Publications

Found 1144 results
Author Title Type [ Year(Asc)]
Filters: First Letter Of Last Name is K  [Clear All Filters]
2016
Pathak, D., Krahenbuhl P., Donahue J., Darrell T., & Efros A. A. (2016).  Context Encoders: Feature Learning by Inpainting. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2536-2544.
Andreas, J., Rohrbach M., Darrell T., & Klein D. (2016).  Deep compositional question answering with neural module networks. IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
Gao, Y., Hendricks L. Anne, Kuchenbecker K. J., & Darrell T. (2016).  Deep learning for tactile understanding from visual and haptic data. IEEE International Conference on Robotics and Automation (ICRA). 536-543.
Khattak, S., Fifield D., Afroz S., Javed M., Sundaresan S., Paxson V., et al. (2016).  Do You See What I See? Differential Treatment of Anonymous Users. Proceedings of the Network and Distributed System Security Symposium (NDSS).
Gergen, S., Zeiler S., Abdelaziz A. Hussen, Nickel R., & Kolossa D. (2016).  Dynamic Stream Weighting for Turbo-Decoding-Based Audiovisual ASR. Proceedings of Interspeech 2016.
Friedman, E., Landsberg A. S., Owen J., Hsieh W., Kam L., & Mukherjee P. (2016).  Edge correlations in spatial networks. Journal of Complex Networks. 1-14.
Chiang, H-L., Rave W., Kadur T., & Fettweis G. (2016).  Full rank spatial channel estimation at millimeter wave systems. 2016 International Symposium on Wireless Communication Systems (ISWCS). 42-48.
Zou, Y., Zetterberg P., Gustavsson U., Svensson T., Zaidi A., Kadur T., et al. (2016).  Impact of Major RF Impairments on mm-Wave Communications Using OFDM Waveforms. 2016 IEEE Globecom Workshops (GC Wkshps). 1-7.
Domin, C., Pohl H., & Krause M. (2016).  Improving Plagiarism Detection in Coding Assignments by Dynamic Removal of Common Ground. Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems. 1173-1179.
Zeiler, S., Meutzner H., Abdelaziz A. Hussen, & Kolossa D. (2016).  Introducing the Turbo-Twin-HMM for Audio-Visual Speech Enhancement. Proceedings of Interspeech 2016.
Andreas, J., Rohrbach M., Darrell T., & Klein D. (2016).  Learning to Compose Neural Networks for Question Answering. CoRR. abs/1601.01705,
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.
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.
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.
Moskewicz, M. W., Jannesari A., & Keutzer K. (2016).  A Metaprogramming and Autotuning Framework for Deploying Deep Learning Applications. arXiv preprint arXiv:1611.06945.
Friedland, G., Papadopoulos S., Bernd J., & Kompatsiaris Y. (2016).  Multimedia Privacy. Proceedings of the 2016 ACM Conference on Multimedia (MM '16). 1479-1480.
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.
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.
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.
Gergen, S., Zeiler S., Abdelaziz A. Hussen, & Kolossa D. (2016).  New Insights into Turbo-Decoding-Based AVSR with Dynamic Stream Weights. Proceedings of ITG Conference on Speech Communication.
Panda, A., McCauley M., Tootoonchian A., Sherry J., Koponen T., Ratnasamy S., et al. (2016).  Open Network Interfaces for Carrier Networks. ACM SIGCOMM Computer Communication Review. 46(1), 5-11.
Hao, S., Kantchelian A., Miller B., Paxson V., & Feamster N. (2016).  PREDATOR: Proactive Recognition and Elimination of Domain Abuse at Time-Of-Registration. Proceedings of ACM CCS.
Li, F., Ho G., Kuan E., Niu Y., Ballard L., Thomas K., et al. (2016).  Remedying Web Hijacking: Notification Effectiveness and Webmaster Comprehension. Proceedings of the International World Wide Web Conference.

Pages