Education
Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training Y anlai Y ang 1, Matt Jones
The behavior emerges and becomes more robust as the architecture scales up its number of parameters.
Bayes-optimal learning of an extensive-width neural network from quadratically many samples
Technically, our result is enabled by establishing a link with recent works on optimal denoising of extensive-rank matrices and on the ellipsoid fitting problem.
Monoculture in Matching Markets
This emerging literature has been limited by the challenge of incorporating market effects.
SlowFocus: Enhancing Fine-grained Temporal Understanding in Video LLM
However, current Vid-LLMs struggle to simultaneously retain high-quality frame-level semantic information ( i.e., a sufficient
Towards Harmless Rawlsian Fairness Regardless of Demographic Prior Xuanqian Wang 1 Jing Li2, 3 Ivor W. Tsang 2, 3,4 Y ew-Soon Ong 2,3,4 1
However, most methods still require prior knowledge of demographics.
