Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
The Rajasthan High Court directed regularization of the petitioner engaged by the State on a part-time basis, who continued ...
An important meeting of the committee established to regularize the arms manufacturing business cluster of Darra Adam Khel (DAK) was ...
By transferring temporal knowledge from complex time-series models to a compact model through knowledge distillation and attention mechanisms, the ...
Abstract: Conventional total variation (TV) regularization denoising model is typically constructed by the first-order differences in both lateral and vertical directions. However, first-order ...
Understanding brain—behavior relationships and predicting cognitive and clinical outcomes from neuromarkers are central tasks in neuroscience. Connectome-based Predictive Modeling (CPM) has been ...
According to Andrej Karpathy (@karpathy), maintaining strong regularization is crucial to prevent model degradation when applying Reinforcement Learning from Human Feedback (RLHF) in AI systems ...
According to @akshatgupta57, a major revision to their paper on Lifelong Knowledge Editing highlights that better regularization techniques are essential for maintaining consistent downstream ...
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