Books
G. Friedland, Information-Driven Machine Learning: Data Science as an Engineering Discipline
J. Choi and G. Friedland, Eds., Multimodal Location Estimation of Videos and Images
G. Friedland and R. Jain, Introduction to Multimedia Computing
Articles in journals or magazines
B. Thomee, D. Shamma, G. Friedland, B. Elizalde, K. Ni, D. Poland, and D. Borth, "YFCC100M: The New Data in Multimedia Research ," Communications of the ACM (CACM) , vol. 59, no. 2, pp. 64-73, Feb. 2016.
E. Gonina, G. Friedland, E. Battenberg, P. Koanantakool, M. Driscoll, E. Georganas, and K. Keutzer, "Scalable Multimedia Content Analysis on Parallel Platforms Using Python ," ACM Trans. Multimedia Comput. Commun. Appl. , vol. 10, no. 2, pp. 18:1--18:22, Feb. 2014.
Masters Reports
H. Guo, G. Friedland, and G. K. Anumanchipalli, "Enhancing GAN-based Vocoders with Contrastive Learning ," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2023-183, May 2023.
A. Hiremath, "Multimodal Contrastive Learning for Unsupervised Video Representation Learning ," A. Zakhor and G. Friedland, Eds., EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2022-206, Aug. 2022.
N. Hyder and G. Friedland, "Learning Rate Estimation for Stochastic Gradient Descent ," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2022-155, May 2022.
L. Song, Z. Zhang, A. Panda, Y. Yang, M. Mahoney, J. Gonzalez, and P. Prateek Mittal, "Neurotoxin: Durable Backdoors in Federated Learning ," K. Ramchandran and G. Friedland, Eds., EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2022-89, May 2022.
D. Nahm, "On the Robustness of Learned Task Weights in Cross-modal Retrieval ," G. Friedland and K. Ramchandran, Eds., EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2020-86, May 2020.