A transfer-learning method paper that promises strong benchmark results but contains no experimental results, tables, or figures to support them.
Theoretically prin- cipled trade-off between robustness and accuracy
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
On the Mechanisms of Adversarial Data Augmentation for Robust and Adaptive Transfer Learning
A transfer-learning method paper that promises strong benchmark results but contains no experimental results, tables, or figures to support them.