Dan Hendrycks

test. Measuring Massive Multitask Language Understanding | ICLR 2021

math. The MATH Dataset (NeurIPS 2021)

robustness. Corruption and Perturbation Robustness (ICLR 2019)

natural-adv-examples. A Harder ImageNet Test Set (CVPR 2021)

outlier-exposure. Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

apps. APPS: Automated Programming Progress Standard (NeurIPS 2021)

ethics. Aligning AI With Shared Human Values (ICLR 2021)

imagenet-r. ImageNet-R(endition) and DeepAugment (ICCV 2021)

ss-ood. Self-Supervised Learning for OOD Detection (NeurIPS 2019)

error-detection. A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

anomaly-seg. The Combined Anomalous Object Segmentation (CAOS) Benchmark

GELUs. A smoother activation function (undergrad code)

pre-training. Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)

jiminy-cricket. Jiminy Cricket Environment (NeurIPS 2021)

fooling. Code for the Adversarial Image Detectors and a Saliency Map

emodiversity. Wellbeing and Emotion Prediction (NeurIPS 2022)

ML-Coursework. Old coursework completed during school breaks. TTIC coursework not shown.

init. A general weight initialization and how to use batch normalization with dropout

Papers-of-Robust-ML. Related papers for robust machine learning

BIG-bench. Beyond the Imitation Game collaborative benchmark for enormous language models

emotion-video-mturk. HTML

adv-eval-paper. LaTeX source for the paper "On Evaluating Adversarial Robustness"

data-centric-ai. Resources for Data Centric AI

hendrycks.