Emergent properties have been widely adopted as a term to describe behavior not present in smaller models but observed in larger models (Wei et al., 2022a).

Neural Information Processing Systems http://nips.cc/

Neural Information Processing Systems http://nips.cc/

Unsupervised skill discovery is a learning paradigm that aims to acquire diverse behaviors without explicit rewards.

Samsung Galaxy Unpacked 2026 is Feb. 25 Valve's Steam Machine: Everything we know The controversial technology could roll out as soon as this year. Meta has backed away from highly controversial facial recognition tech in its products and services before, but seemingly not so far that it isn't willing to have another crack at it. A new report from claims Mark Zuckerberg's company wants to add facial recognition to its lineup of branded smart glasses at some point this year. The spoke to four anonymous people with knowledge of Meta's plans, who told the publication that the feature is codenamed Name Tag internally. As you'd expect, it would let people wearing Meta-powered Oakley or Ray-Ban glasses identify people and get information about them using AI.

Our algorithm produces feasible iterates. Experiments show that it significantly outperforms prior approaches and for larger problems itisthe only viableoption.

They iteratively modify and resolve linear programs to conduct a depth-first search from any node in the search tree. Existing divers rely on generic decision rules that fail to exploit structural commonality between similar problem instances that often arise in practice.

Various theoretical results provideupper bounds onthedistance between the target and marginal distribution after a fixed number of iterations.

Lemma 2. Let Assumption 1 hold.

(Liu and Nocedal, 1989). Similar efforts have been made for Polyak stepsizes (Berrada et al., 2020; Loizou et al., 2021), in addition to new methods which combine distance to optimality with online learning convergence bounds (Cutkosky et al., 2023; Classically-inspired methods, however, have generally struggled to gain traction in deep learning.