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| | Are there certain types of failures that pre-training alone cannot help with? (gradientscience.org) | |
2 points by eitanturok 10 months ago | past
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| | Show HN: Model-Aware Dataset Selection with Datamodels (DsDm) (gradientscience.org) | |
2 points by logane 12 months ago | past
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| | PhotoGuard: Defending Against Diffusion-Based Image Manipulation (gradientscience.org) | |
2 points by chha on Dec 10, 2022 | past | 1 comment
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| | PhotoGuard: Defending Against Diffusion-Based Image Manipulation (gradientscience.org) | |
3 points by polygamous_bat on Nov 4, 2022 | past
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| | Predicting Predictions with Datamodels (gradientscience.org) | |
2 points by sebg on Feb 3, 2022 | past
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| | Debuggable Deep Networks: Sparse Linear Models (gradientscience.org) | |
6 points by lnyan on May 12, 2021 | past
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| | Identifying Statistical Bias in Dataset Replication (gradientscience.org) | |
1 point by logane on May 26, 2020 | past
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| | Adversarial Examples Are Not Bugs, They Are Features (gradientscience.org) | |
2 points by erex78 on Aug 28, 2019 | past
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| | Adversarial Examples Are Not Bugs, They Are Features (gradientscience.org) | |
1 point by erex78 on Aug 27, 2019 | past
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| | Representations by robust networks align much more closely with human perception (gradientscience.org) | |
1 point by stared on June 6, 2019 | past
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| | How Does Batch Normalization Help Optimization? (gradientscience.org) | |
3 points by diego898 on March 26, 2019 | past
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