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Found 2 papers, 1 papers with code
Revisiting Weakly Supervised Pre-Training of Visual Perception Models
Model pre-training is a cornerstone of modern visual recognition systems.
Ranked #1 on
Out-of-Distribution Generalization
on ImageNet-W
(using extra training data)
Fine-Grained Image Classification
Out-of-Distribution Generalization
+3
Understanding Data Storage and Ingestion for Large-Scale Deep Recommendation Model Training
Innovations that improve the efficiency and performance of DSI systems and hardware are urgent, demanding a deep understanding of DSI characteristics and infrastructure at scale.
