- Berkeley, California
- danhendrycks.com
- @danhendrycks
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math Public
The MATH Dataset (NeurIPS 2021)
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apps Public
APPS: Automated Programming Progress Standard (NeurIPS 2021)
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natural-adv-examples Public
A Harder ImageNet Test Set (CVPR 2021)
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test Public
Measuring Massive Multitask Language Understanding | ICLR 2021
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ethics Public
Aligning AI With Shared Human Values (ICLR 2021)
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anomaly-seg Public
The Combined Anomalous Object Segmentation (CAOS) Benchmark
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init Public
A general weight initialization and how to use batch normalization with dropout
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emodiversity Public
Wellbeing and Emotion Prediction (NeurIPS 2022)
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robustness Public
Corruption and Perturbation Robustness (ICLR 2019)
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pre-training Public
Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)
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jiminy-cricket Public
Jiminy Cricket Environment (NeurIPS 2021)
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outlier-exposure Public
Deep Anomaly Detection with Outlier Exposure (ICLR 2019)
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bairblog.github.io Public
Forked from bairblog/bairblog.github.ioJavaScript MIT License UpdatedSep 29, 2021 -
data-centric-ai Public
Forked from HazyResearch/data-centric-aiResources for Data Centric AI
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imagenet-r Public
ImageNet-R(endition) and DeepAugment (ICCV 2021)
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BIG-bench Public
Forked from google/BIG-benchBeyond the Imitation Game collaborative benchmark for enormous language models
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ss-ood Public
Self-Supervised Learning for OOD Detection (NeurIPS 2019)
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GELUs Public
A smoother activation function (undergrad code)
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Papers-of-Robust-ML Public
Forked from P2333/Papers-of-Robust-MLRelated papers for robust machine learning
5 UpdatedNov 20, 2019 -
adv-eval-paper Public
Forked from evaluating-adversarial-robustness/adv-eval-paperLaTeX source for the paper "On Evaluating Adversarial Robustness"
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error-detection Public
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
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ML-Coursework Public
Old coursework completed during school breaks. TTIC coursework not shown.
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fooling Public
Code for the Adversarial Image Detectors and a Saliency Map