A unified evaluation framework for large language models

Corruption and Perturbation Robustness (ICLR 2019)

Benchmarking Generalized Out-of-Distribution Detection

PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL

A Harder ImageNet Test Set (CVPR 2021)

Code and information for face image quality assessment with SER-FIQ

🔥🔥🔥[AAAI 2026 Oral] Official Implementation of Robust-R1: Degradation-Aware Reasoning for Robust Visual Understanding

Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training

alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021, 2022, 2023, 2024, 2025)

Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)

auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

[NeurIPS 2023] RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions

A repository and benchmark for online test-time adaptation.

ImageNet-R(endition) and DeepAugment (ICCV 2021)

Self-Supervised Learning for OOD Detection (NeurIPS 2019)

Extend python lists operations using .NET's LINQ syntax for clean and fast coding.

A preliminary evaluation of ChatGPT/GPT-4 for machine translation.

Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings".

Repo for "Benchmarking Robustness of 3D Point Cloud Recognition against Common Corruptions" https://arxiv.org/abs/2201.12296