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Found 3 papers, 1 papers with code
A Mechanism for Producing Aligned Latent Spaces with Autoencoders
Aligned latent spaces, where meaningful semantic shifts in the input space correspond to a translation in the embedding space, play an important role in the success of downstream tasks such as unsupervised clustering and data imputation.
Learning to Speak and Act in a Fantasy Text Adventure Game
We analyze the ingredients necessary for successful grounding in this setting, and how each of these factors relate to agents that can talk and act successfully.
MASA: Motif-Aware State Assignment in Noisy Time Series Data
Such data can be interpreted as a sequence of states, where each state represents a prototype of system behavior.
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