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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, 199 downloads.
  2. F. Lu, E. Raff, and F. Ferraro, "Neural Bregman Divergences for Distance Learning", InProceedings, 11th International Conference on Learning Representations, May 2023, 138 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, 262 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, 236 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, 257 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, 847 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, 354 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, 349 downloads.