Tel Aviv University

3 Posts

Animated graphs showing how an ensemble of fine-tuned models can provide better performance.
Tel Aviv University

Ensemble Models Simplified: New Machine Learning Research Simplifies Ensembles

A CLIP model whose weights were the mean of an ensemble of fine-tuned models performed as well as the ensemble and better than its best-performing constituent.
Graphs related to ImageNet error landscape
Tel Aviv University

Rightsizing Neural Nets

How much data do we want? More! How large should the model be? Bigger! How much more and how much bigger? New research estimates the impact of dataset and model sizes on neural network performance.
 Proportion of examples covered by number of annotators (sorted by number of annotations)
Tel Aviv University

AI Knows Who Labeled the Data

The latest language models are great at answering questions about a given text passage. However, these models are also powerful enough to recognize an individual writer’s style, which can clue them in to the right answers. New research measures such annotator bias in several data sets.

Subscribe to The Batch

Stay updated with weekly AI News and Insights delivered to your inbox