Tag: weights
-
Weighted MCC: A Robust Measure of Multiclass Classifier Performance for Observations with Individual Weights
Weighted MCC: A Robust Measure of Multiclass Classifier Performance for Observations with Individual Weights arXiv:2512.20811v1 Announce Type: new Abstract: Several performance measures are used to evaluate binary and multiclass classification tasks. But individual observations may often have distinct weights, and none of these measures are sensitive to such varying weights. We propose a new weighted…
-
From Equal Weights to Smart Weights: OTPO’s Approach to Better LLM Alignment
From Equal Weights to Smart Weights: OTPO’s Approach to Better LLM Alignment Using optimal transport to weight what matters most In LLM-generated responses The post From Equal Weights to Smart Weights: OTPO’s Approach to Better LLM Alignment appeared first on Towards Data Science. Sudheer Singh Go to original source
-
Model Compression: Make Your Machine Learning Models Lighter and Faster
Model Compression: Make Your Machine Learning Models Lighter and Faster Introduction Whether you’re preparing for interviews or building Machine Learning systems at your job, model compression has become a must-have skill. In the era of LLMs, where models are getting larger and larger, the challenges around compressing these models to make them more efficient, smaller,…
-
Hyperflows: Pruning Reveals the Importance of Weights
Hyperflows: Pruning Reveals the Importance of Weights arXiv:2504.05349v1 Announce Type: new Abstract: Network pruning is used to reduce inference latency and power consumption in large neural networks. However, most existing methods struggle to accurately assess the importance of individual weights due to their inherent interrelatedness, leading to poor performance, especially at extreme sparsity levels. We…