Safety vs. Performance: How Multi-Objective Learning Reduces Barriers to Market Entryby Meena Jagadeesan, Michael I. Jordan,…
An Empirical Study of Scaling Laws for Transferby Matthew BarnettFirst submitted to arxiv on: 30…
Scaling Training Data with Lossy Image Compressionby Katherine L. Mentzer, Andrea MontanariFirst submitted to arxiv…
GraphFM: A Scalable Framework for Multi-Graph Pretrainingby Divyansha Lachi, Mehdi Azabou, Vinam Arora, Eva DyerFirst…
How DNNs break the Curse of Dimensionality: Compositionality and Symmetry Learningby Arthur Jacot, Seok Hoan…
On Implications of Scaling Laws on Feature Superpositionby Pavan KattaFirst submitted to arxiv on: 1…
Information-Theoretic Foundations for Neural Scaling Lawsby Hong Jun Jeon, Benjamin Van RoyFirst submitted to arxiv…
Collaborative Performance Prediction for Large Language Modelsby Qiyuan Zhang, Fuyuan Lyu, Xue Liu, Chen MaFirst…
Resolving Discrepancies in Compute-Optimal Scaling of Language Modelsby Tomer Porian, Mitchell Wortsman, Jenia Jitsev, Ludwig…
Data curation via joint example selection further accelerates multimodal learningby Talfan Evans, Nikhil Parthasarathy, Hamza…