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cs.LG2024
fLSA: Learning Semantic Structures in Document Collections Using Foundation Models
Weijia Xu, Nebojsa Jojic, Nicolas Le Roux
Humans can learn to solve new tasks by inducing high-level strategies from example solutions to similar problems and then adapting these strategies to solve unseen problems. Can we…
cs.LG2015★ 3 cited
Iterative Refinement of the Approximate Posterior for Directed Belief Networks
R Devon Hjelm, Kyunghyun Cho, Junyoung Chung +3
Variational methods that rely on a recognition network to approximate the posterior of directed graphical models offer better inference and learning than previous methods. Recent a…