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Edward Raff

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Publications

2023

  1. K. Darvish, E. Raff, F. Ferraro, and C. Matuszek, "Multimodal Language Learning for Object Retrieval in Low Data Regimes in the Face of Missing Modalities", Article, Transactions on Machine Learning Research, October 2023, 313 downloads.
  2. F. Lu, E. Raff, and F. Ferraro, "Neural Bregman Divergences for Distance Learning", InProceedings, 11th International Conference on Learning Representations, May 2023, 203 downloads.

2022

  1. F. Lu, J. Munoz, M. Fuchs, T. LeBlond, E. Zaresky-Williams, E. Raff, F. Ferraro, and B. Testa, "A General Framework for Auditing Differentially Private Machine Learning", InProceedings, Advances in Neural Information Processing Systems, November 2022, 371 downloads.
  2. G. Y. Kebe, L. E. Richards, E. Raff, F. Ferraro, and C. Matuszek, "Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech", InProceedings, Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22), June 2022, 323 downloads.
  3. F. Lu, F. Ferraro, and E. Raff, "Continuously Generalized Ordinal Regression for Linear and Deep Models", InProceedings, SIAM International Conference on Data Mining, April 2022, 355 downloads.

2020

  1. N. Pillai, E. Raff, F. Ferraro, and C. Matuszek, "Sampling Approach Matters: Active Learning for Robotic Language Acquisition", InProceedings, IEEE BigData BDML, December 2020, 1008 downloads.
  2. A. T. Nguyen, L. E. Richards, G. Y. Kebe, E. Raff, K. Darvish, F. Ferraro, and C. Matuszek, "Practical Cross-modal Manifold Alignment for Grounded Language", Article, arXiv:2009.05147 [cs.CV], September 2020, 461 downloads.
  3. P. Jenkins, R. Sachdeva, G. Y. Kebe, P. Higgins, K. Darvish, E. Raff, D. Engel, J. Winder, F. Ferraro, and C. Matuszek, "Presentation and Analysis of a Multimodal Dataset for Grounded Language Learning", Article, arXiv:2007.14987 [cs.RO], July 2020, 451 downloads.