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Discriminative Feature Attributions: Bridging Post Hoc Explainability and Inherent Interpretability
To this end, two broad strategies have been outlined in prior literature to explain models.
6fdf57c71bc1f1ee29014b8dc52e723f-Paper-Conference.pdf
First, counterintuitively, we observe that pretrain-ing on more data shows no significant improvement in the model's capability to
Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games Y oubang Sun
A major challenge in the analysis of multi-agent systems is the restriction on joint policies of agents.
OPEL: Optimal Transport Guided ProcedurE Learning
To this end, we propose to treat the video frames as samples from an unknown distribution, enabling us to frame their distance calculation as an optimal transport (OT) problem. Notably, the OT - based formulation allows us to relax the previously mentioned assumptions. To further improve performance, we enhance the OT formulation by introducing two regularization terms.
Benchmarking Generative Models on Computational Thinking Tests in Elementary Visual Programming
Generative models have demonstrated human-level proficiency in various benchmarks across domains like programming, natural sciences, and general knowledge.
