Overview
GlanceNets: Interpretable, Leak-proof Concept-based Models
A key requirement is that the concepts be interpretable. Existing CBMs tackle this desideratum using a variety of heuristics based on unclear notions of interpretability, and fail to acquire concepts with the intended semantics.
Appendix A Review of Local Stability Results We provide a brief review of standard definitions and stability results that we use in the theorem
All the material can be found in any text in nonlinear systems such as [28]. That is, the system can remain arbitrarily close to the equilibrium point if it starts sufficiently close.
Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity
While our presentation focuses on this finite-sum structure, most of our convergence results can easily be adapted to the general stochastic setting (see App. D).
Teaching an Active Learner with Contrastive Examples Chaoqi Wang University of Chicago
We investigate an efficient teaching algorithm that adaptively picks these contrastive examples.