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Using Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-of-Distribution Robustness.

, , , , and . NeurIPS, (2022)

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Sample-dependent Adaptive Temperature Scaling for Improved Calibration., , , , and . CoRR, (2022)Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image Generators., , , and . ICML, OpenReview.net, (2024)Spacecraft Collision Risk Assessment with Probabilistic Programming., , , , , , , , , and . CoRR, (2020)SECI-GAN: Semantic and Edge Completion for dynamic objects removal., , , and . ICPR, page 10441-10448. IEEE, (2020)Strong Copyright Protection for Language Models via Adaptive Model Fusion., , , and . CoRR, (2024)Towards Automated Satellite Conjunction Management with Bayesian Deep Learning., , , , , , , , , and . CoRR, (2020)An Impartial Take to the CNN vs Transformer Robustness Contest., , and . ECCV (13), volume 13673 of Lecture Notes in Computer Science, page 466-480. Springer, (2022)PILLAR: How to make semi-private learning more effective., , , and . SaTML, page 110-139. IEEE, (2024)Extracting Training Data From Document-Based VQA Models., , , , and . ICML, OpenReview.net, (2024)Sample-Dependent Adaptive Temperature Scaling for Improved Calibration., , , , and . AAAI, page 14919-14926. AAAI Press, (2023)