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Found 5 papers, 2 papers with code
Evaluating Disentanglement of Structured Latent Representations
We introduce the first metric for evaluating disentanglement at individual hierarchy levels of a structured latent representation.
Evaluating Disentanglement of Structured Representations
We introduce the first metric for evaluating disentanglement at individual hierarchy levels of a structured latent representation.
PLANS: Neuro-Symbolic Program Learning from Videos
Recent years have seen the rise of statistical program learning based on neural models as an alternative to traditional rule-based systems for programming by example.
PLANS: Robust Program Learning from Neurally Inferred Specifications
Recent years have seen the rise of statistical program learning based on neural models as an alternative to traditional rule-based systems for programming by example.
Adversarial Attacks on Probabilistic Autoregressive Forecasting Models
We develop an effective generation of adversarial attacks on neural models that output a sequence of probability distributions rather than a sequence of single values.
