Since weak learners perform only marginallybetter than random guesses, such subroutines constitute aweakerassumption than the availability of an accurate supervised learning oracle. Weprovethat the sample complexity and running time bounds of the proposed method do not explicitly dependonthenumberofstates. While existing results on boosting operate on convex losses, the value function over policies is non-convex.

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

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

Several data valuation algorithms have been proposed to quantify data quality, however, there lacks a systemic and standardized benchmarking system for data valuation.

The networkislikelytoproduce unpredictable outputs ifgiven random inputs that are not described bypx,misguiding the student network.

Temporal logics have been used in prior research as a language forexpressing desirable system behaviors, and canimprovetheinterpretability ofspecifications if expressed as compositions of simpler templates (akin to those described by Dwyer et al. [2]).

Despite advances in AI alignment, large language models (LLMs) remain vulnerable to adversarial attacks or jailbreaking, in which adversaries can modify prompts to induce unwanted behavior.

Open-vocabulary detection (OVD) aims to generalize beyond the limited number of base classes labeled during the training phase. The goal is to detect novel classes defined by an unbounded (open)vocabularyatinference.