Publications

Found 4258 results
Author Title [ Type(Asc)] Year
Conference Paper
Kulis, B., & Darrell T. (2009).  Learning to Hash with Binary Reconstructive Embeddings. 1042-1050.
Gilardi, L., & Baker C. F. (2018).  Learning to Align across Languages: Toward Multilingual FrameNet.
Feng, J., & Darrell T. (2015).  Learning The Structure of Deep Convolutional Networks. The IEEE International Conference on Computer Vision (ICCV).
Feng, J., Jegelka S., Yan S., & Darrell T. (2014).  Learning Scalable Discriminative Dictionary with Sample Relatedness.
Tajchman, G., Jurafsky D., & Fosler-Lussier E. (1995).  Learning Phonological Rule Probabilities from Speech Corpora with Exploratory Computational Phonology. Proceedings of the 33rd Annual Meeting of the Association for Computational Linguistics (ACL 1995). 1-5.
Owens, T., Saenko K., Chakrabarti A., Xiong Y., Zickler T., & Darrell T. (2011).  Learning Object Color Models from Multi- View Constraints.
Kwok, V.., Niu Z., Kay P., Zhou K., Mo L., Jin Z., et al. (2011).  Learning New Color Names Produces Rapid Increase in Gray Matter in the Intact Adult Human Cortex. 108(16), 6686-6688.
Kivinen, J. J., Sudderth E. B., & Jordan M. I. (2007).  Learning Multiscale Representations of Natural Scenes Using Dirichlet Processes.
Chen, B. Y., Zhu Q., & Morgan N. (2004).  Learning Long-Term Temporal Features in LVCSR Using Neural Networks. Proceedings of International Conference on Spoken Language Processing.
Narihira, T., Maire M., & Yu S. X. (2015).  Learning Lightness from Human Judgement on Relative Reflectance.
Satzger, B., & Kramer O. (2010).  Learning Heuristic Functions for State-Space Planing. Proceedings of the Fifth IASTED International Conference on Computational Intelligence (CI 2010).
Chen, B. Y., Chang S., & Sivadas S. (2003).  Learning Discriminative Temporal Patterns in Speech: Development of Novel TRAPS-Like Classifiers. Proceedings of EUROSPEECH 2003.
Jia, Y., Salzmann M., & Darrell T. (2011).  Learning Cross-Modality Similarity for Multinomal Data. 2407-2414.
Schilling, M. (2011).  Learning by Seeing--Associative Learning of Visual Features Through Mental Simulation of Observed Action. 731-738.
Feldman, J., & Porat S. (1988).  Learning Automata from Ordered Examples. Proceedings of the COLT Conference.
Barrett, L., & Narayanan S. (2008).  Learning All Optimal Policies with Multiple Criteria. 41-47.
Petrov, S., Barrett L., Thibaux R., & Klein D. (2006).  Learning Accurate, Compact, and Interpretable Tree Annotation. Proceedings of the 44th Annual Meeting of the Association of Computational Linguistics (ACL).
Feldman, J., & Rovner P. D. (1968).  The Leap Language and Data Structure. Proceedings of the International Federation of Information Processing Societies.
Celikyilmaz, A., Hakkani-Tür D., & Tur G. (2010).  LDA Based Similarity Modeling for Question Answering. 1-9.
Kim, Y-J., Govindan R., Karp B., & Shenker S. J. (2006).  Lazy Cross-Link Removal for Geographic Routing. Proceedings of the 4th International Conference on Embedded Networked Sensor Systems (SenSys '06). 112-124.
Balakrishnan, H., Lakshminarayanan K., Ratnasamy S., Shenker S. J., Stoica I., & Walfish M. (2004).  A Layered Naming Architecture for the Internet. Proceedings of ACM Special Interest Group on Data Communications Conference (SIGCOMM 2004). 343-352.
Feldman, J., & Baily D.. (1998).  Layered hybrid connectionist models for cognitive science. Proceedings of the International NIPS Workshop on Hybrid Neural Symbolic Integration (NIPS 98).
Franklin, A., Drivonikou V. G., Clifford A., Kay P., Regier T., & Davies I. R. L. (2008).  Lateralization of Categorical Perception of Color Changes with Color Term Acquisition. 105(47), 18221-18225.
Jia, Y., & Darrell T. (2013).  Latent Task Adaptation with Large-Scale Hierarchies.
Liu, Z., Miao Z., Zhan X., Wang J., Gong B., & Yu S. X. (2019).  Large-Scale Long-Tailed Recognition in An Open World. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

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