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input distribution

7 papers

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Co-occurring keywords · papers mentioning both

neural network (2) data augmentation (2) adversarial robustness (2) tolerance principle (1) productivity learning (1) text transformation (1) statistical query model (1) distribution shift detection (1) class mixture (1) commonsense generation (1)

Papers

Invited Open Problem: Is the Power of Deep Learning over Linear Models Inherently Distribution Dependent? COLT 2026 Bridging the Gap between Pre-Training and Fine-Tuning for Commonsense Generation EACL 2023 Window-Based Distribution Shift Detection for Deep Neural Networks NeurIPS 2023 Modeling the Relationship between Input Distributions and Learning Trajectories with the Tolerance Principle ACL 2022 Sibylvariant Transformations for Robust Text Classification ACL 2022 Learning a Single Neuron with Gradient Methods COLT 2020 On the Sensitivity of Adversarial Robustness to Input Data Distributions ICLR 2019