A unified evaluation framework for large language models
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Updated
Sep 12, 2024 - Python
A unified evaluation framework for large language models
A Toolbox for Adversarial Robustness Research
关于domain generalization,domain adaptation,causality,robutness,prompt,optimization,generative model各式各样研究的阅读笔记
Corruption and Perturbation Robustness (ICLR 2019)
Benchmarking Generalized Out-of-Distribution Detection
Out-of-distribution detection, robustness, and generalization resources. The repository contains a professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc
A curated (most recent) list of resources for Learning with Noisy Labels
Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
A Harder ImageNet Test Set (CVPR 2021)
Raising the Cost of Malicious AI-Powered Image Editing
Code and information for face image quality assessment with SER-FIQ
A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation
Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training
Adversarial attacks and defenses on Graph Neural Networks.
A curated list of trustworthy deep learning papers. Daily updating...
Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)
Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"
EasyRobust: an Easy-to-use library for state-of-the-art Robust Computer Vision Research with PyTorch.
💡 Adversarial attacks on explanations and how to defend them
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