Dec 24, 2023 · We explore two common scenarios of transfer learning for linear regression, both of which assume the public and private tasks (regression ...

Leveraging Public Representations for Private Transfer Learning. A PREPRINT. Public data. Private data. (row-level). (a) Single-task transfer. Public data.

This work theoretically investigates how a shared representation learned from public data can improve private learning, and shows that with sufficient ...

Mar 28, 2023 · We demonstrate that large-scale pre-training on a public dataset is an effective strategy for obtaining good results when fine-tuned privately.

Leveraging Public Representations for Private Transfer Learning · Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift.

Leveraging Public Representations for Private Transfer Learning P. Thaker, A. Setlur, Z. Wu, V. Smith. [abstract] [arxiv]. Motivated by the recent empirical ...

Leveraging Public Representations for Private Transfer Learning · no code ... representation learned from public data can improve private learning. regression ...

Leveraging public representations for private transfer learning. P Thaker, A ... Nonlinear isa with auxiliary variables for learning speech representations. A ...

Nov 16, 2023 · The Convergence: Achieving Synergy in AI and MLa. Transfer Learning: The synergy between public and private data is exemplified through transfer ...

Feb 26, 2024 · The main motivation for our transfer learning approach is the desire to leverage representations learnt from low-fidelity data to improve ...