Publications

Found 166 results
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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.
Kulis, B., & Darrell T. (2009).  Learning to Hash with Binary Reconstructive Embeddings.
Kulis, B., & Darrell T. (2009).  Learning to Hash with Binary Reconstructive Embeddings. 1042-1050.
Song, H. Oh, Girshick R., Jegelka S., Mairal J., Harchaoui Z., & Darrell T. (2014).  On Learning to Localize Objects With Minimal Supervision.
C. Christoudias, M., Urtasun R., Salzmann M., & Darrell T. (2010).  Learning to Recognize Objects from Unseen Modalities. 677-691.
Moody, J., & Saffell M. (2001).  Learning to Trade via Direct Reinforcement. IEEE Transactions on Neural Networks. 12(4), 
Ossen, A. (1992).  Learning Topology-Preserving Maps Using Self-Supervised Backpropagation on a Parallel Machine.
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.
Moody, J., & Darken C. (1988).  Learning with Localized Receptive Fields. Proceedings of the 1988 Connectionist Models Summer School. 133-143.
Vinyals, O., Jia Y., Deng L., & Darrell T. (2012).  Learning with Recursive Perceptual Representations.
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.
Blum, L. (1989).  Lectures on a Theory of Computation and Complexity over the Reals.
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.
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.
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.
Heller, B., Scott C., McKeown N., Shenker S. J., Wundsam A., Zeng H., et al. (2013).  Leveraging SDN Layering to Systematically Troubleshoot Networks.
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.
Stolcke, A., Friedland G., & Imseng D. (2010).  Leveraging Speaker Diarization for Meeting Recognition from Distant Microphones. 4390-4393.
Zaitlen, N., Kang H. Min, Eskin E., & Halperin E. (2007).  Leveraging the HapMap Correlation Structure in Association Studies. American Journal of Human Genetics. 80, 683-691.
Wooters, C. (1993).  Lexical Modeling in a Speaker Independent Speech Understanding System.
Atkins, B.. T. S., Fillmore C. J., & Johnson C. R. (2003).  Lexicographic Relevance: Selecting Information From Corpus Evidence. International Journal of Lexicography. 251-280.
Fillmore, C. J. (1994).  Lexicography and Ethnographic Semantics. 27-48.
Scholz, R., & Ziem A. (2013).  Lexikometrie Meets FrameNet. 155-184.
Clay, R. D., & Séquin C. H. (1991).  Limiting Fault-Induced Output Errors In ANNs.

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