Publications

Found 4258 results
Author [ Title(Asc)] Type Year
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L
Stolcke, A., Friedland G., & Imseng D. (2010).  Leveraging Speaker Diarization for Meeting Recognition from Distant Microphones. 4390-4393.
Xie, S., Favre B., Hakkani-Tür D., & Liu Y. (2009).  Leveraging Sentence Weights in a Concept-Based Optimization Framework for Extractive Meeting Summarization. 1503-1506.
Heller, B., Scott C., McKeown N., Shenker S. J., Wundsam A., Zeng H., et al. (2013).  Leveraging SDN Layering to Systematically Troubleshoot Networks.
Zaitlen, N., Pasaniuc B., Gur T., Ziv E., & Halperin E. (2010).  Leveraging Genetic Variability Across Populations for the Identification of Causal Variants. The American Journal of Human Genetics. 86(1), 23-33.
Andeani, G.., Di Fabbrizio D.., Gilbert M.., Gillick D., Hakkani-Tür D., & Lemon O.. (2006).  Let's DISCOH: Collecting an Annotated Open Corpus with Dialogue Acts and Reward Signals for Natural Language Helpdesks. Proceedings of the IEEE 2006 Workshop on Spoken Language Technology (SLT 2006). 218-221.
Fayazbakhsh, S. Kaveh, Lin Y., Tootoonchian A., Ghodsi A., Koponen T., Maggs B. M., et al. (2013).  Less Pain, Most of the Gain: Incrementally Deployable ICN. 147-158.
Blum, L. (1989).  Lectures on a Theory of Computation and Complexity over the Reals.
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.
Vinyals, O., Jia Y., Deng L., & Darrell T. (2012).  Learning with Recursive Perceptual Representations.
Moody, J., & Darken C. (1988).  Learning with Localized Receptive Fields. Proceedings of the 1988 Connectionist Models Summer School. 133-143.
Finn, C., Tan X. Yu, Duan Y., Darrell T., Levine S., & Abbeel P. (2015).  Learning Visual Feature Spaces for Robotic Manipulation with Deep Spatial Autoencoders. arXiv.
Ossen, A. (1992).  Learning Topology-Preserving Maps Using Self-Supervised Backpropagation on a Parallel Machine.
Moody, J., & Saffell M. (2001).  Learning to Trade via Direct Reinforcement. IEEE Transactions on Neural Networks. 12(4), 
C. Christoudias, M., Urtasun R., Salzmann M., & Darrell T. (2010).  Learning to Recognize Objects from Unseen Modalities. 677-691.
Song, H. Oh, Girshick R., Jegelka S., Mairal J., Harchaoui Z., & Darrell T. (2014).  On Learning to Localize Objects With Minimal Supervision.
Kulis, B., & Darrell T. (2009).  Learning to Hash with Binary Reconstructive Embeddings. 1042-1050.
Kulis, B., & Darrell T. (2009).  Learning to Hash with Binary Reconstructive Embeddings.
Song, H. Oh, Fritz M., Göhring D., & Darrell T. (2015).  Learning to Detect Visual Grasp Affordance.
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.
Andreas, J., Rohrbach M., Darrell T., & Klein D. (2016).  Learning to Compose Neural Networks for Question Answering. CoRR. abs/1601.01705,
Gilardi, L., & Baker C. F. (2018).  Learning to Align across Languages: Toward Multilingual FrameNet.
Regier, T., & Gahl S. (2004).  Learning the Unlearnable: The Role of Missing Evidence. Cognition. 93(2), 147-155.
Feng, J., & Darrell T. (2015).  Learning The Structure of Deep Convolutional Networks. The IEEE International Conference on Computer Vision (ICCV).
Regier, T. (1990).  Learning Spatial Terms Without Explicit Negative Instances.
Regier, T. (1991).  Learning Spatial Concepts Using a Partially-Structured Connectionist Architecture.

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