Taking the V out of NFV. Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI ’16).
Andreas, J., Rohrbach M., Darrell T., & Klein D. (2016).  Neural Module Networks. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 39-48.
Ke, T-W., Maire M., & Yu S. X. (2016).  Neural Multigrid.
Regli, W., Rossignac J., Shapiro V., & Srinivasan V. (2016).  The new frontiers in computational modeling of material structures. Computer-Aided Design. 77, 73-85.