Neural Architecture Search (NAS) has become a popular method for discove...
Semi-supervised knowledge distillation is a powerful training paradigm f...
Distillation with unlabeled examples is a popular and powerful method fo...
Distilling knowledge from a large teacher model to a lightweight one is ...
In this work we study the fundamental limits of approximate recovery in ...
The Lovász Local Lemma (LLL) is a powerful tool in probabilistic
combina...
All known efficient algorithms for constraint satisfaction problems are
...
We give polynomial time algorithms for the seminal results of Kahn, who
...
We consider the task of designing Local Computation Algorithms (LCA) for...
We develop a framework for the rigorous analysis of focused stochastic l...
We present a new perspective on the analysis of stochastic local search
...