South America
Graph Neural Networks with Local Graph Parameters
In order to nicely formalize local graph parameters, we propose to extend vertex labels with homomorphism counts of small graph patterns.
Graph Neural Networks with Local Graph Parameters
In order to nicely formalize local graph parameters, we propose to extend vertex labels with homomorphism counts of small graph patterns.
The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning
In particular, the clearest example is the specialization of the ventral ("what") and dorsal
Learning to Synthesize Programs as Interpretable and Generalizable Policies Dweep Trivedi Jesse Zhang 1 Shao-Hua Sun 1 Joseph J. Lim 1 1 University of Southern California
Y et, these works either employ limited policy representations (e.g.
DARE: Disentanglement-Augmented Rationale Extraction
Code is released at https://github.com/yuelinan/DARE .
Ron Yosef Y uval Elovici
In this work, we introduce WinoGA ViL: an online game of vision-and-language associations (e.g., between werewolves and a full moon), used as a dynamic evaluation benchmark.
Symbolic Regression via Neural-Guided Genetic Programming Population Seeding
On a number of common benchmark tasks to recover underlying expressions from a dataset, our method recovers 65% more expressions than a recently published top-performing model using the same experimental setup.
