Statistical Learning
Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models Adam Karvonen Independent Benjamin Wright
What latent features are encoded in language model (LM) representations?
Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning Yiqin Lv Qi Wang
Accordingly, extensive evaluations demonstrate the significance of our proposal and its scalability to multimodal large models in boosting robustness.
Learning from Noisy Labels via Conditional Distributionally Robust Optimization
However, acquiring accurately annotated datasets is typically costly and time-consuming, often requiring a pool of annotators with adequate domain expertise to manually label the data. Crowdsourcing has emerged as an efficient and cost-effective solution for annotating large datasets.
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.