conftrace_

in-distribution data

8 papers

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Co-occurring keywords · papers mentioning both

out-of-distribution detection (6) confidence regularization (1) hopfield energy (1) nuisance feature (1) stored pattern (1) neuron activation coverage (1) pretrained network (1) gradient subspace (1) out-of-distribution performance (1) noisy data (1)

Papers

Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation AISTATS 2025 On Information-Theoretic Measures of Predictive Uncertainty UAI 2025 Image Background Serves as Good Proxy for Out-of-distribution Data ICLR 2024 Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization ICLR 2024 GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients NeurIPS 2023 Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy ICLR 2023 Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability ICML 2023 Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance ACL 2020