Tag: out-of-distribution
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Robust Object Representation with Two-Stage Vision Transformers
Discover how two-stage Vision Transformers and hard masking improve object representation robustness against contextual biases and out-of-distribution data...
Why Deep Networks Prefer Simple Data Patterns
Explore how deep networks consistently assign higher density to simpler data, revealing key insights into model behavior and out-of-distribution anomalies.