ReWEIGH is a training-free decoding intervention that aggregates vocabulary ranks across visual positions and compares each candidate with a token-specific reference estimated from unlabeled images and applies a bounded penalty only to candidates that fall below their reference.
Sign differences suggest that a single comparator may not provide an architecture-invariant decomposition of a pretrained-versus-supervised performance gap, and validation-fitted temperature scaling returns foundation-model calibration error to the supervised range despite substantially lower four-class accuracy.
Attention-head ablation, zeroing a head and measuring the resulting change in task performance, is a common method for inferring which components of a language model are causally responsible for a behavior. We show using GPT-2 small that this inference can be fragile unless the intervention semantics, evaluation metric...
Objective. Speech imagery (SI) has emerged as a promising paradigm for brain-computer interface (BCI) control, attracting growing interest due to its intuitive nature–allowing users to interact with the system by internally saying a command. In this study, we investigate the replicability and reproducibility of SI deco...
A. Tates, Ana Matran-Fernandez, S. Halder et al.· Journal of Neural Engineerin...· 0 citations
Some participants are consistently easier to decode than others. We asked whether this difference belongs to the person or to the conditions under which the brain is measured. We compared visual decoding in EEG, MEG, intracranial EEG and fMRI, testing classifiers on runs and stimulus identities excluded from training....
Mohammed Amin Miri, Sara Bonyadian, Rachid Hedjam et al.· bioRxiv· 0 citations
Electroencephalography (EEG) signals drift over time, which can cause static brain-computer interface (BCI) models to degrade in practice. We present a benchmark for online adaptation and compare two widely used pipeline families, Common Spatial Patterns (CSP) and Riemannian covariance-based methods, under time-ordered...
B. Kozyrskiy, Artem M. Grachev, Abraham Camelo-Guerrero· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.